Classification of Sarcastic and Non-Sarcastic Tweets Using Machine Learning
Keywords:
Classification of Sarcastic, Non-Sarcastic, Tweets, Machine Learning, Random Forest
Abstract
When someone is being sarcastic, they are expressing their negative emotions through the use of positive or exaggerated positive language. A person's tone of voice and body language, such as eye rolling, hand gestures, etc., might give away their sarcasm. Without these non-verbal cues, such as tone of voice and body language, a human being would have a very difficult time detecting sarcasm in written data. These difficulties explain the growing interest in sarcasm detection of social media text, particularly tweets. Major difficulties arise from analysing the ever-increasing volume of tweets. We suggested a machine learning-based framework that can collect tweets in real time and analyse them with algorithms that can accurately detect sarcastic sentiment. We find that the analysis and processing time under an ML-based framework vastly surpasses the traditional methods and is better suited for continuously streaming tweets in real time.
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References
1. Wicana, SetraGenyang, TahaYasinİbisoglu, and UrazYavanoglu. “A Review on sarcasm detection from machine-learning perspective.” 2017 IEEE 11th International Conference on Semantic Computing (ICSC). IEEE, 2017.
2. Selvan, LokmanyathilakGovindanSankar, and TengSheng Moh. “A framework for fast-feedback opinion mining on Twitter data streams.” 2015 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2015.
3. Hiai, Satoshi, and Kazutaka Shimada. “A sarcasm extraction method based on patterns of evaluation expressions.” 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016.
4. Zhang, Meishan, Yue Zhang, and Guohong Fu. “Tweet sarcasm detection using deep neural network.” Proceedings of COLING 2016, The 26th International Conference on Computational Linguistics: Technical Papers. 2016.
5. F. Karim, H. Abulkasim, E. Alabdulkreem, N. Ahmed, M. Jamjoom, and S. Abbas, "Improvements on new quantum key agreement protocol with five-qubit Brown states," Modern Physics Letters A, vol. 37, p. 2250128, 2022.
6. H. Abulkasim, E. Alabdulkreem, and S. Hamad, "Improved Multi-party Quantum Key Agreement with Four-qubit Cluster States," CMC-Computers Materials & Continua, vol. 73, pp. 225-232, 2022.
7. H. Abulkasim, E. Alabdulkreem, F. Karim, N. Ahmed, M. Jamjoom, M. Hadjouni, et al., "Cryptanalysis and Improvements on Quantum Key Agreement Protocol Based on Quantum Search Algorithm," Security and Communication Networks, vol. 2022, 2022
8. H. Abulkasim, M. Jamjoom, and S. Abbas, "Securing Copyright Using 3D Objects Blind Watermarking Scheme," CMC-Computers Materials & Continua, vol. 72, pp. 5969-5983, 2022.
9. Elhadad, S. Hamad, A. Khalifa, and H. Abulkasim, "A steganography approach for hiding privacy in video surveillance systems," in Digital Media Steganography, ed: Elsevier, 2020, pp. 165-187.
10. Elhadad, S. Abbas, H. Abulkasim, and S. Hamad, "Improving the security of multi-party quantum key agreement with five-qubit Brown states," Computer Communications, vol. 159, pp. 155-160, 2020.
11. M. Jamjoom, H. Abulkasim, and S. Abbas, "Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles," Security & Communication Networks, 2022.
12. H. Abulkasim and A. Alotaibi, "Improvement on ‘multiparty quantum key agreement with four-qubit symmetric W state’," International Journal of Theoretical Physics, vol. 58, pp. 4235-4240, 2019.
13. B. R. Rajagopal, B. Anjanadevi, M. Tahreem, S. Kumar and M. Debnath, and K. Tongkachok, "Comparative Analysis of Blockchain Technology and Artificial Intelligence and its impact on Open Issues of Automation in Workplace," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp. 288-292.
14. B.R. Rajagopal, E. Kannapiran, A.D. Gupta, M.Momin and D.S.K. Chakravarthy, "The future prospects and challenges of implementing big data in healthcare management using Structural equation model analysis," Bull. Env. Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 1111-1119, 2022.
15. N.P. Krishnam, M.S. Ashraf, B.R. Rajagopal,P.Vats and D.S.K. Chakravarthy and S.M. Rafi, "Analysis Of Current Trends, Advances And Challenges Of Machine Learning (Ml) And Knowledge Extraction: From Ml To Explainable AI," Industry Qualifications The Institute of Administrative Management UK, Vol.58, pp. 54-62, May 2022.
16. A.D.Gupta, S.M. Rafi, B.R. Rajagopal, T.Milton and S.G.Hymlin, "Comparative analysis of internet of things (IoT) in supporting the health care professionals towards smart health research using correlation analysis," Bull.Env.Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 701-708, 2022.
17. Roja Boina, “Assessing the Increasing Rate of Parkinson's Disease in the US and its Prevention Techniques”, International Journal of Biotechnology Research and Development, 3(1), pp. 1-18, 2022.
18. G. Nagamalleswari, P. Prachet, A.E. Prabahar, P.V. Suresh, N. Rama Rao; Enantio Separation By Hplc – A Review; IAJPR. 2015; 5(3): 1078-1083. N. Jaya Raju, Ch.Avinash, P.V. Suresh; Evaluation Of In Vitro Anthelmintic Activity Of Seed Extracts Of Thymus Serpyllum; IAJPR. 2015; 5(3): 1230-1233.
19. Gollapalli Nagararaju, Karumudi Bhavya Sai, Kota Chandana, Madhu Gudipati, P.V.Suresh, Nadendla Ramarao; synthesis, evaluation of antioxidant and antimicrobial study of 2-substituted benzothiazole derivatives; Indo American Journal of Pharmaceutical Research; 2015, 50 (03), pg. 1288.
20. M.P.Harshitha, P. Venkata Suresh, “Simultaneous determination of residual NSAIDS and antibiotics in raw milk by RP-HPLC”, International Journal of Pharmaceutical Sciences and Research, 2014, Vol:5.
21. J. Ashok Kumar, P. Venkata Suresh, J. Priyanka, R. Anusha, N. Geetha Anupama, A. E.Prabahar, Rama Rao. N, “A Rapid and Novel Green Analytical Chemistry method for estimation of minocycline hydrochloride in pharmaceutical formulations by Fourier Transform Mid Infrared (FT-MIR) spectroscopy” International Journal of Pharmaceutical Analysis, 2014, 39 (1), 1205 – 1209.
22. K. Swathi, P. Venkata Suresh, A.Elphine Prabahar, “Colorimetric estimation of Ezetimibe in bulk and pharmaceutical dosage form by MBTH”, Pharm analysis & quality assurance, 2014, 1-3.
23. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Bio- analytical method development and validation of Valsartan by precipitation method with HPLC-MS/MS: Application to a pharmacokinetic study, Journal of Chemical and Pharmaceutical Research, 2013, 5(7):7-20.
24. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of Desloratadine in Human Plasma by LC-ESI-MS/MS and Application to a Pharmacokinetic Study”; Elsevier Limited; Journal of Pharmaceutical Analysis, issue 2 (2012), 180-187.
25. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of sibutramine and its two metabolites in human plasma by LC–ESI-MS/MS and its application in a bioequivalence study”; Elsevier Limited; Journal of Pharmaceutical Analysis, Vol.2, issue 4, (2012),pp. 249-257.
26. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantitative analysis of eletriptan in human plasma by HPLC-MS/MS and its application to pharmacokinetic study”, Springer, Anal Bioanal Chem.2011 Nov; 401(8):2539-48. Epub.2011 Sep 3.
27. P. Venkata Suresh, Rama Rao.Nadendla “HPTLC Method for the Simultaneous Estimation of Etophylline and Theophylline in Tablet Dosage Forms”; Asian journal of chemistry, 2011, 23, 1,309-311.
28. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, P, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods” Journal of Pharmacy research, 2011; 4(2):509-511.
29. Nagamalleswari, G., D.Phanendra, Prabahar, A.E., P. Venkata Suresh, Ramarao, N., “Development and validation of chromatographic method for simultaneous estimation of levocetricine and phenylepherine in pharmaceutical dosage forms” International journal of advances in pharmaceutical research, 2013,Vol 4, issue 7, 1921-26.
30. V. Venkatesh, A. Elphine Prabahar, P. Venkata Suresh, Ch. Uma Maheswari, and N. Rama Rao “RP-HPLC Method for Simultaneous Estimation of Azithromycin and Ambroxol Hydrochloride in Tablets” Asian journal of Chemistry, 2011, 23, 1,312-314.
31. P. Venkata Suresh, Rama Rao.Nadendla, “A New RP-HPLC Method For Simultaneous Estimation Of Etophylline And Theophylline In Tablets” Research Journal of Pharmacy and Technology; Vol: 4No:1: January-February: 2011.
32. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods”; Journal of Pharmacy Research, 2011; 4(2):509-511.
33. Ali-Mohammad Kamali , Milad Kazemiha, Behnam Keshtkarhesamabadi, Mohsan Daneshvari, Asadollah Zarifkar, Prasun Chakrabarti, Babak Kateb, Mohammad Nami “Simultaneous Transcranial and Transcutaneous Spinal Direct Current Stimulation to Enhance Athletic Performance Outcome in Experienced Boxers”, Scientific Reports , 11 : 19722, 2021.
34. Xin Wang, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti , "Event-triggered Adaptive Fault-tolerant Control for a Class of Nonlinear Multiagent Systems with Sensor and Actuator Faults" , IEEE Transactions on Circuits and Systems I: Regular Papers, 2022.
35. Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz , Michal Jasiński , Tomasz Sikorski , Prasun Chakrabarti “Online Rotor And Stator Resistance Estimation Based On Artificial Neural Network Applied In Sensorless Induction Motor Drive”, Energies , 13 : 4946 , 2020.
36. Prince, Ananda Shankar Hati , Prasun Chakrabarti , Jemal Hussein , Ng Wee Keong , "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network" , Neural Computing and Applications , 33 : 8659 , 2021.
37. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility , 13(2) : 971 , 2021.
38. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease - A Machine Learning perspective", IEEE Access, 9 : 17312-17334,2021.
39. Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michał Jasiński , Zbigniew Leonowicz, Elzbieta Jasinska , “Deep Learning methods for classification of certain abnormalities in Echocardiography”, Electronics , 10 : 495., 2021.
40. Rajkumar Soni , Prasun Chakrabarti , Zbigniew Leonowicz , Michal Jasinski , Krzysztof Wieczorek , Vadim Bolshev, “Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation , Pollution Index and Dielectric Strength”, IEEE Access, 9 : 37456, 2021.
41. Yogendra Singh Solanki, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Vadim Bolshev , Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono, Mohammad Nami , “A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches”, Electronics ,10(6) : 699, 2021.
42. Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey, Somnath Mukhopadhayay, Prasun Chakrabarti, “Hyperspectral Multi-level Image Thresholding using Qutrit Genetic Algorithm Expert Systems With Applications”, Expert Systems with Applications, 181 : 115107, 2021.
43. K. Suresh and E. Parimalasundar, "A Modified Multi Level Inverter with Inverted SPWM Control," in IEEE Canadian Journal of Electrical and Computer Engineering, vol. 45, no. 2, pp. 99-104, Spring 2022.
44. K. Suresh and E. Parimalasundar, “A novel dual-leg DC-DC converter for wide range DC-AC conversion,” Automatika, vol. 63, no. 3, pp.572-579, 2022.
45. Parimalasundar Ezhilvannan and Suresh Krishnan, “An efficient asymmetric direct current (DC) source configured switched capacitor multi-level inverter,” Journal Européen des Systèmes Automatisés, vol. 53, no. 6, pp.853-859, 2020.
46. E. Parimalasundar, S. Jayakumar, R. Ravikumar and K. Suresh, “Investigation analysis of open circuit and short circuit fault on cascaded H-bridged multilevel inverter using artificial neural network approach,” International Journal of Electrical and Electronics Research (IJEER), vol. 10, no. 2, pp.320-326.
47. P. Srinivas Subbarao (2019), Work Life Balance a Challenge for employees in Indian IT & ITES Industry, Rupkatha Journal on interdisciplinary studies in humanities Vol. 11, No. 2, pp 1-12 .
48. Srinivas Subbarao Pasumarti (2020) , CSR and Socio-Economic Development – A Case study of selected PSUs in the state of Odisha, Journal of Critical Reviews, Vol.7, Issue 13, pp.1407-1415.
49. P. Srinivas Subbarao (2019), Influence of Demographic Factors on Recruitment and Selection of Employees in IT & ITES Industry, Journal of Advanced Research in Dynamical and Control Systems, Vol.11, No.6, Pp-52-61
50. P. Srinivas Subbarao (2015), Accomplishment of Gandhian Globalization is a myth or reality, Research Journal of Commerce & behavioral Science, Vol 4, No 10.
51. P. Srinivas Subbarao (2013), Raison d’être for setting up SME exchange Golden Research Thoughts special edition on “Innovation for Sustainable Growth of Business” Vo.1, Sep’2013, Pp.71-74
52. Al Shraah, A., Abu-Rumman, A., Alqhaiwi, L.A., & Alsha'ar, H. “The impact of sourcing strategies and logistics capabilities on organizational performance during the COVID-19 pandemic: Evidence from Jordanian pharmaceutical industries”. Uncertain Supply Chain Management. Vol. 10 No. 3, pp. 1077-1090. (2022). https://doi:10.5267/j.uscm.2022.2.004
53. Abu-Rumman, Ayman. "Effective Knowledge Sharing: A Guide to the Key Enablers and Inhibitors." In Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance. Edited by Tessier, Dana, 133-156. Hershey, PA: IGI Global, 2021.
54. Al Shraah, A., Irtaimeh, H.J., & Rumman, M.A. “The Strategic Human Resource Management Practices in Implying Total Quality Management (TQM): An Empirical Study on Jordanian Banking Sector. International Journal of Management. Vol. 4, No. 5. Pp.179-190. (2013).
55. Abu-Rumman, A. And Qawasmeh, R. "Assessing international students' satisfaction of a Jordanian university using the service quality model", Journal of Applied Research in Higher Education, (2021). https://doi.org/10.1108/JARHE-05-2021-0166
56. Khaled Lafi Al-Naif And Ata E. M. Al Shraah. “Working capital management and profitability: Evidence from Jordanian mining and extraction industry sector. IUG Journal of Economics and Business. Vol. 2, No. 1, pp 42-60. (2018)
57. K. Kankaew (eds), Global Air Transport Management and Reshaping Business Models for the New Era. Hershey: IGI Global, 2022.
58. B. Worasuwannarak, K. Kankaew, “The image value of Southeast Asia airlines: A study of attribute that led to image value of choosing Southeast Asia airlines by Mean-End theory approach,” In Global Air Transport Management and Reshaping Business Models for the New Era, K. Kankaew, Eds. Hershey: IGI Global, 2022, pp. 192-206.
59. K. Kankaew, K. Kangwol, A. Guzikova, S. Kungwol, B. Sitikarn, T. Suksutdhi, “Organizational Structure Enhancing Airlines Efficiency Amid the Pandemic: Low-Cost Carriers in Thailand as a Case,” GeoJournal of Tourism and Geosites, vol. 38, pp. 1189-1194, 2021.
60. K. Kankaew, E. Tansiri, R. Waramontri, N. Paethrangsi, K. Kungwol, B. Sitikarn, K. Charernit, “Coping with the changes that challenges: The business and education sector in Thailand 4.0,”International Journal of Asian Business and Information Management, vol. 13, 2021.
61. B. Sitikarn, K. Kankaew, Y. Sawangdee, “Coffee value symbiosis toward a mountain geographical community-based tourism in Thailand,” GeoJournal of Tourism and Geosites, vol. 42, pp. 657-663, 2022.
62. M. Alsoud and I. Othman, "Factors influencing online shopping intention in Jordan: an empirical study based on the Tam model", International Journal of Current Innovations in Advanced Research, vol. 1, no. 6, pp. 1-13, 2018.
63. R. Imtiaz, M. Alsoud, M. Ramish, A. Aziz and A. Anwar, "Impact of Face book on Advertising: Analysis of effectiveness of Face book on enhancing customer purchase intention", Elementary Education Online, vol. 20, no. 5, pp. 7130-7149, 2021.
64. M. Alsoud and I. Othman, "The Determinant of Online Shopping Intention in Jordan: A Review and Suggestions for Future Research", International Journal of Academic Research in Business and Social Sciences, vol. 8, no. 8, 2018.
65. T. Majali, M. Alsoud, A. Omar and I. Alhassan, "Social Media Use as Health Awareness Tool: A Study among Healthcare Practitioners", Multicultural Education, vol. 7, no. 2, pp. 1-5, 2021.
66. T. Majali, M. Alsoud, H. Yaseen, R. Almajali and S. Barkat, "The effect of digital review credibility on Jordanian online purchase intention", International Journal of Data and Network Science, vol. 6, no. 3, pp. 973-982, 2022.
67. Trawnih, S. Al-Masaeed, M. Alsoud and A. Alkufahy, "Understanding artificial intelligence experience: A customer perspective", International Journal of Data and Network Science, vol. 6, no. 4, pp. 1471-1484, 2022.
68. T. Majali, A. Omar, M. Alsoud and S. Barakat, "Use of Social Media in Promoting Breast Cancer Awareness among Malaysian Women of Generation Y: A Conceptual Framework", Multicultural Education, vol. 7, no. 2, pp. 58-67, 2021.
69. A. Al-Adwan, M. Alrousan, H. Yaseen, A. Alkufahy and M. Alsoud, "Boosting Online Purchase Intention in High-Uncertainty-Avoidance Societies: A Signaling Theory Approach", Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, no. 3, p. 136, 2022.
70. M. Alsoud, M., and A. Mustafa. “The Impact of Security Protection on Online Shopping Intention upon Jordanian Markets”, Merit Research Journal of Business and Management, vol.8, no.2, pp.023-027.
71. A. Al-Adwan, H. Yaseen, A. Alsoud, F. Abousweilem and W. Al-Rahmi, "Novel extension of the UTAUT model to understand continued usage intention of learning management systems: the role of learning tradition", Education and Information Technologies, vol. 27, no. 3, pp. 3567-3593, 2021.
72. A. Al Adwan, "Case study and grounded theory: a happy marriage? An exemplary application from healthcare informatics adoption research", International Journal of Electronic Healthcare, vol. 9, no. 4, p. 294, 2017.
73. A. Samed Al-Adwan, M. Nofal, H. Akram, N. Awni Albelbisi and M. Al-Okaily, "Towards a Sustainable Adoption of E-Learning Systems: The Role of Self-Directed Learning", Journal of Information Technology Education: Research, vol. 21, pp. 245-267, 2022.
74. A. Al-Adwan, M. Al-Debei and Y. Dwivedi, "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions", Technology in Society, vol. 71, p. 102083, 2022.
75. A. Al-Adwan, “Novel research framework for social commerce purchase intentions”, Journal of Theoretical & Applied Information Technology, vol. 96, no.14, pp.4390-4404, 2018.
76. A. Al-Adwan and G. Sammour, "What Makes Consumers Purchase Mobile Apps: Evidence from Jordan", Journal of Theoretical and Applied Electronic Commerce Research, vol. 16, no. 3, pp. 562-583, 2020.
77. N. Albelbisi, A. Al-Adwan and A. Habibi, "Impact Of Quality Antecedents On Satisfaction Toward MOOC", Turkish Online Journal of Distance Education, pp. 164-175, 2021.
78. R. Meet, D. Kala and A. Al-Adwan, "Exploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model", Education and Information Technologies, vol. 27, no. 7, pp. 10261-10283, 2022.
79. Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.
80. Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI), doi: 1109/JBHI.2021.3097237.
81. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07055-1.
82. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
83. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Application(IJCA), Vol. 179, Number 46, 2021, USA.
84. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, ,Vol 51 issue 04, 2021.
85. Yogesh Rajput, Shaikh Abdul Hannan, Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
86. Anupriya Kamble, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
87. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
88. Anupriya Kamble, Shaikh Abdul Hannan, Yogesh Rajput and Ramesh Manza, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus-2 using Pattern Recognition”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
89. Yogesh Rajput, Shaikh Abdul Hannan, Dnyaneshwari Patil, Ramesh Manza "Design New Wavelet Filter for Detection and Grading of Non-Proliferative Diabetic Retinopathy Lesions" The 3rd International Conference on recent Trends in Image Processing and pattern recognition, Springer conference, Jan 2020, Aurangabad, Maharashtra, India.
90. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
91. Mohammad Eid Alzaharani and Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”,Page 6-15. , Issue,1, Vol 5, KKU Journal of Basic and Applied Sciences, Mar 2019.
92. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA.
93. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, ISSN: 2241-4487, Greece.
94. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 8887), Pag 7-12, Volume 179 – No.46, June 2018.
95. Y. M. Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzahrani, R. R. Manza, Dnyaneshwari D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review” Vol 7, Issue 1, Jan 2019, E- ISSN: 2347-2693, India .
96. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
97. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3147428.
98. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
99. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
100. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808
101. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
102. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
103. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786.
104. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
105. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
106. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
107. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
108. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar, Deepak Garg,Ketan Kotecha, Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808
109. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766.
110. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022.
111. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210.
112. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
113. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
114. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050.
115. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
116. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
117. A. Al-Adwan, "Revealing the Influential Factors Driving Social Commerce Adoption", Interdisciplinary Journal of Information, Knowledge, and Management, vol. 14, pp. 295-324, 2019. Available: 10.28945/4438
118. P. Srinivas Subbarao (2013), Bank credit to infrastructure in India-Issues, Challenges and Strategies”, International Journal of Decision Making in Management, Vol.2, Issue 1, Pp 55-62
119. P. Srinivas Subbarao, P. Suseela Rani (2011), Application of information Technology in Agriculture-An Indian Experience” , Global Journal of Business Management Vol.5, No.1, pp-58-66
120. R. Senthilkumar, B. G. Geetha, "Asymmetric Key Blum-Goldwasser Cryptography for Cloud Services Communication Security," Journal of Internet Technology, vol. 21, no. 4 , pp. 929-939, Jul.2020.
121. Senthil kumar, R., Geetha, B.G. Signature Verification and Bloom Hashing Technique for Efficient Cloud Data Storage. Wireless Pers Commun 103, 3079–3097,2018.
122. P. Srinivas Subbarao (2007) ,Changing Paradigm in Indian Banking, Gyan Management” an International Biannual Refereed Journal of Management & Technology, Vol.1 No.2 pp 51-60.
123. P. Srinivas Subbarao, P. Suseela Rani (2012), Participative Management in Post Liberalization -A Case study of Indian Jute Industry, European Journal of Business and Management, Vol.4, No.8, pp 37-46
124. S. R. Vadyala, S. N. Betgeri, J. C. Matthews, and E. Matthews, “A review of physics-based machine learning in civil engineering.” Results in Engineering, vol. 13, p. 100316, 2022.
125. S. R. Vadyala, S. N. Betgeri, and N. P. Betgeri, “Physics-informed neural network method for solving one-dimensional advection equation using PyTorch.” Array, vol. 13, p. 100110, 2022.
126. S. R. Vadyala and E. A. Sherer, “Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports From Multicenter Colonoscopy (Preprint).” 2021.
127. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
128. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
129. J.A. Zarnan. On the numerical solution of Urysohn integral equation using Chebyshev polynomial. International Journal of Basic & Applied Sciences IJBAS-IJENS , 16 (06), 23-27, (2016).
130. J.A. Zarnan, Numerical solution of Volterra integral equations of Second Kind. Int. J. Comput. Sci. Mobile Comput., 5(7), 509-517, (2016).
131. J.A. Zarnan, A novel approach for the solution of a class of Urysohn integral equations using Bernstein polynomials. Int. J. Adv. Res , 5 (1), 2156-2162.(2017).
132. J. A. Zarnan, W. M. Hameed.. A comparison study between two approaches for solution of Urysohn integral equation by using statistical method, International Journal of Advances in Applied Mathematics and Mechanics, 6(1), 65-68. (2018)
133. P.Srinivas Subbarao (2015), Gandhian Principles of Management and its Contemporary Relevance, International Journals of Peace &Gandhian Studies titled Gandhian Vision, Vol.2, Issue-1, Pp-155-162.
134. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
135. R. Oak, “Poster: Adversarial examples for hate speech classifiers,” in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019.
136. R. Oak and M. Khare, “A novel architecture for continuous authentication using behavioural biometrics,” in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017, pp. 767–771.
137. R. Oak, “A literature survey on authentication using behavioural biometric techniques,” in Intelligent Computing and Information and Communication, Singapore: Springer Singapore, 2018, pp. 173–181.
138. M. Khare and R. Oak, “Real-time distributed denial-of-service (DDoS) attack detection using decision trees for server performance maintenance,” in Asset Analytics, Singapore: Springer Singapore, 2020, pp. 1–9.
139. W.M. Hameed and N.A. Ali,” Enhancing imputation techniques performance utilizing uncertainty aware predictors and adversarial learning,” Periodicals of Engineering and Natural Sciences (PEN) , vol. 10(3), pp.350-367, Jun 2022.
140. W. M. Hameed, “The Role of Crossover on Optimization of a Function Problem Using Genetic Algorithms,” International Journal of Computer Science and Mobile Computing, vol.5 (7), pp. 425-429, jul.2016.
141. W. M. Hameed, A. B. Kanbar, J. A. Zarnan,” Fast Algorithms To Find The Shortest Path Using Matrices,” International Journal Of Scientific & Technology Research, vol. 7 (8),pp.159-161, Aug. 2018.
142. W. M. Hameed, A. B. Kanbar,” A comparative study of crossover operators for genetic algorithms to solve travelling salesman problem,” International Journal of Research–Granthaalayah, vol.5 (2), pp.284-291, Feb. 2017.
143. W. M. Hameed, A. B. Kanbar, “Using GA for evolving weights in neural networks,” Applied Computer Science, vol. 15 (3), pp.21-33. Sep.2019.
144. J. A. Zarnan, W. M. Hameed, ”A comparison study between two approaches for solution of Urysohn integral equation by using statistical method,” Int. J. Adv. Appl. Math. and Mech., vol.5 (4) , pp.65-68, 2018.
145. J. A. Zarnan, W. M. Hameed , “On The Numerical Eigenvalues of a Spring-Mass System,” International Journal of Computer Science and Mobile Computing, vol. 5(8), pp.51-54, Aug.2016.
146. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “A novel Approach for Solution of a Love’s Integral Equation Using Chebyshev Polynomials,” Int. Adv. Appl. Math. And Mech., 7(3), 96-101, March 2020.
147. W.M. Hameed and N.A. Ali,” Comparison of Seventeen Missing Value Imputation Techniques,” Journal of Hunan University, vol. 49(7), pp.26-36, July 2022.
148. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
149. D. K. Sharma, B. Singh, R. Regin, R. Steffi and M. K. Chakravarthi, "Efficient Classification for Neural Machines Interpretations based on Mathematical models," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2015-2020.
150. F. Arslan, B. Singh, D. K. Sharma, R. Regin, R. Steffi and S. Suman Rajest, "Optimization Technique Approach to Resolve Food Sustainability Problems," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 25-30.
151. G. A. Ogunmola, B. Singh, D. K. Sharma, R. Regin, S. S. Rajest and N. Singh, "Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 13-18.
152. D. K. Sharma, B. Singh, M. Raja, R. Regin and S. S. Rajest, "An Efficient Python Approach for Simulation of Poisson Distribution," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2011-2014.
153. D. K. Sharma, B. Singh, E. Herman, R. Regine, S. S. Rajest and V. P. Mishra, "Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 19-24.
154. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Histogram Shifting based Quick Response Steganography method for Secure Communication” Wireless Communications and Mobile Computing. vol. 2022, 10 pages, 2022.
155. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Design of Automated Deep Learning-based Fusion Model for Copy-Move Image Forgery Detection” Computational Intelligence and Neuroscience. vol. 2022, 9 pages, 2022.
156. Hariprasath Manoharan, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, K Venkatachalam, Acclimatization Of Nano Robots In Medical Applications Using Artificial Intelligence System With Data Transfer Approach” Wireless Communications And Mobile Computing. vol. 2022, 9 pages, 2022.
157. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
158. Ashok Kumar L, Ramya Kuppusamy, Yuvaraja Teekaraman, Indragandhi V, Arun Radhakrishnan, Design and Implementation of Automatic Water Spraying System for Solar Photovoltaic Module” Mathematical Problems In Engineering. vol. 2022, 9 pages, 2022.
159. K Veena, K Meena, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Cybercrime Detection using C SVM and KNN Techniques” Wireless Communications and Mobile Computing. vol. 2022, 8 pages, 2022.
2. Selvan, LokmanyathilakGovindanSankar, and TengSheng Moh. “A framework for fast-feedback opinion mining on Twitter data streams.” 2015 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2015.
3. Hiai, Satoshi, and Kazutaka Shimada. “A sarcasm extraction method based on patterns of evaluation expressions.” 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016.
4. Zhang, Meishan, Yue Zhang, and Guohong Fu. “Tweet sarcasm detection using deep neural network.” Proceedings of COLING 2016, The 26th International Conference on Computational Linguistics: Technical Papers. 2016.
5. F. Karim, H. Abulkasim, E. Alabdulkreem, N. Ahmed, M. Jamjoom, and S. Abbas, "Improvements on new quantum key agreement protocol with five-qubit Brown states," Modern Physics Letters A, vol. 37, p. 2250128, 2022.
6. H. Abulkasim, E. Alabdulkreem, and S. Hamad, "Improved Multi-party Quantum Key Agreement with Four-qubit Cluster States," CMC-Computers Materials & Continua, vol. 73, pp. 225-232, 2022.
7. H. Abulkasim, E. Alabdulkreem, F. Karim, N. Ahmed, M. Jamjoom, M. Hadjouni, et al., "Cryptanalysis and Improvements on Quantum Key Agreement Protocol Based on Quantum Search Algorithm," Security and Communication Networks, vol. 2022, 2022
8. H. Abulkasim, M. Jamjoom, and S. Abbas, "Securing Copyright Using 3D Objects Blind Watermarking Scheme," CMC-Computers Materials & Continua, vol. 72, pp. 5969-5983, 2022.
9. Elhadad, S. Hamad, A. Khalifa, and H. Abulkasim, "A steganography approach for hiding privacy in video surveillance systems," in Digital Media Steganography, ed: Elsevier, 2020, pp. 165-187.
10. Elhadad, S. Abbas, H. Abulkasim, and S. Hamad, "Improving the security of multi-party quantum key agreement with five-qubit Brown states," Computer Communications, vol. 159, pp. 155-160, 2020.
11. M. Jamjoom, H. Abulkasim, and S. Abbas, "Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles," Security & Communication Networks, 2022.
12. H. Abulkasim and A. Alotaibi, "Improvement on ‘multiparty quantum key agreement with four-qubit symmetric W state’," International Journal of Theoretical Physics, vol. 58, pp. 4235-4240, 2019.
13. B. R. Rajagopal, B. Anjanadevi, M. Tahreem, S. Kumar and M. Debnath, and K. Tongkachok, "Comparative Analysis of Blockchain Technology and Artificial Intelligence and its impact on Open Issues of Automation in Workplace," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp. 288-292.
14. B.R. Rajagopal, E. Kannapiran, A.D. Gupta, M.Momin and D.S.K. Chakravarthy, "The future prospects and challenges of implementing big data in healthcare management using Structural equation model analysis," Bull. Env. Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 1111-1119, 2022.
15. N.P. Krishnam, M.S. Ashraf, B.R. Rajagopal,P.Vats and D.S.K. Chakravarthy and S.M. Rafi, "Analysis Of Current Trends, Advances And Challenges Of Machine Learning (Ml) And Knowledge Extraction: From Ml To Explainable AI," Industry Qualifications The Institute of Administrative Management UK, Vol.58, pp. 54-62, May 2022.
16. A.D.Gupta, S.M. Rafi, B.R. Rajagopal, T.Milton and S.G.Hymlin, "Comparative analysis of internet of things (IoT) in supporting the health care professionals towards smart health research using correlation analysis," Bull.Env.Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 701-708, 2022.
17. Roja Boina, “Assessing the Increasing Rate of Parkinson's Disease in the US and its Prevention Techniques”, International Journal of Biotechnology Research and Development, 3(1), pp. 1-18, 2022.
18. G. Nagamalleswari, P. Prachet, A.E. Prabahar, P.V. Suresh, N. Rama Rao; Enantio Separation By Hplc – A Review; IAJPR. 2015; 5(3): 1078-1083. N. Jaya Raju, Ch.Avinash, P.V. Suresh; Evaluation Of In Vitro Anthelmintic Activity Of Seed Extracts Of Thymus Serpyllum; IAJPR. 2015; 5(3): 1230-1233.
19. Gollapalli Nagararaju, Karumudi Bhavya Sai, Kota Chandana, Madhu Gudipati, P.V.Suresh, Nadendla Ramarao; synthesis, evaluation of antioxidant and antimicrobial study of 2-substituted benzothiazole derivatives; Indo American Journal of Pharmaceutical Research; 2015, 50 (03), pg. 1288.
20. M.P.Harshitha, P. Venkata Suresh, “Simultaneous determination of residual NSAIDS and antibiotics in raw milk by RP-HPLC”, International Journal of Pharmaceutical Sciences and Research, 2014, Vol:5.
21. J. Ashok Kumar, P. Venkata Suresh, J. Priyanka, R. Anusha, N. Geetha Anupama, A. E.Prabahar, Rama Rao. N, “A Rapid and Novel Green Analytical Chemistry method for estimation of minocycline hydrochloride in pharmaceutical formulations by Fourier Transform Mid Infrared (FT-MIR) spectroscopy” International Journal of Pharmaceutical Analysis, 2014, 39 (1), 1205 – 1209.
22. K. Swathi, P. Venkata Suresh, A.Elphine Prabahar, “Colorimetric estimation of Ezetimibe in bulk and pharmaceutical dosage form by MBTH”, Pharm analysis & quality assurance, 2014, 1-3.
23. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Bio- analytical method development and validation of Valsartan by precipitation method with HPLC-MS/MS: Application to a pharmacokinetic study, Journal of Chemical and Pharmaceutical Research, 2013, 5(7):7-20.
24. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of Desloratadine in Human Plasma by LC-ESI-MS/MS and Application to a Pharmacokinetic Study”; Elsevier Limited; Journal of Pharmaceutical Analysis, issue 2 (2012), 180-187.
25. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of sibutramine and its two metabolites in human plasma by LC–ESI-MS/MS and its application in a bioequivalence study”; Elsevier Limited; Journal of Pharmaceutical Analysis, Vol.2, issue 4, (2012),pp. 249-257.
26. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantitative analysis of eletriptan in human plasma by HPLC-MS/MS and its application to pharmacokinetic study”, Springer, Anal Bioanal Chem.2011 Nov; 401(8):2539-48. Epub.2011 Sep 3.
27. P. Venkata Suresh, Rama Rao.Nadendla “HPTLC Method for the Simultaneous Estimation of Etophylline and Theophylline in Tablet Dosage Forms”; Asian journal of chemistry, 2011, 23, 1,309-311.
28. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, P, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods” Journal of Pharmacy research, 2011; 4(2):509-511.
29. Nagamalleswari, G., D.Phanendra, Prabahar, A.E., P. Venkata Suresh, Ramarao, N., “Development and validation of chromatographic method for simultaneous estimation of levocetricine and phenylepherine in pharmaceutical dosage forms” International journal of advances in pharmaceutical research, 2013,Vol 4, issue 7, 1921-26.
30. V. Venkatesh, A. Elphine Prabahar, P. Venkata Suresh, Ch. Uma Maheswari, and N. Rama Rao “RP-HPLC Method for Simultaneous Estimation of Azithromycin and Ambroxol Hydrochloride in Tablets” Asian journal of Chemistry, 2011, 23, 1,312-314.
31. P. Venkata Suresh, Rama Rao.Nadendla, “A New RP-HPLC Method For Simultaneous Estimation Of Etophylline And Theophylline In Tablets” Research Journal of Pharmacy and Technology; Vol: 4No:1: January-February: 2011.
32. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods”; Journal of Pharmacy Research, 2011; 4(2):509-511.
33. Ali-Mohammad Kamali , Milad Kazemiha, Behnam Keshtkarhesamabadi, Mohsan Daneshvari, Asadollah Zarifkar, Prasun Chakrabarti, Babak Kateb, Mohammad Nami “Simultaneous Transcranial and Transcutaneous Spinal Direct Current Stimulation to Enhance Athletic Performance Outcome in Experienced Boxers”, Scientific Reports , 11 : 19722, 2021.
34. Xin Wang, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti , "Event-triggered Adaptive Fault-tolerant Control for a Class of Nonlinear Multiagent Systems with Sensor and Actuator Faults" , IEEE Transactions on Circuits and Systems I: Regular Papers, 2022.
35. Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz , Michal Jasiński , Tomasz Sikorski , Prasun Chakrabarti “Online Rotor And Stator Resistance Estimation Based On Artificial Neural Network Applied In Sensorless Induction Motor Drive”, Energies , 13 : 4946 , 2020.
36. Prince, Ananda Shankar Hati , Prasun Chakrabarti , Jemal Hussein , Ng Wee Keong , "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network" , Neural Computing and Applications , 33 : 8659 , 2021.
37. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility , 13(2) : 971 , 2021.
38. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease - A Machine Learning perspective", IEEE Access, 9 : 17312-17334,2021.
39. Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michał Jasiński , Zbigniew Leonowicz, Elzbieta Jasinska , “Deep Learning methods for classification of certain abnormalities in Echocardiography”, Electronics , 10 : 495., 2021.
40. Rajkumar Soni , Prasun Chakrabarti , Zbigniew Leonowicz , Michal Jasinski , Krzysztof Wieczorek , Vadim Bolshev, “Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation , Pollution Index and Dielectric Strength”, IEEE Access, 9 : 37456, 2021.
41. Yogendra Singh Solanki, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Vadim Bolshev , Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono, Mohammad Nami , “A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches”, Electronics ,10(6) : 699, 2021.
42. Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey, Somnath Mukhopadhayay, Prasun Chakrabarti, “Hyperspectral Multi-level Image Thresholding using Qutrit Genetic Algorithm Expert Systems With Applications”, Expert Systems with Applications, 181 : 115107, 2021.
43. K. Suresh and E. Parimalasundar, "A Modified Multi Level Inverter with Inverted SPWM Control," in IEEE Canadian Journal of Electrical and Computer Engineering, vol. 45, no. 2, pp. 99-104, Spring 2022.
44. K. Suresh and E. Parimalasundar, “A novel dual-leg DC-DC converter for wide range DC-AC conversion,” Automatika, vol. 63, no. 3, pp.572-579, 2022.
45. Parimalasundar Ezhilvannan and Suresh Krishnan, “An efficient asymmetric direct current (DC) source configured switched capacitor multi-level inverter,” Journal Européen des Systèmes Automatisés, vol. 53, no. 6, pp.853-859, 2020.
46. E. Parimalasundar, S. Jayakumar, R. Ravikumar and K. Suresh, “Investigation analysis of open circuit and short circuit fault on cascaded H-bridged multilevel inverter using artificial neural network approach,” International Journal of Electrical and Electronics Research (IJEER), vol. 10, no. 2, pp.320-326.
47. P. Srinivas Subbarao (2019), Work Life Balance a Challenge for employees in Indian IT & ITES Industry, Rupkatha Journal on interdisciplinary studies in humanities Vol. 11, No. 2, pp 1-12 .
48. Srinivas Subbarao Pasumarti (2020) , CSR and Socio-Economic Development – A Case study of selected PSUs in the state of Odisha, Journal of Critical Reviews, Vol.7, Issue 13, pp.1407-1415.
49. P. Srinivas Subbarao (2019), Influence of Demographic Factors on Recruitment and Selection of Employees in IT & ITES Industry, Journal of Advanced Research in Dynamical and Control Systems, Vol.11, No.6, Pp-52-61
50. P. Srinivas Subbarao (2015), Accomplishment of Gandhian Globalization is a myth or reality, Research Journal of Commerce & behavioral Science, Vol 4, No 10.
51. P. Srinivas Subbarao (2013), Raison d’être for setting up SME exchange Golden Research Thoughts special edition on “Innovation for Sustainable Growth of Business” Vo.1, Sep’2013, Pp.71-74
52. Al Shraah, A., Abu-Rumman, A., Alqhaiwi, L.A., & Alsha'ar, H. “The impact of sourcing strategies and logistics capabilities on organizational performance during the COVID-19 pandemic: Evidence from Jordanian pharmaceutical industries”. Uncertain Supply Chain Management. Vol. 10 No. 3, pp. 1077-1090. (2022). https://doi:10.5267/j.uscm.2022.2.004
53. Abu-Rumman, Ayman. "Effective Knowledge Sharing: A Guide to the Key Enablers and Inhibitors." In Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance. Edited by Tessier, Dana, 133-156. Hershey, PA: IGI Global, 2021.
54. Al Shraah, A., Irtaimeh, H.J., & Rumman, M.A. “The Strategic Human Resource Management Practices in Implying Total Quality Management (TQM): An Empirical Study on Jordanian Banking Sector. International Journal of Management. Vol. 4, No. 5. Pp.179-190. (2013).
55. Abu-Rumman, A. And Qawasmeh, R. "Assessing international students' satisfaction of a Jordanian university using the service quality model", Journal of Applied Research in Higher Education, (2021). https://doi.org/10.1108/JARHE-05-2021-0166
56. Khaled Lafi Al-Naif And Ata E. M. Al Shraah. “Working capital management and profitability: Evidence from Jordanian mining and extraction industry sector. IUG Journal of Economics and Business. Vol. 2, No. 1, pp 42-60. (2018)
57. K. Kankaew (eds), Global Air Transport Management and Reshaping Business Models for the New Era. Hershey: IGI Global, 2022.
58. B. Worasuwannarak, K. Kankaew, “The image value of Southeast Asia airlines: A study of attribute that led to image value of choosing Southeast Asia airlines by Mean-End theory approach,” In Global Air Transport Management and Reshaping Business Models for the New Era, K. Kankaew, Eds. Hershey: IGI Global, 2022, pp. 192-206.
59. K. Kankaew, K. Kangwol, A. Guzikova, S. Kungwol, B. Sitikarn, T. Suksutdhi, “Organizational Structure Enhancing Airlines Efficiency Amid the Pandemic: Low-Cost Carriers in Thailand as a Case,” GeoJournal of Tourism and Geosites, vol. 38, pp. 1189-1194, 2021.
60. K. Kankaew, E. Tansiri, R. Waramontri, N. Paethrangsi, K. Kungwol, B. Sitikarn, K. Charernit, “Coping with the changes that challenges: The business and education sector in Thailand 4.0,”International Journal of Asian Business and Information Management, vol. 13, 2021.
61. B. Sitikarn, K. Kankaew, Y. Sawangdee, “Coffee value symbiosis toward a mountain geographical community-based tourism in Thailand,” GeoJournal of Tourism and Geosites, vol. 42, pp. 657-663, 2022.
62. M. Alsoud and I. Othman, "Factors influencing online shopping intention in Jordan: an empirical study based on the Tam model", International Journal of Current Innovations in Advanced Research, vol. 1, no. 6, pp. 1-13, 2018.
63. R. Imtiaz, M. Alsoud, M. Ramish, A. Aziz and A. Anwar, "Impact of Face book on Advertising: Analysis of effectiveness of Face book on enhancing customer purchase intention", Elementary Education Online, vol. 20, no. 5, pp. 7130-7149, 2021.
64. M. Alsoud and I. Othman, "The Determinant of Online Shopping Intention in Jordan: A Review and Suggestions for Future Research", International Journal of Academic Research in Business and Social Sciences, vol. 8, no. 8, 2018.
65. T. Majali, M. Alsoud, A. Omar and I. Alhassan, "Social Media Use as Health Awareness Tool: A Study among Healthcare Practitioners", Multicultural Education, vol. 7, no. 2, pp. 1-5, 2021.
66. T. Majali, M. Alsoud, H. Yaseen, R. Almajali and S. Barkat, "The effect of digital review credibility on Jordanian online purchase intention", International Journal of Data and Network Science, vol. 6, no. 3, pp. 973-982, 2022.
67. Trawnih, S. Al-Masaeed, M. Alsoud and A. Alkufahy, "Understanding artificial intelligence experience: A customer perspective", International Journal of Data and Network Science, vol. 6, no. 4, pp. 1471-1484, 2022.
68. T. Majali, A. Omar, M. Alsoud and S. Barakat, "Use of Social Media in Promoting Breast Cancer Awareness among Malaysian Women of Generation Y: A Conceptual Framework", Multicultural Education, vol. 7, no. 2, pp. 58-67, 2021.
69. A. Al-Adwan, M. Alrousan, H. Yaseen, A. Alkufahy and M. Alsoud, "Boosting Online Purchase Intention in High-Uncertainty-Avoidance Societies: A Signaling Theory Approach", Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, no. 3, p. 136, 2022.
70. M. Alsoud, M., and A. Mustafa. “The Impact of Security Protection on Online Shopping Intention upon Jordanian Markets”, Merit Research Journal of Business and Management, vol.8, no.2, pp.023-027.
71. A. Al-Adwan, H. Yaseen, A. Alsoud, F. Abousweilem and W. Al-Rahmi, "Novel extension of the UTAUT model to understand continued usage intention of learning management systems: the role of learning tradition", Education and Information Technologies, vol. 27, no. 3, pp. 3567-3593, 2021.
72. A. Al Adwan, "Case study and grounded theory: a happy marriage? An exemplary application from healthcare informatics adoption research", International Journal of Electronic Healthcare, vol. 9, no. 4, p. 294, 2017.
73. A. Samed Al-Adwan, M. Nofal, H. Akram, N. Awni Albelbisi and M. Al-Okaily, "Towards a Sustainable Adoption of E-Learning Systems: The Role of Self-Directed Learning", Journal of Information Technology Education: Research, vol. 21, pp. 245-267, 2022.
74. A. Al-Adwan, M. Al-Debei and Y. Dwivedi, "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions", Technology in Society, vol. 71, p. 102083, 2022.
75. A. Al-Adwan, “Novel research framework for social commerce purchase intentions”, Journal of Theoretical & Applied Information Technology, vol. 96, no.14, pp.4390-4404, 2018.
76. A. Al-Adwan and G. Sammour, "What Makes Consumers Purchase Mobile Apps: Evidence from Jordan", Journal of Theoretical and Applied Electronic Commerce Research, vol. 16, no. 3, pp. 562-583, 2020.
77. N. Albelbisi, A. Al-Adwan and A. Habibi, "Impact Of Quality Antecedents On Satisfaction Toward MOOC", Turkish Online Journal of Distance Education, pp. 164-175, 2021.
78. R. Meet, D. Kala and A. Al-Adwan, "Exploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model", Education and Information Technologies, vol. 27, no. 7, pp. 10261-10283, 2022.
79. Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.
80. Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI), doi: 1109/JBHI.2021.3097237.
81. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07055-1.
82. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
83. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Application(IJCA), Vol. 179, Number 46, 2021, USA.
84. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, ,Vol 51 issue 04, 2021.
85. Yogesh Rajput, Shaikh Abdul Hannan, Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
86. Anupriya Kamble, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
87. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
88. Anupriya Kamble, Shaikh Abdul Hannan, Yogesh Rajput and Ramesh Manza, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus-2 using Pattern Recognition”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
89. Yogesh Rajput, Shaikh Abdul Hannan, Dnyaneshwari Patil, Ramesh Manza "Design New Wavelet Filter for Detection and Grading of Non-Proliferative Diabetic Retinopathy Lesions" The 3rd International Conference on recent Trends in Image Processing and pattern recognition, Springer conference, Jan 2020, Aurangabad, Maharashtra, India.
90. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
91. Mohammad Eid Alzaharani and Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”,Page 6-15. , Issue,1, Vol 5, KKU Journal of Basic and Applied Sciences, Mar 2019.
92. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA.
93. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, ISSN: 2241-4487, Greece.
94. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 8887), Pag 7-12, Volume 179 – No.46, June 2018.
95. Y. M. Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzahrani, R. R. Manza, Dnyaneshwari D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review” Vol 7, Issue 1, Jan 2019, E- ISSN: 2347-2693, India .
96. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
97. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3147428.
98. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
99. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
100. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808
101. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
102. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
103. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786.
104. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
105. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
106. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
107. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
108. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar, Deepak Garg,Ketan Kotecha, Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808
109. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766.
110. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022.
111. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210.
112. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
113. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
114. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050.
115. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
116. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
117. A. Al-Adwan, "Revealing the Influential Factors Driving Social Commerce Adoption", Interdisciplinary Journal of Information, Knowledge, and Management, vol. 14, pp. 295-324, 2019. Available: 10.28945/4438
118. P. Srinivas Subbarao (2013), Bank credit to infrastructure in India-Issues, Challenges and Strategies”, International Journal of Decision Making in Management, Vol.2, Issue 1, Pp 55-62
119. P. Srinivas Subbarao, P. Suseela Rani (2011), Application of information Technology in Agriculture-An Indian Experience” , Global Journal of Business Management Vol.5, No.1, pp-58-66
120. R. Senthilkumar, B. G. Geetha, "Asymmetric Key Blum-Goldwasser Cryptography for Cloud Services Communication Security," Journal of Internet Technology, vol. 21, no. 4 , pp. 929-939, Jul.2020.
121. Senthil kumar, R., Geetha, B.G. Signature Verification and Bloom Hashing Technique for Efficient Cloud Data Storage. Wireless Pers Commun 103, 3079–3097,2018.
122. P. Srinivas Subbarao (2007) ,Changing Paradigm in Indian Banking, Gyan Management” an International Biannual Refereed Journal of Management & Technology, Vol.1 No.2 pp 51-60.
123. P. Srinivas Subbarao, P. Suseela Rani (2012), Participative Management in Post Liberalization -A Case study of Indian Jute Industry, European Journal of Business and Management, Vol.4, No.8, pp 37-46
124. S. R. Vadyala, S. N. Betgeri, J. C. Matthews, and E. Matthews, “A review of physics-based machine learning in civil engineering.” Results in Engineering, vol. 13, p. 100316, 2022.
125. S. R. Vadyala, S. N. Betgeri, and N. P. Betgeri, “Physics-informed neural network method for solving one-dimensional advection equation using PyTorch.” Array, vol. 13, p. 100110, 2022.
126. S. R. Vadyala and E. A. Sherer, “Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports From Multicenter Colonoscopy (Preprint).” 2021.
127. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
128. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
129. J.A. Zarnan. On the numerical solution of Urysohn integral equation using Chebyshev polynomial. International Journal of Basic & Applied Sciences IJBAS-IJENS , 16 (06), 23-27, (2016).
130. J.A. Zarnan, Numerical solution of Volterra integral equations of Second Kind. Int. J. Comput. Sci. Mobile Comput., 5(7), 509-517, (2016).
131. J.A. Zarnan, A novel approach for the solution of a class of Urysohn integral equations using Bernstein polynomials. Int. J. Adv. Res , 5 (1), 2156-2162.(2017).
132. J. A. Zarnan, W. M. Hameed.. A comparison study between two approaches for solution of Urysohn integral equation by using statistical method, International Journal of Advances in Applied Mathematics and Mechanics, 6(1), 65-68. (2018)
133. P.Srinivas Subbarao (2015), Gandhian Principles of Management and its Contemporary Relevance, International Journals of Peace &Gandhian Studies titled Gandhian Vision, Vol.2, Issue-1, Pp-155-162.
134. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
135. R. Oak, “Poster: Adversarial examples for hate speech classifiers,” in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019.
136. R. Oak and M. Khare, “A novel architecture for continuous authentication using behavioural biometrics,” in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017, pp. 767–771.
137. R. Oak, “A literature survey on authentication using behavioural biometric techniques,” in Intelligent Computing and Information and Communication, Singapore: Springer Singapore, 2018, pp. 173–181.
138. M. Khare and R. Oak, “Real-time distributed denial-of-service (DDoS) attack detection using decision trees for server performance maintenance,” in Asset Analytics, Singapore: Springer Singapore, 2020, pp. 1–9.
139. W.M. Hameed and N.A. Ali,” Enhancing imputation techniques performance utilizing uncertainty aware predictors and adversarial learning,” Periodicals of Engineering and Natural Sciences (PEN) , vol. 10(3), pp.350-367, Jun 2022.
140. W. M. Hameed, “The Role of Crossover on Optimization of a Function Problem Using Genetic Algorithms,” International Journal of Computer Science and Mobile Computing, vol.5 (7), pp. 425-429, jul.2016.
141. W. M. Hameed, A. B. Kanbar, J. A. Zarnan,” Fast Algorithms To Find The Shortest Path Using Matrices,” International Journal Of Scientific & Technology Research, vol. 7 (8),pp.159-161, Aug. 2018.
142. W. M. Hameed, A. B. Kanbar,” A comparative study of crossover operators for genetic algorithms to solve travelling salesman problem,” International Journal of Research–Granthaalayah, vol.5 (2), pp.284-291, Feb. 2017.
143. W. M. Hameed, A. B. Kanbar, “Using GA for evolving weights in neural networks,” Applied Computer Science, vol. 15 (3), pp.21-33. Sep.2019.
144. J. A. Zarnan, W. M. Hameed, ”A comparison study between two approaches for solution of Urysohn integral equation by using statistical method,” Int. J. Adv. Appl. Math. and Mech., vol.5 (4) , pp.65-68, 2018.
145. J. A. Zarnan, W. M. Hameed , “On The Numerical Eigenvalues of a Spring-Mass System,” International Journal of Computer Science and Mobile Computing, vol. 5(8), pp.51-54, Aug.2016.
146. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “A novel Approach for Solution of a Love’s Integral Equation Using Chebyshev Polynomials,” Int. Adv. Appl. Math. And Mech., 7(3), 96-101, March 2020.
147. W.M. Hameed and N.A. Ali,” Comparison of Seventeen Missing Value Imputation Techniques,” Journal of Hunan University, vol. 49(7), pp.26-36, July 2022.
148. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
149. D. K. Sharma, B. Singh, R. Regin, R. Steffi and M. K. Chakravarthi, "Efficient Classification for Neural Machines Interpretations based on Mathematical models," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2015-2020.
150. F. Arslan, B. Singh, D. K. Sharma, R. Regin, R. Steffi and S. Suman Rajest, "Optimization Technique Approach to Resolve Food Sustainability Problems," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 25-30.
151. G. A. Ogunmola, B. Singh, D. K. Sharma, R. Regin, S. S. Rajest and N. Singh, "Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 13-18.
152. D. K. Sharma, B. Singh, M. Raja, R. Regin and S. S. Rajest, "An Efficient Python Approach for Simulation of Poisson Distribution," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2011-2014.
153. D. K. Sharma, B. Singh, E. Herman, R. Regine, S. S. Rajest and V. P. Mishra, "Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 19-24.
154. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Histogram Shifting based Quick Response Steganography method for Secure Communication” Wireless Communications and Mobile Computing. vol. 2022, 10 pages, 2022.
155. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Design of Automated Deep Learning-based Fusion Model for Copy-Move Image Forgery Detection” Computational Intelligence and Neuroscience. vol. 2022, 9 pages, 2022.
156. Hariprasath Manoharan, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, K Venkatachalam, Acclimatization Of Nano Robots In Medical Applications Using Artificial Intelligence System With Data Transfer Approach” Wireless Communications And Mobile Computing. vol. 2022, 9 pages, 2022.
157. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
158. Ashok Kumar L, Ramya Kuppusamy, Yuvaraja Teekaraman, Indragandhi V, Arun Radhakrishnan, Design and Implementation of Automatic Water Spraying System for Solar Photovoltaic Module” Mathematical Problems In Engineering. vol. 2022, 9 pages, 2022.
159. K Veena, K Meena, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Cybercrime Detection using C SVM and KNN Techniques” Wireless Communications and Mobile Computing. vol. 2022, 8 pages, 2022.
Published
2022-10-31
How to Cite
Selcia, E. J., & Dhivya, V. (2022). Classification of Sarcastic and Non-Sarcastic Tweets Using Machine Learning. Central Asian Journal of Theoretical and Applied Science, 3(10), 268-289. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/977
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