Experimental Investigation On Isolation And Purification Of Reactive Dyes And Water Pollutant Chemicals By Flocculation Method Using Fungal Consortium

  • A. Anas Shahad Department of Chemical Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
  • S. Yuvaraj Department of Chemical Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
  • D. Ashwin Department of Chemical Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
  • K. Suresh Department of Chemical Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
  • S. Ramesh
Keywords: white-rot fungi, laccase, lignin peroxidase, Cibacron red dye, water pollutant chemical, decolourization

Abstract

Lenzites elegans, a white-rot fungus that produces ligninolytic enzymes and decolourize manufactured dyes, was isolated from rotting wood. L. Elegans KSG32 produced laccase (363.7 IU/mL) and lignin peroxidase (5.16 IU/mL) for the first time, according to our knowledge. The capacity of Cibacron red dye to decolourize was tested in both solid and liquid environments. The use of L. elegans KSG32 in the decolourization of Cibacron red dye and the chemical pollution of water. The capacity of a microorganism to cause dye discolouration has gotten a lot of press. Microbial decolourization of dyes and water pollutant compounds is thought to be a cost-effective way to remove these pollutants from the environment. There has been a lot of research in recent years on the fungus to remove dye from dye effluent. It is proving to be a viable alternative to conventional treatment methods.

Downloads

Download data is not yet available.

References

1. R.Prasad, R. P. Singh, Pragati Agarwal, Swati Dubey, Evaluation of the efficacy of a fungal consortium for degradation of azo dyes and simulated textile dye effluent.
2. Zhuowai Cheng, Chao Li, Christian Kennes, Jiexu Ye, Improved biodegradation potential of chlorobenzene by a mixed fungal – bacterial consortium.
3. Chunmao li, Ning yu, Degradation of synthetic reactive azo dyes and treatment of textile wastewater by a fungal consortium reactor.
4. S. Sharma, A.Singh, N. Mathu, A.Verma, Development of fungal consortium for Bio decolorization of textile waste effluent A review.
5. Arunkumarmai, Sheik Abdulla, Shahul Hameed, Improved bacterial fungal consortium as an alternative approach for enhanced decolorization and degradation of Azo dyes; A review, DOI: 02-08-2018
6. Hassan Mouawad, Michael J. shadows Ky, Biodegradation of azo dyes by the bacterial or fungal consortium and identification of the biodegradation products.
7. Glen Cletus D Souza, Ryna Shireen sheriff, Varun ullanat, Fungal biodegradation of low-density polyethylene using a consortium of aspergillus species under controlled condition.
8. Mohamed T. Selim, Asem A. Mohamed, Mohamed S.EI-Gamal, Amr Fouda, Biological treatment of real textile effluent using Aspergillus flavors and fusarium oxyporium and their consortium along with the evaluation of their phytotoxicity.
9. Huiruli, shaqhua was cheng Du and chunking yang, Preparation performance and mechanism of microbial flocculants for wastewater treatment.
10. Karthikeyan V, Fungal bacterial consortium for the textile dyeing wastewater treatment, DOI: 2019.
11. Sanele Michelle Mnkandla and Patricks Voua Otomo, Effectiveness of microfiltration for removal of contaminants from water: a systematic review protocol.
12. Galit Akerman-Sanchez, Keilor Rojas-Jimenez, Fungi for the bioremediation of pharmaceutical-derived pollutants: A bioengineering approach to water treatment.
13. Nashwa A. H. Fetyan, A. Z. Abdel Aziz, I. M. Ismail and T. M. Salem, Biodegradation of Cibacron Redazo Dye and Industrial Textile Effluent by Pseudomonas aeruginosa Immobilized on Chitosan-Fe2O3 Composite.
14. A.K. Gupta, Y. K. Chauhan, and T Maity, “Experimental investigations and comparison of various MPPT techniques for photovoltaic system,” Sādhanā, Vol. 43, no. 8, pp.1-15, 2018.
15. A.K. Gupta, “Sun Irradiance Trappers for Solar PV Module to Operate on Maximum Power: An Experimental Study,” Turkish Journal of Computer and Mathematics Education, Vol. 12, no.5, pp.1112-1121, 2021.
16. A.K. Gupta, Y.K Chauhan, and T Maity and R Nanda, “Study of Solar PV Panel Under Partial Vacuum Conditions: A Step Towards Performance Improvement,” IETE Journal of Research, pp.1-8, 2020.
17. A.K. Gupta, Y.K Chauhan, and T Maity, “A new gamma scaling maximum power point tracking method for solar photovoltaic panel Feeding energy storage system,” IETE Journal of Research, vol.67, no.1, pp.1-21, 2018.
18. A. K. Gupta et al., “Effect of Various Incremental Conductance MPPT Methods on the Charging of Battery Load Feed by Solar Panel,” in IEEE Access, vol. 9, pp. 90977-90988, 2021.
19. J. Kubiczek and B. Hadasik, “Challenges in Reporting the COVID-19 Spread and its Presentation to the Society,” J. Data and Information Quality, vol.13, no.4, pp.1–7, Dec. 2021.
20. M. Bieleń and J. Kubiczek, “Response of the labor market to the needs and expectations of Generation Z,” e-mentor, vol. 86, no. 4, pp. 87–94, 2020.
21. G. S. Sajja, K. P. Rane, K. Phasinam, T. Kassanuk, E. Okoronkwo, and P. Prabhu, “Towards applicability of blockchain in agriculture sector,” Materials Today: Proceedings, 2021.
22. H. Pallathadka, M. Mustafa, D. T. Sanchez, G. Sekhar Sajja, S. Gour, and M. Naved, “Impact of machine learning on management, healthcare and agriculture,” Materials Today: Proceedings, 2021.
23. Guna Sekhar Sajja, Malik Mustafa, Dr. R. Ponnusamy, Shokhjakhon Abdufattokhov, Murugesan G., Dr. P. Prabhu, “Machine Learning Algorithms in Intrusion Detection and Classification”, Annals of RSCB, vol. 25, no. 6, pp. 12211–12219, Jun. 2021.
24. Arcinas, Myla & Sajja, Guna & Asif, Shazia & Gour, Sanjeev & Okoronkwo, Ethelbert & Naved, Mohd. Role Of Data Mining In Education For Improving Students Performance For Social Change. Turkish Journal of Physiotherapy and Rehabilitation. 32. 6519 (2021).
25. S. Sudhakar and S.Chenthur Pandian “Secure Packet Encryption and Key Exchange System in Mobile Ad hoc Nerwork”, Journal of Computer Science, Vol.8, No. 6, pp : 908-912, 2012.
26. S. Sudhakar and S. Chenthur Pandian, “Hybrid Cluster-based Geographical Routing Protocol to Mitigate Malicious Nodes in Mobile Ad Hoc Network”, International Journal of Ad Hoc and Ubiquitous Computing, 2016 Vol.21 No.4, pp.224-236.
27. N. Keerthana, Viji Vinod and S. Sudhakar, “A Novel Method for Multi-Dimensional Cluster to Identify the Malicious Users on Online Social Networks”, Journal of Engineering Science and Technology Vol. 15, No. 6, pp: 4107-4122, 2020.
28. A. U. Priyadarshni and S. Sudhakar, “Cluster Based Certificate Revocation by Cluster Head in Mobile Ad-Hoc Network”, International Journal of Applied Engineering Research, Vol. 10, No. 20, pp. 16014-16018, 2015.
29. S. Sudhakar and S. Chenthur Pandian, “Investigation of Attribute Aided Data Aggregation Over Dynamic Routing in Wireless Sensor,” Journal of Engineering Science and Technology Vol.10, No.11, pp:1465–1476, 2015.
30. S. Sudhakar and S. Chenthur Pandian, “Trustworthy Position Based Routing to Mitigate against the Malicious Attacks to Signifies Secured Data Packet using Geographic Routing Protocol in MANET”, WSEAS Transactions on Communications, Vol. 12, No. 11, pp:584- 603, 2013,
31. S. Sudhakar and S. Chenthur Pandian, “A Trust and Co-Operative Nodes with Affects of Malicious Attacks and Measure the Performance Degradation on Geographic Aided Routing in Mobile Ad Hoc Network”, Life Science Journal, Vol. 10, No. (4s), pp:158-163, 2013.
32. S. Sudhakar and S. Chenthur Pandian, “An Efficient Agent-Based Intrusion Detection System for Detecting Malicious Nodes in MANET Routing”, International Review on Computers and Software, Vol.7, No.6, pp.3037-304,2012.
33. S. Sudhakar and S. Chenthur Pandian, “Authorized Node Detection and Accuracy in Position-Based Information for MANET”, European Journal of Scientific Research, Vol.70, No.2, pp.253-265,2012.
34. K. Ganesh Kumar and S. Sudhakar, Improved Network Traffic by Attacking Denial of Service to Protect Resource Using Z-Test Based 4-Tier Geomark Traceback (Z4TGT), Wireless Personal Communications, Vol.114, No. 4, pp:3541–3575, 2020.
35. F. J. John Joseph, “IoT Based Weather Monitoring System for Effective Analytics,” Int. J. Eng. Adv. Technol., vol. 8, no. 4, pp. 311–315, 2019.
36. F. J. J. John Joseph, “Twitter Based Outcome Predictions of 2019 Indian General Elections Using Decision Tree,” in Proceedings of 2019 4th International Conference on Information Technology, 2019, no. October, pp. 50–53.
37. F. J. John Joseph, “Empirical Dominance of Features for Predictive Analytics of Particulate Matter Pollution in Thailand,” in 5th Thai-Nichi Institute of Technology Academic Conference TNIAC 2019, 2019, no. May, pp. 385–388.
38. V. Pattana-anake, P. Danphitsanuparn, and F. J. J. John Joseph, “BettaNet : A Deep Learning Architecture for Classification of Wild Siamese Betta Species,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1055, 2021.
39. F. J. John Joseph and S. Nonsiri, “Region-Specific Opinion Mining from Tweets in a Mixed Political Scenario,” in International Conference on Intelligent and Smart Computing in Data Analytics, 2021, pp. 189–195.
40. P. Manta et al., “Optical density optimization of malaria pan rapid diagnostic test strips for improved test zone band intensity,” Diagnostics (Basel), vol. 10, no. 11, p. 880, 2020.
41. P. Manta, S. Chandra Singh, A. Deep, and D. N. Kapoor, “Temperature‐regulated gold nanoparticle sensors for immune chromatographic rapid test kits with reproducible sensitivity: a study,” IET Nanobiotechnol., no. nbt2.12024, 2021.
42. P. Manta, R. Chauhan, H. Gandhi, S. Mahant, and D. N. Kapoor, “Formulation rationale for the development of SARS-COV-2 immunochromatography rapid test kits in India,” J. Appl. Pharm. Sci.
43. P. Manta, N. Wahi, A. Bharadwaj, G. Kour, and D. N. Kapoor, “A statistical quality control (SQC) methodology for gold nanoparticles based immune-chromatographic rapid test kits validation,” Nanosci. Nanotechnol.-Asia, vol. 11, no. 6, pp. 1–5, 2021.
44. P. Manta et al., “Analytical approach for the optimization of desiccant weight in rapid test kit packaging: Accelerated predictive stability (APS),” Systematic Reviews in Pharmacy, vol. 11, no. 8, pp. 102–113, 2020.
45. P. Manta, D. N. Kapoor, G. Kour, M. Kour, and A. K. Sharma, “critical quality attributes of rapid test kits - a practical overview,” Journal of Critical Reviews, vol. 7, no. 19, pp. 377–384, 2020.
46. Renuka J Bathi, Sameena Parveen, Krishna Burde, The Role of Gutka Chewing in Oral Submucous Fibrosis: A Case-Control Study, Quintessence International, Jun2009, Volume 40, Issue 6, pages e19-e25. 7p. 5 Charts.
47. Sameena Parveen, Neeraj Taneja, Renuka J Bathi, AC Deka, Evaluation Of Circulating Immune Complexes And Serum Immunoglobulins In Oral Cancer Patients - A Follow Up Study, Indian Journal of Dental Research, 2010, Volume 21, Issue 1, Pages 14-19.
48. Renuka J Bathi, Sameena Parveen, Sunil Mutalik, Reema Rao, Rabson-Mendenhall Syndrome: Two Case Reports and A Brief Review of The Literature, Odontology, 2010, Volume 98, Issue 1, Pages 89-96.
49. Renuka J Bathi, Neeraj Taneja, Sameena Parveen, Rheumatoid Arthritis of TMJ – A Diagnostic Dilemma? , Dental update, 2004, Volume 31, Issue 3, Pages 167-174.
50. Renuka J Bathi, Sameena Parveen, Neeraj Taneja, Oral Tuberculous Ulcer - A Report of Two Cases, Journal of Indian Academy of Oral Medicine and Radiology, 2003, Volume 15, Issue 2, Pages 62-65.
51. Sameena Parveen, Impact of Calorie Restriction and Intermittent Fasting on Periodontal Health, Periodontology 2000, August 2021, Volume 87, Issue 1, Pages 315-324.
52. T. Radhika K Mohideen, C Krithika, N Jeddy, S Parveen, A Meta-Analysis in Assessing Oxidative Stress Using Malondialdehyde in Oral Submucous Fibrosis, European Journal of Dentistry, 2021.
53. Parveen S Taneja N, R Bathi, Serum Glycoproteins as Prognosticator in Head and Neck Cancer Patients - A Follow Up Study, Oral Oncology Head and Neck Oncology, 2011, Volume 47.
54. N. Jayashri and K. Kalaiselvi,” Cloud Cryptography for Cloud Data Analytics in IOT”, in Machine Learning Approach For Cloud Data Analytics In IOT, Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, and Sirisha Potluri, Eds. Scrivener publishing:(wiley publications), p. 119-142, 2021.
55. C. Virmani, A. Pillai, and D. Juneja. “Study and analysis of Social network Aggregator.”, International Conference on Reliability Optimization and Information Technology (ICROIT), pp. 145-148. IEEE, 2014.
56. C. Virmani, A. Pillai, and D. Juneja., “Clustering in aggregated user profiles across multiple social networks.” International Journal of Electrical and Computer Engineering, vol 7. No 6, pp, 3692-3699, 2017.
57. C. Virmani, A. Pillai, and D. Juneja., “Extracting information from social network using nlp.” International Journal of Computational Intelligence Research, vol.13, No.4, pp: 621-630, 2017.
58. T. Choudhary, C. Virmani, and D. Juneja. “Convergence of Blockchain and IoT: An Edge Over Technologies.” Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications. Springer, Cham, pp: 299-316, 2020.
59. C. Virmani, D. Juneja , and A. Pillai, “Design of query processing system to retrieve information from social network using NLP.”, KSII Transactions on Internet and Information Systems, vol. 12, No.3, pp: 1168-1188, 2018.
60. C. Virmani, and A. Pillai. “Internet of Things and Cyber Physical Systems: An Insight.” Recent Advances in Intelligent Systems and Smart Applications. Springer, Cham, pp: 379-401, 2021.
61. K. Kalaiselvi and N. Jayashri, “A Pragmatic Knowledge Engineering approach for integrating Knowledge Management with Ubiquitous Computing”, Journal of Advanced Research in Dynamical & Control Systems, vol. 13, p. 440-444, 2017.
62. Parveen S. Bathi R, Taneja N, Dermoid Cyst in The Floor of The Mouth-A Case Report, Karnataka State Dental Journal, 2006, Volume 25, Issue 2, pages 52-54.
63. Afshari, L., Hayat, A., Ramachandran, K. K., Bartram, T. and Balakrishnan, BKPD. (2022), “Threat or opportunity: accelerated job demands during COVID-19 pandemic”,Personnel Review.
64. Valliappan Raju, Wang Juan, Sandeep Shrestha, Arrunkumar Kalathinathan, K K. Ramachandran. (2021). “Role of Big Data Analytics in Belt and Road Initiative (BRI): Multivariate Analysis with Gaussian Distribution of Data”. Modern Management based on Big Data II and Machine Learning and Intelligent Systems III, published by IOS Press, Volume 341, 2021, pp: 169 – 177.
65. Shukla, A., Narayanasamy, S. and Krishnakumar, Ramachandran. (2020), “Impact of board size on the accounting returns and the asset quality of Indian banks”, International Journal of Law and Management, Vol. 62 No. 4, pp. 297-313.
66. Kamaraj, M., Ramachandran, K.K. & Aravind, J. Biohydrogen production from waste materials: benefits and challenges. Int. J. Environ. Sci. Technol. 17, 559–576 (2020).
67. K. K. Ramachandran, “Impact of Motivational Factors on the Performance of Teacher in Higher Education Institutions”, IJAST, vol. 28, no. 1, pp. 86 - 94, Sep. 2019.
68. Ramachandran. K. K., Karthick. K. K., (2019). “Effect of Online Shopping in Local Market of India”, International Journal of Engineering and Advanced Technology (IJEAT). Volume-8, Issue-6S.
69. Ramachandran. K.K.,Karthick. K. K., (2019). “Digital Technology and Quality Management”, International Journal of Recent Technology and Engineering. Vol. 8, Issue-2S3.
70. Shubham Sharma and Ahmed J. Obaid 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1145 012054.
71. Kareem K. Ibrahim and Ahmed J. Obaid 2021 J. Phys.: Conf. Ser. 1879 032125.
72. Tenneti Sai Sasank et al 2021 J. Phys.: Conf. Ser. 1879 032124.
73. Ramachandran. K. K., Karthick. K. K., (2019). “Gantt Chart: An Important Tool of Management”. International Journal of Innovative Technology and Exploring Engineering, Vol. 8 Issue - 7C.
74. Aparna Vajpayee., Ramachandran. K. K., (2019). “Reconnoitring Artificial Intelligence in Knowledge Management”. International Journal of Innovative Technology and Exploring Engineering, Volume-8 Issue-7C.
75. Tasnia Hassan Nazifa., Ramachandran. K. K., (2019). “Information Sharing in Supply Chain Management: A Case Study between the Cooperative Partners in Manufacturing Industry”. Journal of System and Management Sciences. Vol. 9 (Feb 2019) No. 1, pp. 19-47.
76. Ramachandran. K. K., Padmanaban. D., Karthick. K. K., (2012). “A Study on the customer perception preference and satisfaction towards online- Travelling”. European Journal of Social Science. Vol 33 No.1.
77. KK. Ramachandran, Case 12 - Sports in the country of a billion: a study of the marketing possibilities and the resulting development of less popular sports in India, Editor(s): Simon Chadwick, Dave Arthur, International Cases in the Business of Sport, Butterworth-Heinemann, 2008, Pages 165-177.
78. F Rabbi, S Bature, M Omari, K Jermsittiparsert, “ The Mediating Effect of University Role in Determining the Relationship between Entrepreneurial Orientation, Entrepreneurial Perception and New Venture Creation: A Thai Case Study”, International Journal of Innovation, Creativity and Change, Vol. 6 (10), 278-298, 2019.
79. Rabbi, F., & Almutairi, S. S. “Corporate tax avoidance practices of multinationals and country responses to improve quality of compliance”. International Journal for Quality Research, 15(1), 21-44, 2021.
80. Alharbi, Yousef; Rabbi, Fazle; Alqahtani, Rabee, “ Understanding University Student’s Intention To Use Quality Cloud Storage Services”, International Journal for Quality Research, Vol. 14 Issue 1, p313-324, 2020.
81. F Rabbi, “ A review of the recent trends in the use of machine learning in business’, International Journal of Artificial Intelligence and Machine Learning Vol.1 (1), 1-6, 2019.
82. F Rabbi, “ A review of the use of machine learning techniques by social media enterprises”, Journal of Contemporary Scientific Research, Vol.2 (4), pp. 1-14, 2018.
83. M Azeroual, Y Boujoudar, K Bhagat, L El Iysaouy, A Aljarbouh, et al.,, “ Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study.” Electric Power Systems Research, Volume 209, August 2022, 108026.
84. Azeroual M, Boujoudar Y, Iysaouy LE, et al. Energy management and control system for microgrid based wind-PV-battery using multi-agent systems. Wind Engineering. February 2022. doi:10.1177/0309524X221075583
85. Fazle Rabbi , Nasir Abdul Jalil , S. Suman Rajest , R. Regin, “ An Approximation For Monitoring The Efficiency Of Cooperative Across Diverse Network Aspects”, Webology, Volume 17, No 2, 2020, Pages: 1234-1247
86. U Kumar, C Khatun, MS Islam, N Kao, F Rabbi, M Maniruzzaman, et al., “ Effect of Drum Pressure on Flow Accelerated Corrosion in Gas Fired Combined Cycle Power Plant: A Case Study and Literature Review”, Research Communication in Engineering Science & Technology, 2, 17-27, 2019.
87. F Rabbi, “ Recent Trends in the Use of Machine Learning Techniques in Business”, Asia Pacific Conference on Advances in Applied Science, Engineering and Technology (APCAASET)’, 2019.
88. Alawawdeh, N. Alshtaiwi, M. (2020). Foreign Languages E-Learning: Challenges, Obstacles And Behaviours During Covid-19 Pandemic In Jordan. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17 (6), 11536-11554.
89. Al-Awawdeh, N. (2021). Translation Between Creativity and Reproducing An Equivalent Original Text. Psychology and Education Journal, 58 (1), 2559-2564.
90. Al-Awawdeh,N. (2022). The Function Of Ideology In Translation: A Case Study Of Selected Aljazeera News Headlines Translated Into Arabic. Ijaz Arabi Journal of Arabic Learning, 5 (1), 48-58.
91. Kalsoom, T., Aziz, F. & Al-Awawdeh, N. (2021). Foreign Language Learning Anxiety: A Systematic Literature Review. TESOL International Journal: English Language Education Publishing, 16 (4.3), 239-252.
92. T. Gopalakrishnan, D Ruby, Al-Turjman, F., Gupta, D., Pustokhina, I., Pustokhin, D. and Shankar, K, “Deep Learning Enabled Data Offloading With Cyber Attack Detection Model in Mobile Edge Computing Systems”, IEEE Access, vol.8, pp.185938-185949,2020.
93. T, Gopalakrishnan. and P Sengottuvelan, “A hybrid PSO with Naïve Bayes classifier for disengagement detection in online learning”, Program, Vol 50 issue 2, pp.215-224,2016.
94. Joshi, G., Alenezi, F., Thirumoorthy, G., Dutta, A. and You, J., “Ensemble of Deep Learning-Based Multimodal Remote Sensing Image Classification Model on Unmanned Aerial Vehicle Networks” Mathematics, 9(22), p.2984., 2021.
95. Gopalakrishnan, T., Sengottuvelan, P., Bharathi, A. and Lokeshkumar, R.,” An Approach To Webpage Prediction Method Using Variable Order Markov Model In Recommendation Systems”, Journal of Internet Technology, 19(2), 415-424, 2018.
96. Gopalakrishnan, T , Sudhakaran, P., Ramya, K.C., Kumar, K.S., Al-Wesabi, F.N., Alohali, M.A. and Hilal, A.M., “An Automated Deep Learning Based Muscular Dystrophy Detection and Classification Model”, Computers, Materials &; Continua, 71(1), pp.305-320, 2022.
97. Gopalakrishnan, T., Sengottuvelan, P. and Bharathi, A.,”Dimensionality Reduction for Hybrid Medical Information Opinion Mining”, Intelligent Automation & Soft Computing, 23(2), pp.331-336, 2016.
98. Shankar, K., Mohanty, S., Yadav, K., Gopalakrishnan, T. and Elmisery, A.,”Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model”, Cognitive Neurodynamics 2021.
99. Gopalakrishnan, T., Sengottuvelan, P., Bharathi, A. and Lokeshkumar, R., “Heterogeneous Link Prediction Technique in Personalized E-Learning System using SVM”, Asian Journal of Research in Social Sciences and Humanities, 6(11), p.760, 2016.
100. T., G., Choudhary, R. and Prasad, S., “Prediction of Sales Value in Online shopping using Linear Regression”, 4th International Conference on Computing Communication and Automation (ICCCA), 2018.
101. Periyasami, K., Venugopal, J., Thirumoorthy, G., Ramasamy, R. and Balakrishnan, N. “BlockChain Based Combinatorial Grouping Auction with Reserve Price Mechanism in Cloud Computing”, Recent Advances in Computer Science and Communications, 14(5), pp.1497-1505, 2021.
102. Gopalakrishnan, T.., Sengottvelan, P., “Discovering user profiles for web personalization using EM with Bayesian Classification”, Aust J Basic Appl Sci, 8(3), pp.53-60, 2014.
103. Gopalakrishnan, T, Gowthami, V S & Kavya, M, ”Advanced Preprocessing Techniques used in Web Mining - A Study”, International Journal of Computer Applications ,ISSN 0975 – 8887, vol. 101, no. 13, 2014.
104. Gopalakrishnan T, Ruby D, Gayathri A, Saai Mahesh & Ritesh Choudhary, “An Approach to Deep Learning for Cryptocurrency Price Prediction”, International Journal of Advanced Trends in Computer Science and Engineering, Vol 9, Issue No.4, ISSN 2278-3091, 5095-5102, 2021.
105. Sarkar, S., Menon, A.S., Gopalakrishnan, T., Kakelli, A.K.,”Convolutional Neural Network (CNN-SA) based Selective Amplification Model to Enhance Image Quality for Efficient Fire Detection”, I.J. Image, Graphics and Signal Processing, 2021, 5, 51-59, 2021.
106. Gopalakrishnan, T, Sengottuvelan, P & Bharathi, A.,”Two Level Clustering of Web Log Files to Enhance the Quality of User Data”, International Journal of Advanced Engineering Technology, E-ISSN: 0976-3945, vol. VII, no. II, 2016.
107. Maninder Singh, Hardeep Singh Saini and Dinesh Arora, “Bit error rate minimization in OFDM-MIMO system”,2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), held on 5-7 March 2015,Coimbatore, Tamil Nadhu-India. IEEE.
108. Gagandeep, Dinesh Arora and Hardeep Singh Saini, “Design and Implementation of an Automatic Irrigation feedback control system based on monitoring of soil moisture”, IEEE International Conference on Inventive Computing and Informatics (ICICI 2017), 23-24 Nov. 2017, Coimbatore, India.
109. Hardeep Singh Saini and Dinesh Arora, “A Split Network based Routing Approach in Wireless Sensor Network to Enhance Network Stability”, International Journal of Sensors, Wireless Communications and Control, Vol.9, No.4, pp.480-87, 2019. Bentham Science Publisher.
110. Ritu, Hardeep Singh Saini, Dinesh Arora and Rajesh Kumar, “Implementation of Handoff System to Improve the Performance of a Network by Using Type-2 Fuzzy Inference System”, 4th International conference on recent advancements in computer communication and computational sciences, Aryabhatta College of Engineering & Research Center, Ajmer, India, 16-17 Aug. 2019. Published in the Springer Book Series on "Advances in Intelligent Systems and Computing", Springer.
111. M. Raja and G. G. Lakshmi Priya, “Using virtual reality and augmented reality with ICT tools for enhancing quality in the changing academic environment in COVID-19 pandemic: An empirical study,” in Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19, Cham: Springer International Publishing, 2022, pp. 467–482.
112. M. Raja and G. G. L. Priya, “An analysis of Virtual Reality usage through a descriptive research analysis on school students’ experiences: A study from India,” Int. j. early child. spec. educ., vol. 13, no. 2, pp. 990–1005, 2021.
113. M. Raja, K. Srinivasan, and S. Syed-Abdul, “Preoperative virtual reality based intelligent approach for minimizing patient anxiety levels,” in 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2019.
114. M. Raja and G. G. Lakshmi Priya, “Sentiment and emotions extraction on teaching–learning from home (TLFH) and impact of online academic activities in India,” Mater. Today, 2021.
115. M. Raja and G. G. L. Priya, “Conceptual origins, technological advancements, and impacts of using Virtual Reality technology in education,” Webology, vol. 18, no. 2, pp. 116–134, 2021.
116. E. Murugan and P. Gopinath, Synthesis and characterization of novel bead-shaped insoluble polymer-supported tri-site phase transfer catalyst and its efficiency in N-alkylation of pyrrole, Applied Catalysis A: General, vol. 319, p. 72, 2007.
117. E. Murugan, D. P. Geetha Rani, K. Srinivasan, and J. Muthumary, “New surface hydroxylated and internally quaternised poly (propylene imine)dendrimers as efficient biocompatible drug carriers of norfloxacin,” Expert Opinion on Drug Delivery, vol. 10 no.10, p. 1319, 2013.
118. E. Murugan, P. Gopinath, V. Shanmugayya, and N. Mathivanan, “Antibacterial activity of novel insoluble bead‐shaped polymer‐supportedmultiquaternary ammonium salts,” Journal of applied polymer science, vol. 117, no.6, p. 3673, 2010.
119. E. Murugan, and A. Siva, “Synthesis of asymmetric n-arylaziridine derivatives using a new chiral phase-transfer catalyst,” Synthesis, vol. 2005 no.12, p. 2022, 2005.
120. T. Balakrishnan and E. Murugan, “Preparation and spectroscopic characterization of surface‐enriched (with active sites) polymer‐supported phase‐transfer catalysts and their efficiency in organic addition reactions: A kinetic study,” Journal of Polymer Science Part A: Polymer Chemistry, vol. 41, no.2, p. 347, 2003.
121. E. Murugan, and A. Siva, “Preparation of a novel soluble multi-site phase transfer catalyst and the kineticstudy for the C-alkylation of α-pinene,” Journal of Molecular Catalysis A: Chemical, vol. 235, no. 1-2, p. 220, 2005.
122. S. Santhoshkumar and E. Murugan, “Rationally designed SERS AgNPs/GO/g-CN nanohybrids to detect methyleneblue and Hg2+ ions in aqueous solution,” Applied Surface Science, vol. 553, p. 149544, 2021.
123. E. Murugan, S. Santhoshkumar, S. Govindaraju and M. Palanichamy, “Silver nanoparticles decorated g-C3N4: An efficient SERS substrate formonitoring catalytic reduction and selective Hg2+ ions detection,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 246, 119036, 2021.
124. E. Murugan, S. Santhosh Kumar, K. M. Reshna and S. Govindaraju, “Highly sensitive, stable g-CN decorated with AgNPs for SERS sensing of toluidine blue and catalytic reduction of crystal violet,” Journal of materials science, vol. 54, no.7, p. 5294, 2019.
125. E. Murugan, J. N. Jebaranjitham and A. Usha, “Synthesis of polymer-supported dendritic palladium nanoparticle catalysts forSuzuki coupling reaction,” Applied Nanoscience, vol. 2, no.3, p. 211, 2012.
126. E. Murugan, S. Arumugam and P. Panneerselvam, “New nanohybrids from poly (propylene imine) dendrimer stabilized silvernanoparticles on multiwalled carbon nanotubes for effective catalytic andantimicrobial applications,” International Journal of Polymeric Materials and Polymeric Biomaterials, vol. 65 no. 3, p. 111, 2016.
127. E. Murugan and I. Pakrudheen, “Efficient amphiphilic poly (propylene imine) dendrimer encapsulated rutheniumnanoparticles for sensing and catalysis applications,” Science of Advanced Materials, vol. 7, no. 5, p. 891, 2015.
128. E. Murugan, and G. Tamizharasu, “Synthesis and characterization of new soluble multisite phase transfercatalysts and their catalysis in free radical polymerization of methylmethacrylate aided by ultrasound-A kinetic study,” Journal of applied polymer science, vol. 125, no. 1, p. 263, 2012.
129. E. Murugan, R. Rangasamy, and I. Pakrudheen, “Efficient amphiphilic poly (propyleneimine) dendrimer stabilized goldnanoparticle catalysts for aqueous phase reduction of nitrobenzene,” Science of Advanced Materials, vol. 4, no. 11, p. 1103, 2012.
130. A. Ramesh, P. Tamizhdurai, S. Gopinath, K. Sureshkumar, E. Murugan and K Shanthi, “Facile synthesis of core-shell nanocomposites Au catalysts towards abatement of environmental pollutant Rhodamine B,” Heliyon, vol. 5, no. 1, p. e01005, 2019.
131. E. Murugan, J. N. Jebaranjitham, K. J. Raman, A. Mandal, D. Geethalakshmi, M. Dharmendira Kumar, and A. Saravanakumar, “Insoluble dendrimer-grafted poly (vinylimidazole) microbeads stabilized withmono/bimetallic nanoparticle catalysts for effective degradation of malachitegreen,” New Journal of Chemistry, vol. 41, no.19, p. 10860, 2017.
132. E. Murugan and I. Pakrudheen, New amphiphilic poly (quaternary ammonium) dendrimer catalyst for effectivereduction of citronellal, Applied Catalysis A: General, vol. 439, p. 142, 2012.
133. S. Hameed, The “Effect Of Focus Error And Spherical Aberration On Sharp Edge Image Intensity”. Tikrit Journal of Pure Science, vol. 22, no. 2, p. 104,108, 2018.
134. S. Hameed, and A. Mohammed, “Spectral Band Optical Analysis for Shape and Material of Terrestrial Imaging by Using Remote Sensing Technique”, European Journal of Engineering and Technology Research, vol. 3, no. 5, p. 52, 54, 2018.
135. R. Ali, S. Hameed, and Q. Ali, “Evaluation of Ionizing Radiation Protection among Radiation Workers in X-ray departments in Erbil City”. Journal of the Faculty of Medicine Baghdad, vol. 58, no.3, p. 208-212. 2016.
136. Mohammed, and S. Hameed, “Evaluate the Effective of Modulation Function on Spot Size For Multifunction modulator”. Diyala Journal For Pure Science, vol. 7, no.4, 2011.
137. S. Hameed, and S. Sharif , “Noise Pollution in Some Hospitals of Erbil-Iraq: Estimation and Analysis”, International Journal of Mechanical Engineering, Vol. 7, p 2862 – 2868, 2022.
138. B. Arunadevi, D. Saravanan, K. Villallba-Condori, K. Srivastava, M. K. Chakravarthi and R. Rajan, "Orthographic Comparison Revealed by Ambient Sentiment Classification," 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 834-838, 2021.
139. K. S. Rao, D. J. Pradeep, Y. V. Pavan Kumar, M. K. Chakravarthi and C. P. Reddy, "Quantitative Analysis on Open-Loop PI Tuning Methods for Liquid Level Control," 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-5, 2021.
140. R. Rajeswari, H. Raja, K. Srivastava, G. S. Sajja, M. K. Chakravarthi and R. Rajan, "Technologies for Systematic Procedure Generation of Enhanced Wound Care Devices Through Discriminative Intelligence," 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 839-844, 2021.
141. Karthik, Mamidala Vijay, Chakravarthi, M Kalyan, Yapanto, Lis M, Selvapandian, D, Harish, R, Subramani, Karthick, “Optical Analysis of the UPQC using PI Controller in Power flow System” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS),1 ,pp. 2006-2010, 2021.
142. Sathyaseelan, Mohit P, Chakravarthi, M Kalyan, Sathyaseelan, Amit P, Sudipta, Soumya, “IoT based COVID De-Escalation System using Bluetooth Low Level Energy”,IEEE, 6th International Conference on Inventive Computation Technologies (ICICT), pp.174-177, 2021.
143. Sekhar, Chereddy, Kranthi, K, Chakravarthi, M Kalyan, “Traffic signal breach vehicle stop system using IOT”, IEEE International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), pp.296-300, 2017.
144. Prasad, CH Ram, Chakravarthi, M Kalyan,” Failure analysis and prediction for metal jobs using fuzzy computation”, IEEE, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), pp.1159-1163, 2017.
145. Vaishna S Kumar, M.Kalyan Chakravarthi,“MSP430 Data Logger: An Implementation for Stress Measurement in Concrete Structures”, IEEE, International Conference on Intelligent Systems and Control, January 7-8, 2016
146. Anu Rose Jolly, M.Kalyan Chakravarthi, “A Standalone Data Logger For Fibre Optic Vibration Measurement System Using Beagle bone”,IEEE, International Conference on Intelligent Systems and Control, January 7-8, 2016.
147. M. Kalyan Chakravarthi, Ketan Gupta, Jyoti Malik and Nithya Venkatesan, “Linearized Multimodel PI Controller for Real-Time Delay Dominant Second Order Nonlinear Systems”, IEEE, International Conference on Control, Instrumentation, Communication & Computational Technologies, December 18-19,2015
148. M.Kalyan Chakravarthi, Bharath.B, R.Venkata Sreehari , “Implementation Of An Automated Drug Delivery System Using Linear Actuator”, IEEE, International Conference on Soft Computing Techniques & Implementations, October 8-10,2015.
149. D.Ganesh, M.Kalyan Chakravarthi,” Remote Web Based Monitoring and Controlling Of a Nonlinear Process Using Micro Controller”, IEEE, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT-2014) , pp:826-829, 2014.
150. R.Venkata Sreehari, M.Kalyan Chakravarthi,” Industrial Pollution Monitoring GUI System using Internet, LabVIEW AND GSM”, IEEE, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT-2014), pp:846-850, 2014.
151. Deepanshu Soni , Mohit Gagrani ,Ashwin Rathore ,M. Kalyan Chakravarthi,” Study of Different Controller’s Performance for a Real Time Non-Linear System” , International Conference on Advances In Engineering And Technology - ICAET-2014, pp.171-175, 2014.
152. M. Kalyan Chakravarthi ,B.Bharath.“Dip Coated Thick Films Of Zno And Its Ethanol Sensing Properties”, IEEE, International Symposium on Mechatronics and its Applications (ISMA12), Sharjah, UAE,Pages:1-5, 2012.
153. M. Kalyan Chakravarthi, Pramod R. Watekar, “Optimization of Silica Glass Micro Fiber for Zero Dispersion Wavelength”, IJCA, ISBN: 978-93-80866-72-9, National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012) organized by S. B. Jain Institute of technology, Nagpur.
154. M. Kalyan Chakravarthi ,K.Charan thej, R.Arun Praveen, M.Anjith and Pramod R. Watekar, ” Analysis of Silica Glass Coreless Optical Fiber”, National Conference on emerging trends in communications &Signal Processing Techniques,SANKETA-2012,Journal of innovation in electronics and communication,ISSN:2249-9946,Volume 2,Issue 2,pages:135-137
155. Buragadda, S., Rani, K.S., Vasantha, S.V., Chakravarthi, M.K.,“HCUGAN: Hybrid Cyclic UNET GAN for Generating Augmented Synthetic Images of Chest X-Ray Images for Multi Classification of Lung Diseases”, International Journal of Engineering Trends and Technology 70(2), pp. 229-238, 2022.
156. M.Kalyan Chakravarthi, Nithya Venkatesan,”Experimental Transfer Function Based Multi-Loop Adaptive Shinskey PI Control For High Dimensional MIMO Systems”, Journal of Engineering Science and Technology, 16(5), pp.4006-4015, 2021.
157. M.Kalyan Chakravarthi, Nithya Venkatesan, “Adaptive type-2 fuzzy controller for nonlinear delay dominant MIMO systems: an experimental paradigm in LabVIEW”, International Journal of Advanced Intelligence Paradigms, 10(4), pp.354 – 373, 2018.
158. A, Vishwanathraddi, Chakravarthi M., Kalyan ,”Arduino-based wireless mobot”, Asian Journal of Pharmaceutical and Clinical Research, 10(13), pp.61–65, 2017.
159. M.Kalyan Chakravarthi, Nithya Venkatesan, “Implementation of a Multi user Secured Remote Data Logger for Real Time Hybrid System”, Indian Journal of Science and Technology, 9(35), 2016.
160. Jolly, Anu Rose, Chakravarthi, M Kalyan, Jindal, Naveen Kumar, Birla sekaran, Dinesh,” Transparent Proxy Cache server using Raspberry Pi”, Indian Journal of Science and Technology, 9(44), 2016.
161. M.Kalyan Chakravarthi, Nithya Venkatesan, 2015,” Design and Implementation of LabVIEW Based Optimally Tuned PI Controller for A Real Time Non Linear Process”, Asian Journal of Scientific Research, Vol.8, Number 1, pp.95-106.
162. Lohith Ujjaniya, M.Kalyan Chakravarthi, “Raspberry - Pi based cost effective vehicle collision avoidance system using image processing”, ARPN Journal of Engineering and Applied Sciences, 10(7), April 2015.pp.3001-3005.
163. Uday Kiran Ruttala, M. S. Balamurugan and M. Kalyan Chakravarthi,” NFC based Smart Campus Payment System”, Indian Journal of Science and Technology , Vol 8(19), pp.1-5, 2015.
164. M.Kalyan Chakravarthi, Pannem.K.Vinay, Nithya Venkatesan, ”Design and Simulation of Internal Model Controller for a Real Time Nonlinear Process”, Indian Journal Of science and Technology, 2015, 8(19): pp.1-6.
165. M.Kalyan Chakravarthi, Nithya Venkatesan, “Experimental Validation of a Multi Model PI Controller for a Non Linear Hybrid System in LabVIEW”, Telkomnika, 13(2):pp.547-555.
166. M. Kalyan Chakravarthi and Nithya Venkatesan, 2015. “Design and Implementation of Adaptive Model Based Gain Scheduled Controller for a Real Time Non Linear System in LabVIEW”. Research Journal of Applied Sciences, Engineering and Technology, 10(2): 188-196.
167. Vijay Kumar Patale, M.Kalyan Chakravarthi, 2014, ”RF Harvesting Circuitry for Ambient Backscatter Technology “, International Journal of Applied Engineering Research, ISSN:0973-4562,Volume 9, Number 19, pp. 5769-5778.
168. Lohit Ujjainiya, M.Kalyan Chakravarthi and Ankit Soni. “Development and Implementation of Gesture Controlled Automatic Audio System”, International Journal of Computer Applications, 106(13), pp.25-28, 2014.
169. M.Kalyan Chakravarthi, Nithya Venkatesan “LabVIEW Based Tuning Of PI Controllers For A Real Time Non Linear Process”, Journal of Theoretical and Applied Information Technology, ISSN: 1992-8645, Volume 68, Number 3,October 2014, pp579-585.
170. M. Kalyan Chakravarthi. “LabVIEW: An Interactive Teaching Tool for Few Concepts of Vedic Mathematics ", Vol. 3 - Issue 9 (September - 2014), International Journal of Engineering Research & Technology, ISSN: 2278-0181,2014, pp.1063-1066.
171. M.Kalyan Chakravarthi, Pannem.K.Vinay, Nithya Venkatesan. ” Real Time Implementation of Gain Scheduled Controller Design for Higher Order Nonlinear System Using LabVIEW” ,International Journal of Engineering and Technology, ISSN: 0975–4024, Volume 6 No 5 Oct-Nov 2014.pp2031-2038
172. Aakanksha Singhal and D.K. Sharma, “Seven Divergence Measures by CDF of fitting in Exponential and Normal Distributions of COVID-19 Data”, Turkish Journal of Physiotherapy and Rehabilitation, Vol.32(3), pp. 1212 - 1222, 2021.
173. D.K. Sharma and Haldhar Sharma, “A Study of Trend Growth Rate of Confirmed cases, Death cases and Recovery cases in view of Covid-19 of Top Five States of India”, Solid State Technology, Vol.64(2), pp. 4526-4541, 2021.
174. D.K. Sharma, “Information Measure Computation and its Impact in MI COCO Dataset”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 2011-2014, 2021.
175. Aakanksha Singhal and D.K. Sharma, “Keyword extraction using Renyi entropy: a statistical and domain independent method”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 1970-1975, 2021.
176. Aakanksha Singhal and D.K. Sharma, “Generalization of F-Divergence Measures for Probability Distributions with Associated Utilities”, Solid State Technology, Vol.64(2), pp. 5525-5531, 2021.
177. Aakanksha Singhal and D.K. Sharma, “A Study of before and after Lockdown Situation of 10 Countries through Visualization of Data along With Entropy Analysis of Top Three Countries”, International Journal of Future Generation Communication and Networking, Vol.14(1), pp. 496-525, 2021.
178. Aakanksha Singhal and D.K. Sharma, “Generalized ‘Useful’ Rényi & Tsallis Information Measures, Some Discussions with Application to Rainfall Data", International Journal of Grid and Distributed Computing, Vol. 13(2), pp. 681-688, 2020.
179. Reetu Kumari and D. K. Sharma, “Generalized `Useful non-symmetric divergence measures and Inequalities", Journal of Mathematical Inequalities, Vol. 13(2), pp. 451-466, 2019.
180. D.S. Hooda and D.K. Sharma, “On Characterization of Joint and Conditional Exponential Survival Entropies", International Journal of Statistics and Reliability Engineering, Vol. 6(1), pp. 29-36, 2019.
181. Reetu Kumari and D. K. Sharma, “Generalized `Useful' AG and `Useful' JS-Divergence Measures and their Bounds", International Journal of Engineering, Science and Mathematics, Vol. 7 (1), pp. 441-450, 2018.
182. D.S. Hooda, Reetu Kumari and D. K. Sharma, “Intuitionistic Fuzzy Soft Set Theory and Its Application in Medical Diagnosis”, International Journal of Statistics in Medical Research, Vol. 7, pp. 70-76, 2018.
183. D.K. Sharma and Sonali Saxena, “Generalized Coding Theorem with Different Source Coding Schemes”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5(6), pp. 253 – 257, 2017.
184. Deepanshu Soni , Mohit Gagrani ,Ashwin Rathore ,M. Kalyan Chakravarthi,” Study of Different Controller’s Performance for a Real Time Non-Linear System” International Journal of Advancements in Electronics and Electrical Engineering, ISSN 2319-7498, Volume 3 : Issue 3,September,2014.pp.10-14.
185. M.Kalyan Chakravarthi, Pannem.K.Vinay. ” LabVIEW based Comparison of various Edge Detection Techniques for Bug Classification”, International Journal of Applied Engineering Research, ISSN:0973-4562,Volume 9, Number 19 (2014), pp. 6381-6390.
186. M. Kalyan Chakravarthi ,Rohit Kumar Oli, and Pramod R. Watekar,,“Design of a Furnace for Soft Glass Fiber Drawing”, National Conference on emerging trends in communications &Signal Processing echniques,SANKETA-2012, Journal of innovation in electronics and communication,ISSN:2249-9946,Volume 2,Issue 2,pp:178-179.
187. M. K. Chakravarthi, Y. V. Pavan Kumar, D. J. Pradeep, C. P. Reddy, A. Vaishnavi and N. S. Greeshma Reddy, "Arduino Based PI Control for a Nonlinear TITO System Using LabVIEW," 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-6, 2021.
188. Ibrahim, K., Obaid, A. (2021). Fraud usage detection in internet users based on log data. International Journal of Nonlinear Analysis and Applications, 12(2), 2179-2188. doi: 10.22075/ijnaa.2021.5367
189. Sharma, G., Kumar, J., Sharma, S., Singh, G., Singh, J., Sharma, A., . . . Obaid, A. J. (2021). Performance of diesel engine having waste heat recovery system fixed on stainless steel made exhaust gas pipe. Materials Today: Proceedings.
190. Abdulreda, A., Obaid, A. (2022). A landscape view of deepfake techniques and detection methods. International Journal of Nonlinear Analysis and Applications, 13(1), 745-755. doi: 10.22075/ijnaa.2022.5580
191. Abdulbaqi, A., Younis, M., Younus, Y., Obaid, A. (2022). A hybrid technique for EEG signals evaluation and classification as a step towards to neurological and cerebral disorders diagnosis. International Journal of Nonlinear Analysis and Applications, 13(1), 773-781. doi: 10.22075/ijnaa.2022.5590
192. Pandey, D., Wairya, S., Al Mahdawi, R., Najim, S., Khalaf, H., Al Barzinji, S., Obaid, A. (2021). Secret data transmission using advanced steganography and image compression. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1243-1257. doi: 10.22075/ijnaa.2021.5635
193. Adhikari, S., Hutaihit, M., Chakraborty, M., Mahmood, S., Durakovic, B., Pal, S., Akila, D., Obaid, A. (2021). Analysis of average waiting time and server utilization factor using queueing theory in cloud computing environment. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1259-1267. doi: 10.22075/ijnaa.2021.5636
194. Azmi Shawkat Abdulbaqi, Ahmed J. Obaid & Maysaa Hameed Abdulameer (2021) Smartphone-based ECG signals encryption for transmission and analyzing via IoMTs, Journal of Discrete Mathematical Sciences and Cryptography, DOI: 10.1080/09720529.2021.1958996
195. Obaid, A. J., Ibrahim, K. K., Abdulbaqi, A. S., & Nejrs, S. M. (2021). An adaptive approach for internet phishing detection based on log data. Periodicals of Engineering and Natural Sciences, 622
196. Shahzad, F., Abid, F., Obaid, A., Kumar Rai, B., Ashraf, M., Abdulbaqi, A. (2021). Forward stepwise logistic regression approach for determinants of hepatitis B & C among Hiv/Aids patients. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1367-1396. doi: 10.22075/ijnaa.2022.5717
197. Agarwal, P., Idrees, S. M., & Obaid, A. J. (2021). Blockchain and IoT Technology in Transformation of Education Sector. International Journal of Online and Biomedical Engineering (iJOE), 17(12), pp. 4–18. https://doi.org/10.3991/ijoe.v17i12.25015
198. Akbar, A., Agarwal, P., Obaid, A. (2022). Recommendation engines-neural embedding to graph-based: Techniques and evaluations. International Journal of Nonlinear Analysis and Applications, 13(1), 2411-2423. doi: 10.22075/ijnaa.2022.5941
199. Shahab S., Agarwal P., Mufti T., Obaid A.J. (2022) SIoT (Social Internet of Things): A Review. In: Fong S., Dey N., Joshi A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 314. Springer, Singapore. https://doi.org/10.1007/978-981-16-5655-2_28
Published
2022-05-16
How to Cite
A. Anas Shahad, S. Yuvaraj, D. Ashwin, K. Suresh, & S. Ramesh. (2022). Experimental Investigation On Isolation And Purification Of Reactive Dyes And Water Pollutant Chemicals By Flocculation Method Using Fungal Consortium. Central Asian Journal of Theoretical and Applied Science, 3(5), 284-304. https://doi.org/10.17605/OSF.IO/CGZ2J