Automated Blood Cancer Diagnosis with Microscopy and Cell Counting of ALL, AML, CLL, and CML Cells
Keywords:
Automated Blood Cancer Diagnosis, Microscopy, Cell, ALL, AML, CLL, CML Cells
Abstract
White blood cell (WBC) cancer, often known as leukaemia, can cause irreparable harm to the body's blood and bone marrow. If not caught early enough, it can be fatal. Manual diagnosis of malignant neoplastic disease cells is typically performed using complete blood count (CBC) or morphological image analysis. These approaches are labor-intensive and can result in less-than-perfect mounting. In this research, we propose an automatic method for the analysis of microscopic blood images for the diagnosis of leukemias such as acute lymphocytic leukaemia (ALL), acute myeloid leukaemia (AML), chronic lymphocytic leukaemia (CLL), and chronic myeloid leukaemia (CML). White blood cells, red blood cells, and platelets are initially separated from the image using this method. Lymphocytes are then isolated from the rest of the white blood cells. Next, an SVM classifier is fed information about the lymphocytes' shape and colour to determine if they are conventional or blast cells. After that, the white blood cell count is taken to ensure a proper diagnosis. This automated approach for the detection of malignant neoplasms was superior to traditional methods of diagnosis in terms of convenience, speed, and accuracy.
Downloads
Download data is not yet available.
References
1. D. T. Karthikeyan and N. Poornima, Microscopic Image Segmentation Using Fuzzy C Means For Leukemia Diagnosis. 2017.
2. Y. Li, R. Zhu, L. Mi, Y. Cao, and D. Yao, “Segmentation of white blood cell from Acute Lymphoblastic Leukemia images using the dual-threshold method,” Comput. Math. Methods Med., vol. 2016, p. 9514707, 2016.
3. M. Moradiamin, N. Samadzadehaghdam, S. Kermani, and A. Talebi, “Enhanced Recognition of Acute Lymphoblastic Leukemia Cells in microscopic Images based on Feature Reduction using PrincipleComponent Analysis,” Frontiers in Biomedical Technologies, vol. 2, no. 3, pp. 128–136.
4. L. Putzu and C. D. Ruberto, “White Blood Cells Identification and Counting from Microscopic Blood Image”,” Health, Biomedical and Pharmaceutical Engineering, vol. 7, no. 1, pp. 15–22, 2013.
5. Mohapatra, S., Patra, D. & Satpathy, S. An ensemble classifier system for early diagnosis of acute lymphoblastic leukaemia in blood microscopic images. Neural Comput & Applic 24, 1887–1904 (2014).
6. S. Alagu, A. Priyanka, Kavitha, and B. Bagan, “Automatic detection of acute lymphoblastic leukaemia using UNET based segmentation and statistical analysis of fused deep features,” Appl. Artif. Intell., vol. 35, no. 15, pp. 1952–1969, 2021.
7. M., M., & Mesbah, S. (2016). Effective e-government and citizens adoption in Egypt. International Journal of Computer Applications, 133(7), 7–13.
8. Ead, W. M., & Abbassy, M. M. (2021). IOT based on plant diseases detection and classification. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
9. Ead, W., & Abbassy, M. (2018). Intelligent Systems of Machine Learning Approaches for developing E-services portals. EAI Endorsed Transactions on Energy Web, 167292.
10. Sadek, R. A., Abd-alazeem, D. M., & Abbassy, M. M. (2021). A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks. International Journal of Advanced Computer Science and Applications, 12(11).
11. Derindere Köseoğlu, S., Ead, W. M., & Abbassy, M. M. (2022). Basics of Financial Data Analytics. Financial Data Analytics, 23–57.
12. Ead, W. M., & Abbassy, M. M. (2022). A general cyber hygiene approach for financial analytical environment. Financial Data Analytics, 369–384.
13. Abbassy, M. M., & Ead, W. M. (2020). Intelligent Greenhouse Management System. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).
14. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2013). Mobile hospitalization. International Journal of Computer Applications, 80(13), 18–23.
15. Abbassy,M.M., & Mohamed A.A.(2016). “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, 14(5), 320–324.
16. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2014). Mobile hospitalization for Kidney Transplantation. International Journal of Computer Applications, 92(6), 25–29.
17. Ead, W. M., Abbassy, M. M., & El-Abd, E. (2021). A general framework information loss of utility-based anonymization in Data Publishing. Turkish Journal of Computer and Mathematics Education, 12(5), 1450–1456.
18. Abbassy, M. M., & Abo-Alnadr, A. (2019). Rule-based emotion AI in Arabic Customer Review. International Journal of Advanced Computer Science and Applications, 10(9).
19. Abbassy, M. M. (2020). The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 858–868.
20. Abbassy, M. M. (2020). Opinion mining for Arabic customer feedback using machine learning. Journal of Advanced Research in Dynamical and Control Systems, 12(SP3), 209–217.
21. Jain, Rituraj, Chakravarthi, M. Kalyan, Kumar, P. K., Hemakesavulu, O., Ramirez-Asis, Edwin, Pelaez-Diaz, Guillermo and Mahaveerakannan, R.. "Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system" Nonlinear Engineering, vol. 11, no. 1, pp. 582-589, 2022.
22. Pradeep Reddy, Gogulamudi, Yellapragada Venkata Pavan Kumar, Maddikera Kalyan Chakravarthi, and Aymen Flah., "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids" Sustainability 14, no. 16: 10367, 2022.
23. Reddy, Gogulamudi Pradeep, Yellapragada Venkata Pavan Kumar, and Maddikera Kalyan Chakravarthi., "Communication Technologies for Interoperable Smart Microgrids in Urban Energy Community: A Broad Review of the State of the Art, Challenges, and Research Perspectives" Sensors 22, no. 15: 5881. 2022.
24. C. R. Mahesha, R. Suprabha, Nellore Manoj Kumar, Koushik Kosanam, Harishchander Anandaram, S. C. V. Ramana Murty Naidu, M. Kalyan Chakravarthi, Venkatesan Govindarajan, "Effect of Friction Stir Welding on the Mechanical and Microstructural Behaviour of AA7075 Aluminium Alloy", Advances in Materials Science and Engineering, vol. 2022, 8 pages, 2022.
25. B. Deepa, K. Gayathiridevi, M. Kalyan Chakravarthi, A. Shajahan, B Shanti Sree, Mohammed Imran Anees, Mohammad Habeeb, ”Slow evaporation technique to grow 3 – Amino benzene sulfonic acid single crystal for Non-Linear optical (NLO) transmission”, Materials Today: Proceedings, Vol. 62, Part.4, pp.2119-2123, 2022.
26. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
27. Zannah, S. Rachakonda, A. M. Abubakar, S. Devkota, and E. C. Nneka, “Control for Hydrogen Recovery in Pressuring Swing Adsorption System Modeling,” FMDB Transactions on Sustainable Energy Sequence, vol. 1, no. 1, pp. 1–10, 2023.
28. Khelifi and A. Abran, "Design steps for developing software measurement standard etalons for iso 19761 (cosmic-ffp)," in WSEAS International Conference on COMPUTERS, 2007.
29. Khelifi and K. H. Hyari, "A mobile device software to improve construction sites communications" MoSIC"," International Journal of Advanced Computer Science and Applications, vol. 7, no. 11, pp. n/a, 2016.
30. Khelifi, A. Abran, and L. Buglione, "2.4 a system of reference for software measurements with ISO 19761 (COSMIC FFP)," in COSMIC Function Points: Theory and Advanced Practices, vol. 142, 2016.
31. Khelifi, M. Aburrous, M. A. Talib, and P. V. S. Shastry, "Enhancing protection techniques of e-banking security services using open source cryptographic algorithms," in 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 89-95, 2013.
32. Khelifi, Y. Grisi, D. Soufi, D. Mohanad, and P. V. S. Shastry, "M-Vote: a reliable and highly secure mobile voting system," in 2013 Palestinian International Conference on information and communication technology, pp. 90-98, 2013.
33. Ldbyani and M. H. A. Al-Abyadh, “Relationship between Dark Triad, Mental Health, and Subjective Well-being Moderated by Mindfulness: A Study on Atheists and Muslim Students,” Islamic Guidance and Counseling Journal, vol. 5, no. 1, pp. 71–87, 2022.
34. R. Yeruva and V. B. Ramu, “Optimising AIOps system performance for e-commerce and online retail businesses with the ACF model,” Int. J. Intellect. Prop. Manag., vol. 1, no. 1, p. 1, 2022.
35. Abdelazim, M. A., Nasr, M. M., & Ead, W. M. (2020). A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and Target Therapies. Annals of Tropical Medicine and Public Health, 23(24).
36. AbdulKader, H., ElAbd, E., & Ead, W. (2016). Protecting Online Social Networks Profiles by Hiding Sensitive Data Attributes. Procedia Computer Science, 82, 20–27.
37. Alshadidi, A. A. F., Alshahrani, A. A., Aldosari, L. I. N., Chaturvedi, S., Saini, R. S., Hassan, S. A. B., Cicciù, M., & Minervini, G. (2023). Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Sciences, 13(8), 5004.
38. Alsheref, F. K., Fattoh, I. E., & M.Ead, W. (2022). Automated prediction of employee attrition using ensemble model based on machine learning algorithms. Computational Intelligence and Neuroscience, 2022, 1–9.
39. Amit Kumar Jain, “Hybrid Cloud Computing: A Perspective,” International Journal of Engineering Research & Technology, vol. 11, no. 10, p. 1, 2022.
40. Amit Kumar Jain, “Multi-Cloud Computing & Why do we need to Embrace it,” International Journal Of Engineering Research & Technology, vol. 11, no. 09, p. 1, 2022.
41. Amit Kumar Jain, “Overview of Serverless Architecture,” International Journal of Engineering Research & Technology, vol. 11, no. 09, p. 3, 2022.
42. Aryal, A., Stricklin, I., Behzadirad, M., Branch, D. W., Siddiqui, A., & Busani, T. (2022). High-Quality Dry Etching of LiNbO3 Assisted by Proton Substitution through H2-Plasma Surface Treatment. Nanomaterials, 12(16), 2836.
43. Adgaonkar, D. R. Patil, and B. S. Borkar, ‘Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters’, in 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), 2022, pp. 1–6.
44. S. Borkar, D. R. Patil, A. V. Markad, and M. Sharma, ‘Real or Fake Identity Deception of Social Media Accounts using Recurrent Neural Network’, in 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), 2022, pp. 80–84.
45. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
46. R. Patil and M. Sharma, ‘Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments’, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 04, pp. 5921–5927, 2020.
47. R. Patil and R. Purohit, ‘Dynamic Resource Allocation and Memory Management using Deep Convolutional Neural Network’, IJEAT, vol. 9, no. 02, pp. 608–612, 2019.
48. D. R. Patil, B. Borkar, A. Markad, S. Kadlag, M. Kumbhkar, and A. Jamal, ‘Delay Tolerant and Energy Reduced Task Allocation in Internet of Things with Cloud Systems’, in 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022, pp. 1579–1583.
49. D. R. Patil, B. S. Borkar, A. V. Markad, and H. P. Singh, ‘Applications of Artificial Intelligence using Baye’s Theorem: Survey’, Universal Review, vol. 8, no. 02, pp. 198–203, 2019.
50. D. R. Patil, G. Mukesh, S. Manish, and B. Malay, ‘Memory and Resource Management for Mobile Platform in High Performance Computation Using Deep Learning’, ICIC Express Letters:Part B: Applications, vol. 13, no. 9, pp. 991–1000, 2022.
51. D. Saxena, S. Khandare and S. Chaudhary, “An Overview of ChatGPT: Impact on Academic Learning,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 11–20, 2023.
52. Vashishtha and G. Dhawan, “Bridging Generation Gap on Analysis of Mentor-Mentee Relationship in Healthcare Setting,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 21–30, 2023.
53. E. Vashishtha and G. Dhawan, “Comparison of Baldrige Criteria of Strategy Planning and Harrison Text,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 22-31, 2023.
54. E. Vashishtha and H. Kapoor, “Implementation of Blockchain Technology Across International Healthcare Markets,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 1–12, 2023.
55. Ead, W. M., Abdel-Wahed, W. F., & Abdul-Kader, H. (2013). Adaptive Fuzzy Classification-Rule Algorithm In Detection Malicious Web Sites From Suspicious URLs. Int. Arab. J. E Technol., 3, 1–9.
56. Fattoh, I. E., Kamal Alsheref, F., Ead, W. M., & Youssef, A. M. (2022). Semantic sentiment classification for covid-19 tweets using universal sentence encoder. Computational Intelligence and Neuroscience, 2022, 1–8.
57. Nirmala, R. Premavathy, R. Chandar, J. Jeganathan, “An Explanatory Case Report on Biopsychosocial Issues and the Impact of Innovative Nurse-Led Therapy in Children with Hematological Cancer,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 1–10, 2023.
58. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
59. H. Abdel Azeem and M. H. A. Al-Abyadh, “Self-compassion: the influences on the university students’ life satisfaction during the COVID-19 outbreak,” Int. J. Hum. Rights Healthc., vol. ahead-of-print, no. ahead-of-print, 2021.
60. Nayak, A, Kushwaha, P.C. Behera, N.C. Shahi, K.P.S. Kushwaha, A. Kumar and K.K. Mishra, “The pink oyster mushroom, Pleurotus djamor (Agaricomycetes): A potent antioxidant and hypoglycemic agent,” International Journal of Medicinal Mushrooms, vol. 23, no. 12, p. 29-36, 2021.
61. Haq, M. A., & Baral, P. (2019). Study of permafrost distribution in Sikkim Himalayas using Sentinel-2 satellite images and logistic regression modelling. Geomorphology, 333, 123–136.
62. Haq, M. A., Ahmed, A., Khan, I., Gyani, J., Mohamed, A., Attia, E.-A., Mangan, P., & Pandi, D. (2022). Analysis of environmental factors using AI and ML methods. Scientific Reports, 12(1), 13267.
63. Haq, M. A., Alshehri, M., Rahaman, G., Ghosh, A., Baral, P., & Shekhar, C. (2021). Snow and glacial feature identification using Hyperion dataset and machine learning algorithms. Arabian Journal of Geosciences, 14(15).
64. Haq, M. A., Ghosh, A., Rahaman, G., & Baral, P. (2019). Artificial neural network-based modeling of snow properties using field data and hyperspectral imagery. Natural Resource Modeling, 32(4).
65. J. L. María, O. C. C. Polo, and T. Elhadary, “An Analysis of the Morality and Social Responsibility of Non-Profit Organizations,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 28–35, 2023.
66. Jeganathan, S. Vashist, G. Nirmala, R. Deep, “A Cross Sectional Study on Anxiety and Depression Among Patients with Alcohol Withdrawal Syndrome,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 31–40, 2023.
67. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
68. Srinivas, P. R. Velmurugan, and N. Andiyappillai, “Digital Human Resources and Management Support Improve Human Resources Effectiveness,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 32-45, 2023.
69. K. Venkitaraman and V. S. R. Kosuru, “Hybrid Deep Learning Mechanism for Charging Control and Management of Electric Vehicles”, EJECE, vol. 7, no. 1, pp. 38–46, Jan. 2023.
70. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
71. Kaur, K., Suneja, B., Jodhka, S., Saini, R. S., Chaturvedi, S., Bavabeedu, S. S., Alhamoudi, F. H., Cicciù, M., & Minervini, G. (2023). Comparison between Restorative Materials for Pulpotomised Deciduous Molars: A Randomized Clinical Study. Children, 10(2), 284.
72. Kumar A, Saini RS, Sharma V , Rai R U , Gupta P, Sabharwal P ( 2021) , Assessment of Pattern of Oral Prosthetic Treatment and Prevalence of Oral Diseases in Edentulous Patients in North Indian Population: A Cross-sectional Study. J Pharm Bioallied Sci. 2021 Jun; 13(Suppl 1): S187–S189.
73. Talib, A. Khelifi, A. Abran, and O. Ormandjieva, "Techniques for quantitative analysis of software quality throughout the sdlc: The swebok guide coverage," in 2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications, pp. 321-328, 2010.
74. Talib, A. Khelifi, and L. Jololian, "Secure software engineering: A new teaching perspective based on the SWEBOK," in Interdisciplinary Journal of Information, Knowledge, and Management, vol. 5, pp. 83-99, 2010.
75. M. A. Talib, A. Khelifi, and T. Ugurlu, "Using ISO 27001 in teaching information security," in IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pp. 3149-3153, 2012.
76. M. A. Talib, O. Ormandjieva, A. Abran, A. Khelifi, and L. Buglione, "Scenario-based Black Box Testing in COSMIC-FFP: a case study," in Software Quality Professional, vol. 8, no. 3, pp. 22, 2006.
77. M. Aburrous and A. Khelifi, "Phishing detection plug-in toolbar using intelligent Fuzzy-classification mining techniques," in The international conference on soft computing and software engineering [SCSE’13], San Francisco State University, San Francisco, California, USA, 2013.
78. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
79. M. H. A. Al-Abyadh and H. A. H. Abdel Azeem, “Academic achievement: Influences of university students’ self-management and perceived self-efficacy,” J. Intell., vol. 10, no. 3, p. 55, 2022.
80. M. P. Ocoró, O. C. C. Polo, and S. Khandare, “Importance of Business Financial Risk Analysis in SMEs According to COVID-19,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 12-21, 2023.
81. M. Ravinder and V. Kulkarni, "A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid," 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2023, pp. 692-697.
82. M.M. Akram, M. Farman, A. Akgül, M. U. Saleem, A. Ahmad, M. Partohaghigh, F. Jarad, “Analysis of HIV/AIDS model with Mittag-Leffler kernel”, Aims Math, vol. 7 no. 7, pp. 13383-13401, July 2022.
83. Mangan, P., Pandi, D., Haq, M. A., Sinha, A., Nagarajan, R., Dasani, T., Keshta, I., & Alshehri, M. (2022). Analytic Hierarchy Process Based Land Suitability for Organic Farming in the Arid Region. Sustainability, 14(4542), 1–16.
84. Mohamed J. Saadh, Andrés Alexis Ramírez-Coronel, Ravinder Singh Saini, José Luis Arias-Gonzáles, Ali H. Amin, Juan Carlos Orosco Gavilán & Ioan Sârbu ( 2023) Advances in mesenchymal stem/stromal cell-based therapy and their extracellular vesicles for skin wound healing .Human Cell (2023).
85. S. Al-Abrat and M. H. A. Alabyad, “The Extent of Awareness of Faculty Members at Al-bayda University About the Concept of Educational Technology and Their Attitudes Towards It,” in New Trends in Information and Communications Technology Applications. NTICT 2021, vol. 1511, A. M. Al-Bakry, Ed. Cham: Springer, 2021.
86. Pandit, “On the Context of Diabetes: A Brief Discussion on the Novel Ethical Issues of Non-communicable Diseases,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 11–20, 2023.
87. Paramasivan, “A Novel Approach: Hydrothermal Method of Fine Stabilized Superparamagnetics of Cobalt Ferrite (CoFe2O4) Nanoparticles,” Journal of Superconductivity and Novel Magnetism, vol. 29, pp. 2805–2811, 2016.
88. P. Paramasivan, “Comparative investigation of NiFe2O4 nano and microstructures for structural, optical, magnetic and catalytic properties,” Advanced Science, Engineering and Medicine, vol. 8, pp. 392–397, 2016.
89. P. Paramasivan, “Controllable synthesis of CuFe2O4 nanostructures through simple hydrothermal method in the presence of thioglycolic acid,” Physica E: Low-dimensional Systems and Nanostructures, vol. 84, pp. 258–262, 2016.
90. P. Paramasivan, S. Narayanan, and N. M. Faizee, “Enhancing Catalytic Activity of Mn3O4 by Selective Liquid Phase Oxidation of Benzyl Alcohol,” Advanced Science, Engineering and Medicine, vol. 10, pp. 1–5, 2018.
91. P. S. Kuragayala, “A Systematic Review on Workforce Development in Healthcare Sector: Implications in the Post-COVID Scenario,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 36–46, 2023.
92. P.S. Venkateswaran and P. Viktor, “A Study on Brand Equity of Fast-Moving Consumer Goods with Reference to Madurai, Tamil Nadu,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 13–27, 2023.
93. P.S. Venkateswaran, S. Singh, P. Paramasivan, S. S. Rajest, M. E. Lourens, R. Regin, “A Study on The Influence of Quality of Service on Customer Satisfaction Towards Hotel Industry,” FMDB Transactions on Sustainable Social Sciences Letters, vol. 1, no. 1, pp. 1–11, 2023.
94. Paldi, Robynne L., Arjun Aryal, Mahmoud Behzadirad, Tito Busani, Aleem Siddiqui, and Haiyan Wang. "Nanocomposite-seeded Single-Domain Growth of Lithium Niobate Thin Films for Photonic Applications." In 2021 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2021.
95. Priscila, S. S., Rajest, S. S., T, S. and G, G. (2022) “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”, Central Asian Journal of Medical and Natural Science, 3(6), pp. 343-360.
96. M and V. Kulkarni, "Energy-Efficient Algorithm for Cluster Formation and Cluster Head Selection for WSN," 2022 IEEE Bombay Section Signature Conference (IBSSC), Mumbai, India, 2022, pp. 1-6.
97. 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.
98. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
99. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
100. Rathi, S., Chaturvedi, S., Abdullah, S., Rajput, G., Alqahtani, N. M., Chaturvedi, M., Gurumurthy, V., Saini, R., Bavabeedu, S. S., & Minervini, G. (2023). Clinical Trial to Assess Physiology and Activity of Masticatory Muscles of Complete Denture Wearer Following Vitamin D Intervention. Medicina, 59(2), 410.
101. Ravinder M and Kulkarni V (2023), Intrusion detection in smart meters data using machine learning algorithms: A research report. Front. Energy Res. 11:1147431.
102. 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.
103. S Silvia Priscila, M Hemalatha, “ Diagnosisof heart disease with particle bee-neural network” Biomedical Research, Special Issue, pp. S40-S46, 2018.
104. S Silvia Priscila, M Hemalatha, “Heart Disease Prediction Using Integer-Coded Genetic Algorithm (ICGA) Based Particle Clonal Neural Network (ICGA-PCNN)”, Bonfring International Journal of Industrial Engineering and Management Science 8 (2), 15-19, 2018.
105. Ambika, T. A. Sivakumar, and P. Sukantha, “Preparation and characterization of nanocopper ferrite and its green catalytic activity in alcohol oxidation reaction,” Journal of Superconductivity and Novel Magnetism, vol. 32, pp. 903–910, 2019.
106. S. S. Priscila, S.S. Rajest, S. N. Tadiboina, R. Regin and S. András, “Analysis of Machine Learning and Deep Learning Methods for Superstore Sales Prediction,” FMDB Transactions on Sustainable Computer Letters., vol. 1, no. 1, pp. 1–11, 2023.
107. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
108. S. Shruthi and B.R. Aravind, “Engaging ESL Learning on Mastering Present Tense with Nearpod and LearningApps.org for Engineering Students,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 21–31, 2023.
109. S. Tripathi and A. Al -Zubaidi, “A Study within Salalah’s Higher Education Institutions on Online Learning Motivation and Engagement Challenges during Covid-19,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 1–10, 2023.
110. S. Tripathi and M. Al-Shahri, “Problems and Prospects on the Evolution of Advertising and Public Relations Industries in Oman,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 1–11, 2023.
111. Shifat, A. Z., Stricklin, I., Chityala, R. K., Aryal, A., Esteves, G., Siddiqui, A., & Busani, T. (2023). Vertical Etching of Scandium Aluminum Nitride Thin Films Using TMAH Solution. Nanomaterials, 13(2), 274.
112. Solanki, J., Jain, R., Singh, R., Gupta, S., Arya, A., & Tomar, D. (2015). Prevalence of Osteosclerosis Among Patients Visiting Dental Institute in Rural Area of Western India. Journal of clinical and diagnostic research : JCDR, 9(8), ZC38–ZC40.
113. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
114. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
115. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
116. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
117. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
118. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
119. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
120. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
121. SS Priscila, M Hemalatha, “Improving the performance of entropy ensembles of neural networks (EENNS) on classification of heart disease prediction”, Int J Pure Appl Math 117 (7), 371-386, 2017.
122. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
123. Ramu and A. R. Yeruva, “AIOps research innovations, performance impact and challenges faced,” Int. J. Syst. Syst. Eng., vol. 13, no. 3, p. 1, 2023.
124. Nithyanantham, “Study Examines the Connection Between Students' Various Intelligence and Their Levels of Mathematical Success in School,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 32–59, 2023.
125. S. R. Kosuru and A. K. Venkitaraman, “Developing a Deep Q-Learning and Neural Network Framework for Trajectory Planning”, EJENG, vol. 7, no. 6, pp. 148–157, Dec. 2022.
2. Y. Li, R. Zhu, L. Mi, Y. Cao, and D. Yao, “Segmentation of white blood cell from Acute Lymphoblastic Leukemia images using the dual-threshold method,” Comput. Math. Methods Med., vol. 2016, p. 9514707, 2016.
3. M. Moradiamin, N. Samadzadehaghdam, S. Kermani, and A. Talebi, “Enhanced Recognition of Acute Lymphoblastic Leukemia Cells in microscopic Images based on Feature Reduction using PrincipleComponent Analysis,” Frontiers in Biomedical Technologies, vol. 2, no. 3, pp. 128–136.
4. L. Putzu and C. D. Ruberto, “White Blood Cells Identification and Counting from Microscopic Blood Image”,” Health, Biomedical and Pharmaceutical Engineering, vol. 7, no. 1, pp. 15–22, 2013.
5. Mohapatra, S., Patra, D. & Satpathy, S. An ensemble classifier system for early diagnosis of acute lymphoblastic leukaemia in blood microscopic images. Neural Comput & Applic 24, 1887–1904 (2014).
6. S. Alagu, A. Priyanka, Kavitha, and B. Bagan, “Automatic detection of acute lymphoblastic leukaemia using UNET based segmentation and statistical analysis of fused deep features,” Appl. Artif. Intell., vol. 35, no. 15, pp. 1952–1969, 2021.
7. M., M., & Mesbah, S. (2016). Effective e-government and citizens adoption in Egypt. International Journal of Computer Applications, 133(7), 7–13.
8. Ead, W. M., & Abbassy, M. M. (2021). IOT based on plant diseases detection and classification. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
9. Ead, W., & Abbassy, M. (2018). Intelligent Systems of Machine Learning Approaches for developing E-services portals. EAI Endorsed Transactions on Energy Web, 167292.
10. Sadek, R. A., Abd-alazeem, D. M., & Abbassy, M. M. (2021). A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks. International Journal of Advanced Computer Science and Applications, 12(11).
11. Derindere Köseoğlu, S., Ead, W. M., & Abbassy, M. M. (2022). Basics of Financial Data Analytics. Financial Data Analytics, 23–57.
12. Ead, W. M., & Abbassy, M. M. (2022). A general cyber hygiene approach for financial analytical environment. Financial Data Analytics, 369–384.
13. Abbassy, M. M., & Ead, W. M. (2020). Intelligent Greenhouse Management System. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).
14. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2013). Mobile hospitalization. International Journal of Computer Applications, 80(13), 18–23.
15. Abbassy,M.M., & Mohamed A.A.(2016). “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, 14(5), 320–324.
16. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2014). Mobile hospitalization for Kidney Transplantation. International Journal of Computer Applications, 92(6), 25–29.
17. Ead, W. M., Abbassy, M. M., & El-Abd, E. (2021). A general framework information loss of utility-based anonymization in Data Publishing. Turkish Journal of Computer and Mathematics Education, 12(5), 1450–1456.
18. Abbassy, M. M., & Abo-Alnadr, A. (2019). Rule-based emotion AI in Arabic Customer Review. International Journal of Advanced Computer Science and Applications, 10(9).
19. Abbassy, M. M. (2020). The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 858–868.
20. Abbassy, M. M. (2020). Opinion mining for Arabic customer feedback using machine learning. Journal of Advanced Research in Dynamical and Control Systems, 12(SP3), 209–217.
21. Jain, Rituraj, Chakravarthi, M. Kalyan, Kumar, P. K., Hemakesavulu, O., Ramirez-Asis, Edwin, Pelaez-Diaz, Guillermo and Mahaveerakannan, R.. "Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system" Nonlinear Engineering, vol. 11, no. 1, pp. 582-589, 2022.
22. Pradeep Reddy, Gogulamudi, Yellapragada Venkata Pavan Kumar, Maddikera Kalyan Chakravarthi, and Aymen Flah., "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids" Sustainability 14, no. 16: 10367, 2022.
23. Reddy, Gogulamudi Pradeep, Yellapragada Venkata Pavan Kumar, and Maddikera Kalyan Chakravarthi., "Communication Technologies for Interoperable Smart Microgrids in Urban Energy Community: A Broad Review of the State of the Art, Challenges, and Research Perspectives" Sensors 22, no. 15: 5881. 2022.
24. C. R. Mahesha, R. Suprabha, Nellore Manoj Kumar, Koushik Kosanam, Harishchander Anandaram, S. C. V. Ramana Murty Naidu, M. Kalyan Chakravarthi, Venkatesan Govindarajan, "Effect of Friction Stir Welding on the Mechanical and Microstructural Behaviour of AA7075 Aluminium Alloy", Advances in Materials Science and Engineering, vol. 2022, 8 pages, 2022.
25. B. Deepa, K. Gayathiridevi, M. Kalyan Chakravarthi, A. Shajahan, B Shanti Sree, Mohammed Imran Anees, Mohammad Habeeb, ”Slow evaporation technique to grow 3 – Amino benzene sulfonic acid single crystal for Non-Linear optical (NLO) transmission”, Materials Today: Proceedings, Vol. 62, Part.4, pp.2119-2123, 2022.
26. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
27. Zannah, S. Rachakonda, A. M. Abubakar, S. Devkota, and E. C. Nneka, “Control for Hydrogen Recovery in Pressuring Swing Adsorption System Modeling,” FMDB Transactions on Sustainable Energy Sequence, vol. 1, no. 1, pp. 1–10, 2023.
28. Khelifi and A. Abran, "Design steps for developing software measurement standard etalons for iso 19761 (cosmic-ffp)," in WSEAS International Conference on COMPUTERS, 2007.
29. Khelifi and K. H. Hyari, "A mobile device software to improve construction sites communications" MoSIC"," International Journal of Advanced Computer Science and Applications, vol. 7, no. 11, pp. n/a, 2016.
30. Khelifi, A. Abran, and L. Buglione, "2.4 a system of reference for software measurements with ISO 19761 (COSMIC FFP)," in COSMIC Function Points: Theory and Advanced Practices, vol. 142, 2016.
31. Khelifi, M. Aburrous, M. A. Talib, and P. V. S. Shastry, "Enhancing protection techniques of e-banking security services using open source cryptographic algorithms," in 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 89-95, 2013.
32. Khelifi, Y. Grisi, D. Soufi, D. Mohanad, and P. V. S. Shastry, "M-Vote: a reliable and highly secure mobile voting system," in 2013 Palestinian International Conference on information and communication technology, pp. 90-98, 2013.
33. Ldbyani and M. H. A. Al-Abyadh, “Relationship between Dark Triad, Mental Health, and Subjective Well-being Moderated by Mindfulness: A Study on Atheists and Muslim Students,” Islamic Guidance and Counseling Journal, vol. 5, no. 1, pp. 71–87, 2022.
34. R. Yeruva and V. B. Ramu, “Optimising AIOps system performance for e-commerce and online retail businesses with the ACF model,” Int. J. Intellect. Prop. Manag., vol. 1, no. 1, p. 1, 2022.
35. Abdelazim, M. A., Nasr, M. M., & Ead, W. M. (2020). A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and Target Therapies. Annals of Tropical Medicine and Public Health, 23(24).
36. AbdulKader, H., ElAbd, E., & Ead, W. (2016). Protecting Online Social Networks Profiles by Hiding Sensitive Data Attributes. Procedia Computer Science, 82, 20–27.
37. Alshadidi, A. A. F., Alshahrani, A. A., Aldosari, L. I. N., Chaturvedi, S., Saini, R. S., Hassan, S. A. B., Cicciù, M., & Minervini, G. (2023). Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Sciences, 13(8), 5004.
38. Alsheref, F. K., Fattoh, I. E., & M.Ead, W. (2022). Automated prediction of employee attrition using ensemble model based on machine learning algorithms. Computational Intelligence and Neuroscience, 2022, 1–9.
39. Amit Kumar Jain, “Hybrid Cloud Computing: A Perspective,” International Journal of Engineering Research & Technology, vol. 11, no. 10, p. 1, 2022.
40. Amit Kumar Jain, “Multi-Cloud Computing & Why do we need to Embrace it,” International Journal Of Engineering Research & Technology, vol. 11, no. 09, p. 1, 2022.
41. Amit Kumar Jain, “Overview of Serverless Architecture,” International Journal of Engineering Research & Technology, vol. 11, no. 09, p. 3, 2022.
42. Aryal, A., Stricklin, I., Behzadirad, M., Branch, D. W., Siddiqui, A., & Busani, T. (2022). High-Quality Dry Etching of LiNbO3 Assisted by Proton Substitution through H2-Plasma Surface Treatment. Nanomaterials, 12(16), 2836.
43. Adgaonkar, D. R. Patil, and B. S. Borkar, ‘Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters’, in 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), 2022, pp. 1–6.
44. S. Borkar, D. R. Patil, A. V. Markad, and M. Sharma, ‘Real or Fake Identity Deception of Social Media Accounts using Recurrent Neural Network’, in 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), 2022, pp. 80–84.
45. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
46. R. Patil and M. Sharma, ‘Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments’, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 04, pp. 5921–5927, 2020.
47. R. Patil and R. Purohit, ‘Dynamic Resource Allocation and Memory Management using Deep Convolutional Neural Network’, IJEAT, vol. 9, no. 02, pp. 608–612, 2019.
48. D. R. Patil, B. Borkar, A. Markad, S. Kadlag, M. Kumbhkar, and A. Jamal, ‘Delay Tolerant and Energy Reduced Task Allocation in Internet of Things with Cloud Systems’, in 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022, pp. 1579–1583.
49. D. R. Patil, B. S. Borkar, A. V. Markad, and H. P. Singh, ‘Applications of Artificial Intelligence using Baye’s Theorem: Survey’, Universal Review, vol. 8, no. 02, pp. 198–203, 2019.
50. D. R. Patil, G. Mukesh, S. Manish, and B. Malay, ‘Memory and Resource Management for Mobile Platform in High Performance Computation Using Deep Learning’, ICIC Express Letters:Part B: Applications, vol. 13, no. 9, pp. 991–1000, 2022.
51. D. Saxena, S. Khandare and S. Chaudhary, “An Overview of ChatGPT: Impact on Academic Learning,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 11–20, 2023.
52. Vashishtha and G. Dhawan, “Bridging Generation Gap on Analysis of Mentor-Mentee Relationship in Healthcare Setting,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 21–30, 2023.
53. E. Vashishtha and G. Dhawan, “Comparison of Baldrige Criteria of Strategy Planning and Harrison Text,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 22-31, 2023.
54. E. Vashishtha and H. Kapoor, “Implementation of Blockchain Technology Across International Healthcare Markets,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 1–12, 2023.
55. Ead, W. M., Abdel-Wahed, W. F., & Abdul-Kader, H. (2013). Adaptive Fuzzy Classification-Rule Algorithm In Detection Malicious Web Sites From Suspicious URLs. Int. Arab. J. E Technol., 3, 1–9.
56. Fattoh, I. E., Kamal Alsheref, F., Ead, W. M., & Youssef, A. M. (2022). Semantic sentiment classification for covid-19 tweets using universal sentence encoder. Computational Intelligence and Neuroscience, 2022, 1–8.
57. Nirmala, R. Premavathy, R. Chandar, J. Jeganathan, “An Explanatory Case Report on Biopsychosocial Issues and the Impact of Innovative Nurse-Led Therapy in Children with Hematological Cancer,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 1–10, 2023.
58. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
59. H. Abdel Azeem and M. H. A. Al-Abyadh, “Self-compassion: the influences on the university students’ life satisfaction during the COVID-19 outbreak,” Int. J. Hum. Rights Healthc., vol. ahead-of-print, no. ahead-of-print, 2021.
60. Nayak, A, Kushwaha, P.C. Behera, N.C. Shahi, K.P.S. Kushwaha, A. Kumar and K.K. Mishra, “The pink oyster mushroom, Pleurotus djamor (Agaricomycetes): A potent antioxidant and hypoglycemic agent,” International Journal of Medicinal Mushrooms, vol. 23, no. 12, p. 29-36, 2021.
61. Haq, M. A., & Baral, P. (2019). Study of permafrost distribution in Sikkim Himalayas using Sentinel-2 satellite images and logistic regression modelling. Geomorphology, 333, 123–136.
62. Haq, M. A., Ahmed, A., Khan, I., Gyani, J., Mohamed, A., Attia, E.-A., Mangan, P., & Pandi, D. (2022). Analysis of environmental factors using AI and ML methods. Scientific Reports, 12(1), 13267.
63. Haq, M. A., Alshehri, M., Rahaman, G., Ghosh, A., Baral, P., & Shekhar, C. (2021). Snow and glacial feature identification using Hyperion dataset and machine learning algorithms. Arabian Journal of Geosciences, 14(15).
64. Haq, M. A., Ghosh, A., Rahaman, G., & Baral, P. (2019). Artificial neural network-based modeling of snow properties using field data and hyperspectral imagery. Natural Resource Modeling, 32(4).
65. J. L. María, O. C. C. Polo, and T. Elhadary, “An Analysis of the Morality and Social Responsibility of Non-Profit Organizations,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 28–35, 2023.
66. Jeganathan, S. Vashist, G. Nirmala, R. Deep, “A Cross Sectional Study on Anxiety and Depression Among Patients with Alcohol Withdrawal Syndrome,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 31–40, 2023.
67. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
68. Srinivas, P. R. Velmurugan, and N. Andiyappillai, “Digital Human Resources and Management Support Improve Human Resources Effectiveness,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 32-45, 2023.
69. K. Venkitaraman and V. S. R. Kosuru, “Hybrid Deep Learning Mechanism for Charging Control and Management of Electric Vehicles”, EJECE, vol. 7, no. 1, pp. 38–46, Jan. 2023.
70. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
71. Kaur, K., Suneja, B., Jodhka, S., Saini, R. S., Chaturvedi, S., Bavabeedu, S. S., Alhamoudi, F. H., Cicciù, M., & Minervini, G. (2023). Comparison between Restorative Materials for Pulpotomised Deciduous Molars: A Randomized Clinical Study. Children, 10(2), 284.
72. Kumar A, Saini RS, Sharma V , Rai R U , Gupta P, Sabharwal P ( 2021) , Assessment of Pattern of Oral Prosthetic Treatment and Prevalence of Oral Diseases in Edentulous Patients in North Indian Population: A Cross-sectional Study. J Pharm Bioallied Sci. 2021 Jun; 13(Suppl 1): S187–S189.
73. Talib, A. Khelifi, A. Abran, and O. Ormandjieva, "Techniques for quantitative analysis of software quality throughout the sdlc: The swebok guide coverage," in 2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications, pp. 321-328, 2010.
74. Talib, A. Khelifi, and L. Jololian, "Secure software engineering: A new teaching perspective based on the SWEBOK," in Interdisciplinary Journal of Information, Knowledge, and Management, vol. 5, pp. 83-99, 2010.
75. M. A. Talib, A. Khelifi, and T. Ugurlu, "Using ISO 27001 in teaching information security," in IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pp. 3149-3153, 2012.
76. M. A. Talib, O. Ormandjieva, A. Abran, A. Khelifi, and L. Buglione, "Scenario-based Black Box Testing in COSMIC-FFP: a case study," in Software Quality Professional, vol. 8, no. 3, pp. 22, 2006.
77. M. Aburrous and A. Khelifi, "Phishing detection plug-in toolbar using intelligent Fuzzy-classification mining techniques," in The international conference on soft computing and software engineering [SCSE’13], San Francisco State University, San Francisco, California, USA, 2013.
78. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
79. M. H. A. Al-Abyadh and H. A. H. Abdel Azeem, “Academic achievement: Influences of university students’ self-management and perceived self-efficacy,” J. Intell., vol. 10, no. 3, p. 55, 2022.
80. M. P. Ocoró, O. C. C. Polo, and S. Khandare, “Importance of Business Financial Risk Analysis in SMEs According to COVID-19,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 12-21, 2023.
81. M. Ravinder and V. Kulkarni, "A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid," 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2023, pp. 692-697.
82. M.M. Akram, M. Farman, A. Akgül, M. U. Saleem, A. Ahmad, M. Partohaghigh, F. Jarad, “Analysis of HIV/AIDS model with Mittag-Leffler kernel”, Aims Math, vol. 7 no. 7, pp. 13383-13401, July 2022.
83. Mangan, P., Pandi, D., Haq, M. A., Sinha, A., Nagarajan, R., Dasani, T., Keshta, I., & Alshehri, M. (2022). Analytic Hierarchy Process Based Land Suitability for Organic Farming in the Arid Region. Sustainability, 14(4542), 1–16.
84. Mohamed J. Saadh, Andrés Alexis Ramírez-Coronel, Ravinder Singh Saini, José Luis Arias-Gonzáles, Ali H. Amin, Juan Carlos Orosco Gavilán & Ioan Sârbu ( 2023) Advances in mesenchymal stem/stromal cell-based therapy and their extracellular vesicles for skin wound healing .Human Cell (2023).
85. S. Al-Abrat and M. H. A. Alabyad, “The Extent of Awareness of Faculty Members at Al-bayda University About the Concept of Educational Technology and Their Attitudes Towards It,” in New Trends in Information and Communications Technology Applications. NTICT 2021, vol. 1511, A. M. Al-Bakry, Ed. Cham: Springer, 2021.
86. Pandit, “On the Context of Diabetes: A Brief Discussion on the Novel Ethical Issues of Non-communicable Diseases,” FMDB Transactions on Sustainable Health Science Letters, vol. 1, no. 1, pp. 11–20, 2023.
87. Paramasivan, “A Novel Approach: Hydrothermal Method of Fine Stabilized Superparamagnetics of Cobalt Ferrite (CoFe2O4) Nanoparticles,” Journal of Superconductivity and Novel Magnetism, vol. 29, pp. 2805–2811, 2016.
88. P. Paramasivan, “Comparative investigation of NiFe2O4 nano and microstructures for structural, optical, magnetic and catalytic properties,” Advanced Science, Engineering and Medicine, vol. 8, pp. 392–397, 2016.
89. P. Paramasivan, “Controllable synthesis of CuFe2O4 nanostructures through simple hydrothermal method in the presence of thioglycolic acid,” Physica E: Low-dimensional Systems and Nanostructures, vol. 84, pp. 258–262, 2016.
90. P. Paramasivan, S. Narayanan, and N. M. Faizee, “Enhancing Catalytic Activity of Mn3O4 by Selective Liquid Phase Oxidation of Benzyl Alcohol,” Advanced Science, Engineering and Medicine, vol. 10, pp. 1–5, 2018.
91. P. S. Kuragayala, “A Systematic Review on Workforce Development in Healthcare Sector: Implications in the Post-COVID Scenario,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 36–46, 2023.
92. P.S. Venkateswaran and P. Viktor, “A Study on Brand Equity of Fast-Moving Consumer Goods with Reference to Madurai, Tamil Nadu,” FMDB Transactions on Sustainable Technoprise Letters., vol. 1, no. 1, pp. 13–27, 2023.
93. P.S. Venkateswaran, S. Singh, P. Paramasivan, S. S. Rajest, M. E. Lourens, R. Regin, “A Study on The Influence of Quality of Service on Customer Satisfaction Towards Hotel Industry,” FMDB Transactions on Sustainable Social Sciences Letters, vol. 1, no. 1, pp. 1–11, 2023.
94. Paldi, Robynne L., Arjun Aryal, Mahmoud Behzadirad, Tito Busani, Aleem Siddiqui, and Haiyan Wang. "Nanocomposite-seeded Single-Domain Growth of Lithium Niobate Thin Films for Photonic Applications." In 2021 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2021.
95. Priscila, S. S., Rajest, S. S., T, S. and G, G. (2022) “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”, Central Asian Journal of Medical and Natural Science, 3(6), pp. 343-360.
96. M and V. Kulkarni, "Energy-Efficient Algorithm for Cluster Formation and Cluster Head Selection for WSN," 2022 IEEE Bombay Section Signature Conference (IBSSC), Mumbai, India, 2022, pp. 1-6.
97. 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.
98. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
99. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
100. Rathi, S., Chaturvedi, S., Abdullah, S., Rajput, G., Alqahtani, N. M., Chaturvedi, M., Gurumurthy, V., Saini, R., Bavabeedu, S. S., & Minervini, G. (2023). Clinical Trial to Assess Physiology and Activity of Masticatory Muscles of Complete Denture Wearer Following Vitamin D Intervention. Medicina, 59(2), 410.
101. Ravinder M and Kulkarni V (2023), Intrusion detection in smart meters data using machine learning algorithms: A research report. Front. Energy Res. 11:1147431.
102. 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.
103. S Silvia Priscila, M Hemalatha, “ Diagnosisof heart disease with particle bee-neural network” Biomedical Research, Special Issue, pp. S40-S46, 2018.
104. S Silvia Priscila, M Hemalatha, “Heart Disease Prediction Using Integer-Coded Genetic Algorithm (ICGA) Based Particle Clonal Neural Network (ICGA-PCNN)”, Bonfring International Journal of Industrial Engineering and Management Science 8 (2), 15-19, 2018.
105. Ambika, T. A. Sivakumar, and P. Sukantha, “Preparation and characterization of nanocopper ferrite and its green catalytic activity in alcohol oxidation reaction,” Journal of Superconductivity and Novel Magnetism, vol. 32, pp. 903–910, 2019.
106. S. S. Priscila, S.S. Rajest, S. N. Tadiboina, R. Regin and S. András, “Analysis of Machine Learning and Deep Learning Methods for Superstore Sales Prediction,” FMDB Transactions on Sustainable Computer Letters., vol. 1, no. 1, pp. 1–11, 2023.
107. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
108. S. Shruthi and B.R. Aravind, “Engaging ESL Learning on Mastering Present Tense with Nearpod and LearningApps.org for Engineering Students,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 21–31, 2023.
109. S. Tripathi and A. Al -Zubaidi, “A Study within Salalah’s Higher Education Institutions on Online Learning Motivation and Engagement Challenges during Covid-19,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 1–10, 2023.
110. S. Tripathi and M. Al-Shahri, “Problems and Prospects on the Evolution of Advertising and Public Relations Industries in Oman,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 1–11, 2023.
111. Shifat, A. Z., Stricklin, I., Chityala, R. K., Aryal, A., Esteves, G., Siddiqui, A., & Busani, T. (2023). Vertical Etching of Scandium Aluminum Nitride Thin Films Using TMAH Solution. Nanomaterials, 13(2), 274.
112. Solanki, J., Jain, R., Singh, R., Gupta, S., Arya, A., & Tomar, D. (2015). Prevalence of Osteosclerosis Among Patients Visiting Dental Institute in Rural Area of Western India. Journal of clinical and diagnostic research : JCDR, 9(8), ZC38–ZC40.
113. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
114. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
115. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
116. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
117. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
118. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
119. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
120. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
121. SS Priscila, M Hemalatha, “Improving the performance of entropy ensembles of neural networks (EENNS) on classification of heart disease prediction”, Int J Pure Appl Math 117 (7), 371-386, 2017.
122. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
123. Ramu and A. R. Yeruva, “AIOps research innovations, performance impact and challenges faced,” Int. J. Syst. Syst. Eng., vol. 13, no. 3, p. 1, 2023.
124. Nithyanantham, “Study Examines the Connection Between Students' Various Intelligence and Their Levels of Mathematical Success in School,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 32–59, 2023.
125. S. R. Kosuru and A. K. Venkitaraman, “Developing a Deep Q-Learning and Neural Network Framework for Trajectory Planning”, EJENG, vol. 7, no. 6, pp. 148–157, Dec. 2022.
Published
2023-07-04
How to Cite
Azarudeen Shariff, Md Hasan Raja, Mohamed Faseeh, & S. Manimaran. (2023). Automated Blood Cancer Diagnosis with Microscopy and Cell Counting of ALL, AML, CLL, and CML Cells. Central Asian Journal of Theoretical and Applied Science, 4(7), 19-35. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1238
Section
Articles
