Edeh MO, Dalal S, Alhussein M, Aurangzeb K, Seth B, Kumar K. 2024. A novel deep learning model for predicting marine pollution for sustainable ocean management. PeerJ Computer Science 10:e2482

Onyema EM; Suguna S.K; Sundaravadivazhagan B; Rutvij, H.J; Ugwuja, NE; Chinecherem ED; Kumari K.S; A secure routing protocol for improving the energy efficiency in wireless sensor network applications for industrial manufacturing, Next Energy, 7, 2025, 100219

A. Malik; EM Onyema, S. Dalal, Umesh K; D Anand; A Sharma, S Simaiya. (2023). Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model. Array (Elsevier), 19 (100303), 1-11.

E.M. Onyema, U.K. Lilhore, P. Saurabh, S. Dalal, A.S. Nwaeze, A.T. Chijindu, L.C. Ndufeiya-Kumasi, S. Simaiya (2023). Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0. Elsevier Measurement: Sensor, 26 (100679).

Onyema, EM; Sundaravadivazhagn, B; Kanimozhi, S.S; Celestine, I; B.V.V. S Prasad; Chinecherem, DE (2023). Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications. Elsevier Measurement: Sensors, 27(100718).

Onyema, EM (2025). Artificial intelligence in cancer diagnosis and therapy, Academic Press, (Elsevier) Pages 461-470. ISBN 9780443339844

Bhalaji Kharthik, K.S., Onyema, E.M., Mallik, S. et al. Transfer learned deep feature based crack detection using support vector machine: a comparative study. Scientific Reports, 14 (1) 14517 (2024).

Onyema, E.M., Gunapriya, B., Kavin, B.P. et al. Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection. Sci Rep 15, 21212 (2025).

Sambana, B., Nnadi, H.S., Wajid, M.A. et al. An efficient plant disease detection using transfer learning approach. Scientific Report (Springer)  15, 19082 (2025).

Onyema, E.M., Gude, V., Bhatt, A. et al. Smart Job Scheduling Model for Cloud Computing Network Application. SN Computer Science (Springer). 5 (1) (2024).

Malik, M., Onyema, E.M., Uddin, M. et al. Deep learning approach for Parkinson’s screening with geometric features from spiral and wave drawings. Multimed Tools Appl (2025).

Kulkarni, S., Onyema, E.M., Calistus, U.C., Ezema Modesta, E., Gude, V. (2025). Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques. Lecture Notes in Networks and Systems (Springer), vol 1409. Springer, Singapore.

Dinar, A.E., Ghouali, S., Guellil, M.S., Onyema, EM (2023). Energy-Efficient and Traffic-Aware Function Analysis of Network Service Orchestration. In: Hatti, M. (eds) Advanced Computational Techniques for Renewable Energy Systems. Lecture Notes in Networks and Systems, Vol 591. Springer, Cham.

Selvaraj, S., Alsayed, A.O., Ismail, N.A., Balasubramanian, PK; Onyema EM; Gan, HS; and Uchechi, AQ. Super learner model for classifying leukemia through gene expression monitoring. Discover Oncology (Springer) 15, 499 (2024).

Shankar GS, Onyema EM, Kavin BP, Gude V, Prasad BS. Breast Cancer Diagnosis Using Virtualization and Extreme Learning Algorithm Based on Deep Feed Forward Networks. Biomedical Engineering and Computational Biology. 2024;15.

M. Sucharitha, R Thomas, B. Jyothi, EM Onyema, G Bekele. Design and Fabrication of Metallic-Conductive Polymer-Based Hybrid Film Interconnections for Stretchable Electronic Devices. International Journal of Polymer Science, vol. 2023, Article ID 1392115, 8 pages.

Ruby B, Onyema, EM, Khalid KA, Celestine I, Shahab SB, Tripti S, Amir M (2022). Assessment of Dynamic Swarm Heterogeneous Clustering in Cognitive Radio Sensor Networks. Wireless Communication and Mobile Computing, Volume 2022, Article ID 7359210, 1-15.

Onyema, EM; Almuzaini, KK; Onu, FU; Verma, D; Gregory, US; Puttaramaiah, M; Afriyie, RK (2022). Prospects and Challenges of Using Machine Learning for Academic Forecasting. Hindawi Computational Intelligence and Neuroscience, Volume 2022, Article ID 5624475, 1-7.

Surjeet, D; Pallavi, G; EM Onyema; Adnan, A; Amena, M; Majed, A.A; Halifa, A (2023). Application of Machine Learning for Cardiovascular Disease Risk Prediction. Computational Intelligence and Neuroscience, Vol. 2023, Article ID 9418666.

Onyema, EM; Tariq, A.A; Ghouali, S; Manish S; Manish, M; Guellil, M.S; Daniel, K (2022). Empirical Analysis of Apnea Syndrome Using an Artificial Intelligence-Based Granger Panel Model Approach. Computational Intelligence and Neuroscience, Vol. 2022, Article ID 7969389, 1-7.

Kumar MA, Onyema EM, Sundaravadivazhagan B, Manish G, Achyut S, Venkataramaiah G, Nagendar Y. Detection and mitigation of few control plane attacks in software defined network environments using deep learning algorithm. Concurrency Computation Practice Experience. 2024;e8256.

Shweta K, Onyema, EM, Aasim Z, Wajid M.A, Rockson K.A, Tripti S, Sunita S (2022). Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets. Hindawi Computational Intelligence and Neuroscience, Volume 2022, Article ID 3813705, 1-8.

Onyema, EM; Ghouali, S; Sharma, A; Amina, AD; Mohammed, SG (2022). Cluster Analysis for Automatic Vehicle Counting Management System for Road Traffic Network. Futuristic Trends for Sustainable Ecosystem Proceedings of the Multidisciplinary International Conference on Futuristic Trends for Sustainable Ecosystem (FTSE 2021).

Onyema, EM, Nwafor, CE, Ugboaja, SG, Nneka, ER, Akindutire, OR, Emmanuel, CE, Ifeoma, U (2023). Chapter 11. Application of Mobile Technologies in Healthcare During Coronavirus Pandemic Lockdown. Future Health Scenarios, Taylor and Francis. Page 193-206.

Tien Anh Tran, Edeh Michael Onyema, Arij Naser Abougreen (October 4, 2024). Leveraging the Potential of Artificial Intelligence in the Real World: Smart Cities and Healthcare. 1st Edition, Taylor and Francis. ISBN 9781032667485

S. Ghouali, EM Onyema; MS. Guellil; M A. Wajid; O. Clare; W. Cherifi; M. Feham (2022). Artificial Intelligence-Based Teleophthalmology Application for Diagnosis of Diabetics Retinopathy. IEEE Open Journal of Engineering in Medicine and Biology, 3 (2022) 124-133.

S. Ghouali, EM Onyema; MS. Guellil; M A. Wajid; O. Clare; W. Cherifi; M. Feham (2022). Artificial Intelligence-Based Teleophthalmology Application for Diagnosis of Diabetics Retinopathy. IEEE Open Journal.

Guellil M.S., M. Hadj Ahmed, S. Ghouali, M. Belmokaddem, M. Benbouziane and E.M. Onyema (2022). Algerian Strategy Planning on Workforce Allocation between Sectors at the 2030 Horizon Using Fuzzy Goal Programming Approach. 2022 International Conference on Decision Aid Sciences and Applications (DASA), IEEE.

Chhabra, G.; Onyema, E.M.; Kumar, S.; Goutham, M.; Mandapati, S.; Iwendi, C. Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing. Electronics 2022, 11, 4059.

Onyema, E.M; Kumar, MA; Balasubaramanian, S; Bharany, S; Rehman, AU; Eldin, ET; Shafiq, M. (2022). A Security Policy Protocol for Detection and Prevention of Internet Control Message Protocol Attacks in Software Defined Networks. Sustainability, 14(19):11950.

Onyema, EM, Sharanya S, Karthikeyan S, Prabukavin B, and Annamalai, DA. (2025). "A data-driven framework for future healthcare diagnosis through predictive analytics". Drug Discovery and Telemedicine: Through Artificial Intelligence, Computer Vision, and IoT, De Gruyter, 2025, pp. 59-70.

Tran, T.A., Onyema, E.M., & Abougreen, A.N. (Eds.). (2024). Leveraging the Potential of Artificial Intelligence in the Real World: Smart Cities and Healthcare (1st ed.). CRC Press. ISBN 9781032667485

Sheth, R., Ouaissa, M., Ouaissa, M., Onyema, E.M., & Parekha, C. (Eds.). (2025). Defending the Metaverse: Cybersecurity Strategies for the Next Generation Internet (1st ed.). CRC Press.

Sbai, A., Khan, M., Dutta, P., Davim, J., & Onyema, EM. (Eds.). (2025). Transformative Role of Transformer Models in Healthcare. IGI Global.

Dalal, S., Onyema, E.M., Romero, C., Ndufeiya-Kumasi, L., Maryann, D., Nnedimkpa, A., Bhatia, T. (2022). Machine learning-based forecasting of potability of drinking water through adaptive boosting model. Open Chemistry, 20(1), 816-828.

H Singh, EM Onyema, S Mahajan, AK Pandit (2023). Synthetic aperture radar communication. Proceedings of The 4th International Computer Sciences and Informatics Conference (ICSIC 2022).

Onyema EM (2023). A bibliometric analysis on soil salinity sensor. AIP Conference Proceedings 2535, 020010. India.

Jegan, R., Vijayakumar, P., Ambethkumar, V. D., Vijay, Pa and Onyema, EM (2023). Encryption and decryption of a word into weighted graph using super-edge anti-magic total labeling of Bi-star graph. Journal of Discrete Mathematical Sciences and Cryptography, 26:5, 1355–1365.

Onyema, EM; Anichebe, GE; Richard-Nnabu, NE; Udeh, CC; Ikechukwu, FJ; Ugboaja, S.G; Chinecherem, DE. (2024). ChatGPT Application in Educational Setting: Benefits and Drawback. Tropical Journal of Applied Natural Science, 2 (3), 1-14.

Ugboaja, S.G; Onyema, EM; Madubuezi, C.O; Anichebe, GE; Udeh, CC; Ogbuoka, OM (2024). Advanced Diabetes Prediction using Supervised Machine Learning Technique: Random Forest. Tropical Journal of Applied Natural Science, 2 (3), 1-14.

Edeh M.O; Ugboaja, S.G; Ugwuja, N.E; Igwe, J.S; Daniel, I.E; Richard-Nnabu, N.E (2022). Smartphone Usage among Computer Science Students in Higher Education during Covid-19 Lockdown. Journal of Computer Science and its Application (Nigeria Computer Society), 29 (2), 20-26.

Onyema, E.M; A. Sharma., C.E, Nwafor., A.G. Fyneface., S, Sen., E.C. Edeh (2020). Impact of Emerging Technologies on the Job Performance of Educators in Selected Tertiary Institutions in Nigeria. The Journal of Computer Science and its Applications (Nigerian Computer Society), 27 (1), 52-62.

Onyema, E.M; Eucharia, A. U; Gbenga, F. S; Roselyn, A. O; Daniel,O and Kingsley ,N. U .(2020). Pedagogical Use of Mobile Technologies During Coronavirus School Closure. The Journal of Computer Science and its Applications, 27 (2), 97-110.

Onyema, EM; Ugwuja, NE; Charles, CO; Umoke, CC; Madubuezi, CO; Njoku, JO; and Richard-Nnabu, NE Victor, UE (2024). The Role of Emerging Technologies in Academic Career Development. Babcock University Journal of Education, 10 (1), 15-31.

Onyema, EM; Chinecherem, DE; Ugboaja SG; Ezemoyih, CM; Madubuezi, CO; Richard-Nnabu, NE (2023). Utility and Perception of Mobile Technology among Law Students in Enugu Nigeria. Babcock University Journal of Education, 9 (3), 56-71.

Abdullahi, I; Hauwa, A.A; Hayatu, A.S; Onyema, E.M (2020). An Improved Android-Based Real Estate App. International Journal of Novel Research and Development (IJNRD), 5 (3), 281-287.

Neeraj, D; Onyema EM; Venkataramaiah, G; Neetu F; Gaytri, D; Reenu, B.(2025). Development of an Intelligent System for Enhanced Maintenance of Automobiles using Machine Learning. Scalable Computing: Practice and Experience, 26 (5), 2145–2164.

Onyema, E.M; Edeh, C.D; Alhuseen, O.A; Quadri, N.N; and Sumaya, S. (2019). Online Discussion Forum as a Tool for Interactive Learning and Communication. International Journal of Recent Technology and Engineering (IJRTE),8(4),4852-4859.

Onyema, E.M; Eucheria, N.C; Ezeanya, C.U; Eziokwu, P.N; Ani, U.E. (2020d). Impact of E-learning Platforms on Students’ Interest and Academic Achievement in data Structure Course. Coal City University Journal of Science, 1(1), 1-16. ISSN: 2734-3758(Print), 2734-3766 (Online).

Onyema, E.M; Nwafor, C.E; Faith, A.O; Shuvro, S; Fyneface, G.A; Aabha, S; A.O. (2020). Impact of Coronavirus Pandemic on Education. Journal of Education and Practice, 11 (13), 108-121.

Obafemi, FA, Olabode, HOK and Edeh, M.O. (2021). Appraisal of Public Opinions Towards Potential COVID-19 Vaccination in FCT-Abuja Nigeria. University of Ilorin Nigerian Journal of Pure & Applied Science, 34 (), 3962-3972.

Sen, Shuvro and Ahmed, Fahad and Shahriar, Shihab Ahmad and Antara, Neel and Sen, Shusmita and Edeh, Michael Onyema and Chowdhury, Sunny, Potential Public Health Threats to Ready Made Garments (RMG) Workers During COVID -19 in Bangladesh: A Call for Actions (August 1, 2020).

Onyema, E.M; Elhaj, M.A.E; Bashir, S.G; Abdullahi, I; Hauwa, A.A; Hayatu, A.S. (2020). Evaluation of the Performance of K-Nearest Neighbor Algorithm in Determining Student Learning Styles. Int. J. of Innovative Sci., Eng. & Techn., 7 (1), 91-102. ISSN(Online) 2348- 7968.

L.MA; Rajiv.KG; Onyema, E.M (2022). Optimization of Intelligent Network Information Management System under Big Data and Cloud Computing. Scalable Computing: Practice and Experience, 23 (3), 91–101.