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Dr.Mohammad Riyaz
Published Papers
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Supervised Master Thesis
Sakthivel, S., Belgaum, M. R., Sajak, A. A. B., Alam, M. M., & Su’ud, M. M. (2025). Machine learning-driven QoT prediction for enhanced optical networks in DWDM system. IEEE Access.
Sakthivel, S., Alam, M. M., Sajak, A. A. B., Su’ud, M. M., & Belgaum, M. R. (2024). Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation. IEEE Access, 12, 190650-190665.
Sakthivel, S., Mansoor Alam, M., Abu Bakar Sajak, A., Mohd Su'ud, M., & Riyaz Belgaum, M. (2024). Review of compensation and dispersion techniques for fiber optic lightpath networks. International Journal of Computing and Digital Systems, 16(1), 753-767.
Belgaum, M. R., Musa, S., Ali, F., Alam, M. M., Alansari, Z., Soomro, S., & Su’ud, M. M. (2023). Self-socio adaptive reliable particle swarm optimization load balancing in software-defined networking. IEEE Access, 11, 101666-101677.
Belgaum, M. R., Charitha, T. H., Harini, M., Anusha, B., Sai, A. J., Yadav, U. C., & Alansari, Z. (2023). Enhancing the efficiency of diabetes prediction through training and classification using PCA and LR model. Annals of Emerging Technologies in Computing (AETiC), 7(3), 78-91.
Alansari, Z., Anuar, N. B., Kamsin, A., & Belgaum, M. R. (2023). RPLAD3: anomaly detection of blackhole, grayhole, and selective forwarding attacks in wireless sensor network-based Internet of Things. PeerJ Computer Science, 9, e1309.
Alansari, Z., Anuar, N. B., Kamsin, A., & Belgaum, M. R. (2022). A systematic review of routing attacks detection in wireless sensor networks. PeerJ Computer Science, 8, e1135.
Belgaum, M. R., Ali, F., Alansari, Z., Musa, S., Alam, M. M., & Mazliham, M. S. (2022). Artificial intelligence based reliable load balancing framework in software-defined networks. Computers, Materials, & Continua, 70(1), 251.
Belgaum, M. R., Alansari, Z., Musa, S., Alam, M. M., & Mazliham, M. S. (2021). Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues. International Journal of Electrical and Computer Engineering, 11(5), 4458.
Belgaum, M. R., Alansari, Z., Musa, S., Alam, M. M., & Mazliham, M. S. (2021). Impact of artificial intelligence-enabled software-defined networks in infrastructure and operations: Trends and challenges. International Journal of Advanced Computer Science and Applications, 12(1).
Belgaum, M. R., Musa, S., Alam, M. M., & Su’ud, M. M. (2020). A systematic review of load balancing techniques in software-defined networking. Ieee Access, 8, 98612-98636.
Belgaum, M. R., Musa, S., Mazliham, M. S., & Alam, M. (2019). A behavioral study of task scheduling algorithms in cloud computing. International Journal of Advanced Computer Science and Applications, 10(7).
Belgaum, M. R., Musa, S., Su’ud, M., Alam, M., Soomro, S., & Alansari, Z. (2019). Secured Approach towards Reactive Routing Protocols Using Triple Factor in Mobile Ad Hoc Networks. Annals of Emerging Technologies in Computing (AETiC), 3(2).
Belgaum, M. R., Soomro, S., Alansari, Z., & Alam, M. (2017). Ideal Node Enquiry Search Algorithm (INESH) in MANETS. Annals of Emerging Technologies in Computing (AETiC), 1(1).
Belgaum, M. R., Soomro, S., Alansari, Z., & Alam, M. (2016). Treatment of Reactive Routing Protocols Using Second Chance Based on Malicious behavior of Nodes in MANETS. Pakistan Journal of Engineering Technology & Science, 6(2).
Belgaum, M. R., Ali, A., Uzair, M., Enterprise, M. I., Alansari, Z., & Soomro, S. (2025, April). Role of Artificial Intelligence in Digital Transformation for Enhancing Cybersecurity. In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS) (pp. 1-6). IEEE.
Alansari, Z., & Belgaum, M. R. (2024, August). Enhancing Wireless Sensor Network Security: A Markov Chain-Based Trust Management Algorithm. In International Conference for Emerging Technologies in Computing (pp. 254-268). Cham: Springer Nature Switzerland
Belgaum, M. R., Suresh, K., Tharun, M., Sreenivasulu, N., & Satyanarayana, C. V. (2024, July). Comparative Analysis of Detecting Anomalies in Real-Time Streaming Data. In International Conference on Data Science and Applications (pp. 489-502). Singapore: Springer Nature Singapore
Belgaum, M. R., Rodras, S., Sugali, S., Sriya, T. H., & Soomro, S. (2024, July). Framework for Detection of Cervical Cancer Using Explainable Artificial Intelligence Model. In International Conference on Data Science and Applications (pp. 237-248). Singapore: Springer Nature Singapore
Belgaum, M. R., Viswanath, E. K., Chakradhar, P., Goud, E. C. K., & Chandu, K. (2024, July). Comparative analysis of Start-up Success Rate Prediction Using Machine Learning Techniques. In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) (pp. 1-6). IEEE.
Belgaum, M. R., Pothureddy, P., Patnam, S. S., & Gadda, P. D. (2024, July). A Novel Framework for Preserving Patient Health Record in IoT Healthcare. In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) (pp. 1-5). IEEE.
Belgaum, M. R., Reddy, A. D. K., Kumar, A. D., & Kumar, K. D. (2024, June). Prediction of Long-Lasting Disease Using Machine Learning and Explainable AI. In International Conference on Advanced Computing and Systems (pp. 203-215). Singapore: Springer Nature Singapore
Ahmed, S. S., Alansari, Z., & Belgaum, M. R. (2024, February). Detecting Routing Attacks in WSN: A Novel Cartesian Product-Based Method. In 2024 Arab ICT Conference (AICTC) (pp. 67-72). IEEE.
Belgaum, M. R., Sowmya, K., Sireesha, K., Priyanka, T. T., & Vyshnavi, U. U. (2023, April). Hand Sign Detection and Voice Conversion for the Hearing and Speech Impaired Using Convolutional Neural Networks. In International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (pp. 679-688). Singapore: Springer Nature Singapore.
Belgaum, M. R., Momina, S. M., Farhath, L. N., Nikhitha, K., & Naga Jyothi, K. (2023, June). Development of IoT-healthcare model for gastric cancer from pathological images. In International Conference on Mining Intelligence and Knowledge Exploration (pp. 193-201). Cham: Springer Nature Switzerland.
Swathi, B., Kumar, M. R., Belgaum, M. R., & Alansari, Z. (2022, December). Emotion Recognition Using Bayesian Learning from a Multi-Label Data Corpus. In 2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA) (pp. 17-22). IEEE.
Alansari, Z., Anuar, N. B., Belgaum, M. R., & Soomro, S. (2020, September). Design of wireless sensor network in the agricultural sector. In IET Conference Proceedings CP777 (Vol. 2020, No. 6, pp. 589-594). Stevenage, UK: The Institution of Engineering and Technology.
Alansari, Z., Anuar, N. B., Kamsin, A., Belgaum, M. R., & Soomro, S. (2020, August). Quality of service in wireless sensor networks using cellular learning automata. In 2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE) (pp. 15-20). IEEE.
M. R. Belgaum, S. Musa, M. Alam and M. S. Mazliham, "Integration challenges of Artificial Intelligence in Cloud Computing, Internet of Things and Software-defined networking," 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2019, pp. 1-5, doi: 10.1109/MACS48846.2019.9024828.
Alansari Z., Soomro S., Belgaum M.R. (2019) Smart Airports: Review and Open Research Issues. In: Miraz M., Excell P., Ware A., Soomro S., Ali M. (eds) Emerging Technologies in Computing. iCETiC 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 285. Springer, Cham.
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