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Kumudham, R and Vignesh., G and Sibiraj., S and Jaya, T. and Monisha., M and Suvetha, G (2025) Gradient Boosting Techniques for Analyzing DDoS Attacks in IoT Networks. In: 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), Tirunelveli, India.

Monisha, M. and ILLURU, RAJASEKHAR (2026) Absolute Valued Message Passing-Based PAPR Reduction in OTFS under Fading Channel Conditions. In: IEEE International Conference on Advanced Computing Technologies (ICACT).

Monisha, M and ILLURU, RAJASEKHAR (2025) A Novel Adaptive Extreme Learning Machine for Traffic Prediction and Multipath Routing Framework in Software Defined Networks With Hybrid Optimization Approach for Smart Hotel Applications. Transactions on Emerging Telecommunications Technologies.

Mani Kumar Reddy, M. and Monisha, M. (2025) Enhancing Spectrum Awareness in Cellular Networks Through Deep Learning Approaches for Efficient 5G-NR and LTE Signal Classification. ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2026 Published by Springer Nature Switzerland AG 2026., 620. pp. 267-276. ISSN 1867-8211

Monisha, M. (2025) Remaining Useful Life Prediction of EV Lithium-Ion Batteries Using TG-AMF Enhanced MTS-BiLSTM Optimized with Walrus Algorithm. International Journal of Electrical and Electronics Research (IJEER). ISSN e-ISSN: 2347-470X Website:

Vijayalakshmi, P. and Monisha, M. and Rajendran, V. and B, Shiny (2026) Analysis for SNR Reduction in Underwater Acoustic Communication Using Real and Complex Wavelets. In: Artificial Intelligence for the Oceans. Springer Nature, pp. 626-642.

Monisha, M. (2026) Smart TPOT-Based AutoML-Powered Android Malware Detection and Classification. International Journal of Engineering Trends and Technology.

Monisha, M. and Rajendran, V. (2022) SCAN-CogRSG: Secure Channel Allocation by Dynamic Cluster Switching for Cognitive Radio Enabled Smart Grid Communications. IETE Journal of Research, 68 (4). pp. 2826-2847. ISSN 0377-2063

Devi, V. and Monisha, M. and Meena, M. and Ganesh, E. N. and Ramya, R. and Thirukkumaran, T. (2022) Detection and sensing of cognitive radio spectrum using minimum eigen value and TW distribution method. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Monisha, M. and Sowndharya, S. and Sabarish, P.S. (2021) Adaptive Threshold Approach to Address the Security Issues in CRN. In: 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Reddy, M. Mani Kumar and Monisha, M. (2023) Enhanced Deep Learning Architectures for Spectrum Sensing in Cellular Networks. In: 2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India.

Sudhakar Reddy, Mandeddu and Monisha, M. and UNSPECIFIED1 (2023) A Survey on Battery State of Charge and State of Health Estimation Using Machine Learning and Deep Learning Techniques. pp. 355-367.

Monisha, M. and Sharanya, C. and Meena, M. and Rajendran, V. (2018) Investigation of Various Techniques of Spectrum Sensing for Power Detection in Cognitive Radio. International Journal of Engineering & Technology, 7 (3.27). p. 435. ISSN 2227-524X

M, Meena and Monisha, M. and C, Sharanya and Rajendran, V. (2018) Modeling of cognitive radio system for the improvement of spectrum utilization. International Journal of Engineering & Technology, 7 (3.3). p. 231. ISSN 2227-524X

Monisha, M. and Vijayalakshmi, P. and Gokulakkannan, S and Ajayraman, M (2024) A gradient and double threshold-based algorithm for improved wideband spectrum sensing. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Jaya, T. and Vijayalakshmi, P. and Monisha, M. and Madona B, Sahaai and Akash, S. and Samu, V. (2025) 5G Base Station Power Consumption Using Machine Learning. In: 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.