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AIML
M.S., G. P., H.N., N. K., Jain, A. K., Syed, J., & Baig, R. U. (2025). Convergence of improved particle swarm optimization based ensemble model and explainable AI for the accurate detection of food adulteration in red chilli powder. Journal of Food Composition and Analysis, 143, 107577+. https://doi.org/10.1016/j.jfca.2025.107577 (Original work published)
Prema, S., Varalatchoumy, M., Nirmaladevi, G., Vijayakumar, S., Kayalvili, S., Rajendiran, M., … Vijayan, V. (2024). Advancements in machine learning for recommender systems: A focus on NNMFC and particle swarm optimization techniques. American Institute of Physics. https://doi.org/10.1063/5.0235519
Maheswari, P., Raja, P., Karkee, M., Raja, M., Baig, R., Trung, K., & Hoang, V. (2025). Performance analysis of modified DeepLabv3+ architecture for fruit detection and localization in apple orchards. Smart Agricultural Technology, 10. https://doi.org/10.1016/j.atech.2024.100729
Raj, R. S., Babu, A., Josephine, V. H., Varalatchoumy, M., & Kathirvel, C. (2022). Implementing Multiclass Classification to find the Optimal Machine Learning Model for Forecasting Malicious URLs. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCMC53470.2022.9754005
Rajani, K., Aishwarya, P., & Manjunath, S. (2022). Friendly Group Architecture for Securely Promoting Selfish Node Cooperation in Wireless Ad-hoc Network. International Journal of Advanced Computer Science and Applications, 13(12), 521-527,. https://doi.org/10.14569/IJACSA.2022.0131263
Aaditya, P., Manu, R., Asif, M., Jayanthi, M., & Kannadaguli, P. (2023). Comparative Analysis of Random Forest and CNN for Surgery Mortality Prediction. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NMITCON58196.2023.10276379
Rajani, K., Manjunatha, S., Rakesh, V., & Bhavana, P. (2023). Relational Model and Improvised DSR Assisted Framework for Secure Wireless Communication. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-40564-8_3
Nagaraj, T., & Channarayappa, R. (2024). An efficient security framework for intrusion detection and prevention in internet-of-things using machine learning technique. International Journal of Electrical and Computer Engineering, 14(2), 2313-2321,. https://doi.org/10.11591/ijece.v14i2.pp2313-2321
Akash, V., Sai, M., Amith, K., Jayanthi, M., & Kannadaguli, P. (2023). Lung Nodule Segmentation and Classification Using Conv-Unet Based Deep Learning. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NMITCON58196.2023.10276037
