Dr. S S V R Kumar Addagarla, Enrolled on Dec-2017, Research Area: Recommendation Systems, Status: Completed on 21-Sep-2021.
Mr. Kiran Kumar M, Enrolled on Dec-2017, Research Areas: Machine Learning and Medical Imaging Status: In Progress.
Mr. Aravindhan Manivannan, Enrolled on Dec-2022 Research Areas: Machine Learning and Medical Imaging Status: Started.
Kumar, M.K. and Amalanathan, A., 2022. Automated Lung Nodule Detection in CT Images by Optimized
CNN: Impact of Improved Whale Optimization Algorithm. Computer Assisted Methods in Engineering and
Science, 29(1–2), pp.7-31.
Addagarla, S.K. and Amalanathan, A., 2021. Single Stage Deep Transfer Learning Model for Apparel
Detection and Classification for E-Commerce. International Journal of Electronic Commerce Studies,
Addagarla, S.K. and Amalanathan, A., 2021. e-SimNet: a visual similar product recommender system for
E-commerce. Indonesian Journal of Electrical Engineering and Computer Science, 22(1), pp.563-570.
Addagarla, S.K. and Amalanathan, A., 2020. Probabilistic Unsupervised Machine Learning Approach for
a Similar Image Recommender System for E-Commerce. Symmetry, 12(11), p.1783.
Addagarla, S.K. and Amalanathan, A., 2019. A survey on comprehensive trends in recommendation
systems & applications. International Journal of Electronic Commerce Studies, 10(1), pp.65-88.
Amalanathan, Anthoniraj, S. Margret Anouncia, and Uffe Kock Wiil. "Emotion-Based Content
Personalization in Social Networks." Journal of Information and Organizational Sciences 42, no. 1
Vairamuthu, Subbiah, Amalanathan Anthoniraj, S. Margret Anouncia, and Uffe Kock Wiil. "User
Interface Design Recommendations Through Multi-Criteria Decision Analysis." In Knowledge Computing and
Its Applications, pp. 269-293. Springer, Singapore, 2018.
Amalanathan, Anthoniraj, and S. Margret Anouncia. "Influence of human emotion expressed through
social networks in viral marketing." International Journal of Business Information Systems 26, no. 1