Publications

Abdullah A A S, M S Bhargavi and Pavan Kumar C, "FedWAPR: Enhancing Federated Learning with Weighted Aggregation via Probability-based Ranking", Vol. 723, Information Sciences, Elsevier. 2025 DOI: https://doi.org/10.1016/j.ins.2025.122697

Aastha Jain, Tanushree Jha, Madhumitha S G, Anusha S, M S Bhargavi, “FEdRank:  Federated Learning for Collaborative Institutional Ranking based on Student Performance”, IEEE International Conference on Contemporary Computing and Communications (InC4), 2025 DOI: https://doi.org/10.1109/InC465408.2025.11256237

Chaya V, Ashika K, Chandana C, M S Bhargavi, "Automated Generation of Mind map from Textual Data", Book Chapter in Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI, Taylor & Francis, 2024, DOI:  https://doi.org/10.1201/9781003485698-11

Pranjal S, Prakrithi H, Javeeria M, Saaima N, M S Bhargavi, "Integrating Retrieval and Language Models for Enhanced User Query-based Question Answering and Question Generation", Under Review. Book Chapter in Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI, Taylor & Francis, 2024, DOI: https://doi.org/10.1201/9781003485698-12

Aishitha V, Ananya Naik, Eram Nadiya, Esha P, M S Bhargavi, “ARTPredict: An Interpretable Dual-Branch LSTM Model with Attention Mechanism for Antiretroviral Therapy Response Prediction in HIV Treatment”, 6th IEEE International Conference on Data Intelligence and Cognitive Informatics, 2025, DOI: https://doi.org/10.1109/ICDICI66477.2025.11135133

B Srinidhi, M S Bhargavi, "Explainable AI for Pancreatic Cancer Prediction and Survival Prognosis: An Interpretable Deep Learning and Machine Learning Approach", Vol. 48, Issue 4, pp. 623-640, Informatica, 2025 DOI: https://doi.org/10.31449/inf.v48i4.5151

Ashwini C, J Manish, M S Bhargavi, Pavan Kumar C, "Fourier Feature Extraction with Ensemble Approach for Image based Malware Classification", IEEE 17th International Conference on COMmunication Systems and NETworks (COMSNETS), Bengaluru, pp. 150-155, IEEE, 2025, DOI: https://doi.org/10.1109/COMSNETS63942.2025.10885739 

Supritha K, Sanchit S, Manavi J, Vachana U, M S Bhargavi "Advancing Pediatric Appendicitis Diagnosis: Harnessing CNN and Hybrid Models with Ultrasound Imaging",  IEEE International Conference on Pervasive Computational Technologies, pp. 819-824, Greater Noida, 2025, DOI: https://doi.org/10.1109/ICPCT64145.2025.10940566

Ashish Ankam, Yashas M. B, Srujan V, S. Desai and M. S. Bhargavi, "TV-L1 Optical Flow based Hierarchical Transformer Network for Micro-Expression Recognition," 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, 2025, pp. 1356-1361, DOI: 10.1109/ICPCSN65854.2025.11035737. 

Kruthi N Raj, M S Bhargavi, Interpreting Transfer Learning-based Convolutional Neural Networks for COVID-19 Detection in CT Scan Images, Sixth International Conference on Advanced Informatics for Computing Research, Advanced Informatics for Computing Research, Communications in Computer and Information Science, vol 2073. Springer, Cham, 2025. DOI: https://doi.org/10.1007/978-3-031-84059-3_17

Tarunkumar K, Aditya U, Maithri H, Sohan B S, M S Bhargavi, "Exploring the Efficacy of Deep Learning and Statistical Approaches in Temperature Forecasting", IEEE International Conference on Emerging Technologies & Innovation for Sustainability, pp. 419-424, Noida, 2024, DOI: https://doi.org/10.1109/EmergIN63207.2024.10961791

Tanushree Jha, M Sirisha, MS Bhargavi, "Ovulytics: A Machine Learning Approach for Precision Diagnosis of PCOD, PCOD and Infertility", IEEE First International Conference for Women in Computing (InCoWoCo), Pune, India, pp. 1-7, IEEE, 2024,  DOI: 10.1109/InCoWoCo64194.2024.10863513

Devika U H, Disha K S, Gayathri R, Deeksha D, M S Bhargavi, "Solar Spectrum – Understanding Solar Activity Patterns Within a Solar Cycle Using Machine Learning Techniques", IEEE 2nd World Conference on Communication and Computing, Raipur, 2024, pp. 1-6, DOI: 10.1109/WCONF61366.2024.10692029 

M Abdullah, K Akash, B Vidhathri, M Abdul, M S Bhargavi, "Label Flipping Attacks on Federated Learning: GAN-Based Poisoning and Countermeasures, IEEE 2nd International Conference on Data Science and Network Security, Tiptur, 2024, pp. 1-6, DOI: 10.1109/ICDSNS62112.2024.10690919 

M S Bhargavi, Hemavathi P, Chowdam Jaganath and Kilari Narendra, Unlocking the Potential of Machine Learning for Enhanced Security in Drone-enabled IoT Networks, Book Chapter in Machine Learning for Drone-Enabled IoT Networks: Opportunities, Developments, and Trends, Springer Nature, 2024 (Accepted)

Dhrithi A T, Nishit K, M S Bhargavi, Driving Sustainability using Big Data Analytics, IEEE ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 2024, pp. 258-262, DOI: 10.1109/ICETSIS61505.2024.10459428. 

Pavithra L S, Hithaishi R, M S Bhargavi, Harnessing Machine Learning for Accurate Corn Leaf Disease Classification, IEEE International Conference on Trends in Engineering Systems and Technologies, Kerala, 2024, pp. 1-6, doi: 10.1109/ICTEST60614.2024.10576141

Rachita E, M S Bhargavi, "Advancements in Personalized Federated Learning for Epileptic Seizure Detection",  In Proceedings of the 1st International Conference on Cognitive & Cloud Computing - IC3Com, 2024, SciTePress, pages 222-231. DOI: 10.5220/0013311500004646

Abdullah A A S, M S Bhargavi, Fundamental Theory of Federated Learning, Protocols and Enabling Technologies for Healthcare, Book Chapter, Federated Learning and its Application in the Healthcare Industry, World Scientific, June 2024, DOI: https://doi.org/10.1142/13722  

Pavithra L S, Hithaishi R, M S Bhargavi, Harnessing Machine Learning for Accurate Corn Leaf Disease Classification, IEEE International Conference on Trends in Engineering Systems and Technologies, Kerala, 2024, pp. 1-6, 10.1109/ICTEST60614.2024.10576141 

Kruthi N Raj, M S Bhargavi, Interpreting Transfer Learning-based Convolutional Neural Networks for COVID-19 Detection in CT Scan Images, Sixth International Conference on Advanced Informatics for Computing Research, Springer, 2024 (Accepted and Presented)   

Abdullah A A S, M.S. Bhargavi, Ganesh R. Naik, Unraveling the complexities of pathological voice through saliency analysis, Computers in Biology and Medicine, Vol. 166, 107566, Elsevier, 2023 ISSN 0010-4825, DOI: https://doi.org/10.1016/j.compbiomed.2023.107566.

Abdullah A S S, M S Bhargavi and Pavan Kumar C, Weighted aggregation through probability based ranking: An Optimised Federated Learning Architecture to Classify Respiratory Diseases, Computer Methods and Programs in Biomedicine, Vol. 242, 107821, Elsevier, 2023  DOI: https://doi.org/10.1016/j.cmpb.2023.107821

Srinidhi B and M S Bhargavi, An XAI Approach to Predictive Analytics of Pancreatic Cancer, 11th IEEE International Conference on Information Technology, Amman, Jordan DOI: 10.1109/ICIT58056.2023.10225991 

Abdullah A A S, M S Bhargavi and Pavan Kumar C, An Optimized Darknet Traffic Detection System using Modified Locally Connected CNN – BiLSTM Network, International Journal of Ad Hoc and Ubiquitous Computing, Vol 45, Issue 2, pp 85-96, Inderscience, 2023  DOI: https://doi.org/10.1504/IJAHUC.2022.10051751 

Ram Krishna Jha, Parvez Alam, Nitin Priyadarshi, Mohammad Asad Ghazi, M S Bhargavi, Counterfeit Drug Prevention in Pharma Supply Chain Using Blockchain Technology, 3rd IEEE International Conference on Intelligent Communication and Computational Techniques, Jaipur, 2023, DOI: https://ieeexplore.ieee.org/document/10076043/ 

Bharani Prabhakar and M S Bhargavi, A Machine Learning Model to Identify Best Blood Plasma Proteins for Early Detection of  Alzheimer’s Disease, 4th IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications, Goa, 2022, DOI: 10.1109/ICCCMLA56841.2022.9989117 

M S Bhargavi and Bharani Prabhakar, Deep Learning Approaches for Early Detection of Alzheimer’s Disease using MRI Neuroimaging, IEEE International Conference on Connected Systems and Intelligence, Trivandrum, Kerala, 2022, DOI: 10.1109/CSI54720.2022.9924058 

Sai Kishore, M S Bhargavi, Pavan Kumar, Classification of Covid-19 and Pneumonia X-ray Images Using a Transfer Learning Approach, IEEE Region10 Symposium, Republic of Korea, pp. 1-6, 2021, DOI: 10.1109/TENSYMP52854.2021.9550878

Tushar S, M S Bhargavi, Hemavathi P, Coalescence of Artificial Intelligence with Blockchain: A Survey on Analytics over Blockchain Data in Different Sectors, Emerging Technologies in Data Mining, Advances in Intelligent Systems and Computing Series, Vol 1286, pp 703-711 , Springer, 2021, DOI: https://doi.org/10.1007/978-981-15-9927-9_68 

M  S Bhargavi, Sushmitha S, Shilpa M, Vaishnavi K, Supraja P, Transactional Data Analytics for Inferring Behavioural Traits in Ethereum Blockchain Network, IEEE 16th International Conference on Intelligent Computer Communication and Processing, Cluj-napoca, Romania, 2020, DOI: 10.1109/ICCP51029.2020.9266176

Sreeraksha M S, Bhargavi M S, A Comparative Study of Machine Learning Models for Stock Market Rate Prediction, International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.1021-1025, 2019, DOI: https://doi.org/10.26438/ijcse/v7i6.985990 

M S Bhargavi and Sahana D. Gowda, Cluster Representation and Discrimination based on Regression Line, Cognitive Computing and Information Processing, Communications in Computer and Information Science, Volume 801, Pages 210-226, Springer, 2017, DOI: https://doi.org/10.1007/978-981-10-9059-2_20 

M S Bhargavi and Sahana D. Gowda, A Novel Validity Index with Dynamic Cut-off for Determining True Clusters, Pattern Recognition, Volume 48, Issue 11, Pages 3673-3687, Elsevier Science Inc, NY, USA, 2015, Impact Factor: 7.19 , H-Index: 195, ISSN  0031-3203, DOI: https://doi.org/10.1007/978-81-322-2208-8_51

M.S Bhargavi, M. Ashwini Kumari and Sahana D. Gowda,  Detection of Outliers in an Unsupervised Environment, Computational Intelligence in Data Mining-Volume 2, Smart Innovation, Systems and Technologies, Volume 32, Pages 563-573, Springer, 2015, DOI: https://doi.org/10.1016/j.patcog.2015.04.023 

Bhargavi M.S and Sahana D. Gowda, An Hybrid Validity Index for Dynamic Cut-off in Hierarchical Agglomerative Clustering, IEEE International Conference on Advances in Computing, Communications and Informatics, Pages 2205-2211, Delhi, 2014, DOI: https://doi.org/10.1109/ICACCI.2014.6968593