Publications

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  • Patidar, P. K. , Shiwani, S. , & Garg, S. . (2027). Explainable hybrid consensus feature selection with VIF-Controlled multicollinearity for Voice-Based diabetes prediction. Biomedical Signal Processing and Control, 129, 111393. Elsevier.
  • Thangaraj, K. , Rao, K. S. , Saikumar, K. , & Garg, S. . (2026). A software-defined wrapper discriminant federated learning-reinforcement attention adversarial regression approach for privacy and task management in cloud edge computing. Knowledge-Based Systems, 115430. Elsevier.
  • Abgeena, A. , & Garg, S. . (2025). Unravelling emotions: exploring deep learning approaches for EEG-based emotion recognition with current challenges and future recommendations. Cognitive Neurodynamics, 19(1), 168. Springer Netherlands Dordrecht.
  • Garg, S. , Murugan, P. , Manimaran, A. , Sundar, R. , Dakshinamoorthy, P. , & Rajaram, G. . (2025). Performance analysis of various classification algorithms for providing competency training to workplace risk prevention. Multimedia Tools and Applications, 84(15), 15123--15149. Springer US New York.
  • Garg, S. , Patro, R. K. , Behera, S. , Tigga, N. P. , & Pandey, R. . (2025). An overlapping sliding window and combined features based emotion recognition system for EEG signals. Applied Computing and Informatics, 21(1-2), 114--130. Emerald Publishing Limited.
  • Abgeena, G. S. , & Raj J. Goyal, N. . (2025). [Dataset] NeuroEmo: An fMRI Dataset for Emotion Recognition. https://openneuro.org/datasets/ds005700/versions/1.2.0(doi:10.18112/openneuro.ds005700.v1.2.0).
  • Garg, S. , Sharma, S. , Dhariwal, S. , Deva Priya, W. , Singh, M. , & Ramesh, S. . (2025). Human crowd behaviour analysis based on video segmentation and classification using expectation--maximization with deep learning architectures. Multimedia Tools and Applications, 84(8), 4139--4161. Springer US New York.
  • Patidar, P. K. , Bandil, D. K. , & Garg, S. . (2025). Unraveling diabetes mellitus incidence post-COVID-19: A comprehensive review of risk factors and implications.
  • Tigga, N. P. , Garg, S. , Goyal, N. , Raj, J. , & Das, B. . (2025). Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network. Technology and Health Care, 33(1), 77--101. SAGE Publications Sage UK: London, England.
  • Patidar, P. K. , Shiwani, S. , & Garg, S. . (2025). Prediction of diabetes using machine learning classifiers with Polar Bear Optimization. Procedia Computer Science, 258, 1338--1347. Elsevier.
  • Patidar, P. K. , Shiwani, S. , & Garg, S. . (2025). Gated Recurrent Unit for Diabetes Prediction in Voice Data.
  • Dakshinamoorthy, P. , Rajaram, G. , Garg, S. , Murugan, P. , Manimaran, A. , & Sundar, R. . (2025). Artificial intelligence algorithms for object detection and recognition in video and images. Multimedia Tools and Applications, 84(29), 36089--36106. Springer US New York.
  • Abgeena, A. , Garg, S. , Goyal, N. , & PC, J. R. . (2025). NeuroEmo: A neuroimaging-based fMRI dataset to extract temporal affective brain dynamics for Indian movie video clips stimuli using dynamic functional connectivity approach with graph convolution neural network (DFC-GCNN). Computers in Biology and Medicine, 194, 110439. Pergamon.
  • Tigga, N. P. , Garg, S. , & Alnajjar, F. . (2024). Autism spectrum disorder classification with EEG signals using dense graph convolution neural network based on brain regions.
  • Murugan, P. , Manimaran, A. , Sundar, R. , Dakshinamoorthy, P. , Rajaram, G. , & Garg, S. . (2024). A recurrent neural network architecture for android mobile data analysis for detecting malware infected data: P. Murugan et al.. Soft Computing, 28(21), 12917--12928. Springer Berlin Heidelberg Berlin/Heidelberg.
  • Tigga, S. G. N. P. , & Alnajjar, F. . (2024). Autism Spectrum Disorder Classification with EEG Signals Using Dense Graph.
  • Garg, S. , Anand, P. , Chanda, P. K. , & Payyavula, S. R. . (2024). An efficient summarisation and search tool for research articles. Procedia Computer Science, 235, 2215--2226. Elsevier.
  • Selvam, L. , Garg, S. , Murali Prasad, R. , Qamar, S. , Mohana Lakshmi, K. , & Ratna, V. R. . (2023). Collaborative autonomous system based wireless security in signal processing using deep learning techniques. Optik, 272, 170313. Urban & Fischer.
  • Junaid, K. M. , Sukhi, Y. , Anjum, N. , Jeyashree, Y. , Fayaz Ahamed, A. , Debbarma, S. , Chaudhary, G. , Priyadarshini, S. , Shylashree, N. , Garg, S. , & others . (2023). PV-based DC-DC buck-boost converter for LED driver. e-Prime-Advances in Electrical Engineering, Electronics and Energy, 5, 100271. Elsevier.
  • Abgeena, A. , & Garg, S. . (2023). A novel convolution bi-directional gated recurrent unit neural network for emotion recognition in multichannel electroencephalogram signals. Technology and Health Care, 31(4), 1215--1234. SAGE Publications Sage UK: London, England.