D. Kalita and M. K. Baig,"Multivariate glucose forecasting using deep multihead attention layers inside neural basis expansion networks", Journal of Biomedical and Health Informatics, vol.29, no.5, pp.3654 - 3663, IEEE 2025, View Details       Article

D. Kalita, H. Sharma, and M. K. Baig,"Deep learning on edge and cloud for intelligent monitoring and decision making in artificial pancreas", Expert Systems with Applications, Elsevier 2025, 10.1016/j.eswa.2025.128833       Article

D. Kalita, H. Sharma, and M. K. Baig,"Neural hierarchical interpolation for glucose time series forecasting in artificial pancreas with integration of physical activity", in TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), IEEE, March 2025, 10.1109/TENCON61640.2024.10903073       Inproceedings

D. Kalita, H. Sharma, and M. K. Baig,"Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas using adaptive generative and discriminative models", IEEE Journal of Biomedical And Health Informatics, vol.28, no.8, pp.4963 - 4974, IEEE 2024, View Details       Article

D. Kalita, S. Dash, and M. K. Baig,"Epinet: an optimized, resource efficient deep gru-lstm network for epileptic seizure prediction", Biomedical Engineering: Applications, Basis and Communications, vol.36, no.4, World Scientific 2024, View Details       Article

S. Dash, A. K. Parida, K. Pal, and M. K. Baig,"Generative AI for Bio-Signal Analysis and Augmentation", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.9, pp.9, Nova Science Publishers, January 2024, View Details       Inbook

D. Kalita, H. Sharma, U. Naskar, B. K. Mishra, J. K. Panda, and M. K. Baig,"Deep learning for the closed loop diabetes management system", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.10, pp.6, Nova Science Publishers, January 2024, View Details       Inbook

D. Kalita, S. Dash, and M. K. Baig,"EpiNET: an optimized, resource efficient deep GRU-LSTM network for epileptic seizure prediction", Biomedical Engineering: Applications, Basis and Communications, vol.36, no.4, pp.2450021, World Scientific, August 2024, 10.4015/S1016237224500212       Article

D. Kalita, H. Sharma, J. K. Panda, and M. K. Baig,"Platform for precise, personalised glucose forecasting through continuous glucose and physical activity monitoring and deep learning", Medical Engineering & Physics, vol.132, pp.104241, Elsevier, October 2024, 10.1016/j.medengphy.2024.104241       Article

H. Sharma, D. Kalita, R. Panda, P. Kumar, and M. K. Baig,"Effect of biofouling on electrochemical impedance parameters and sensitivity of polyvinyl alcohol-coated iridium oxide-based pH biosensors", IEEE Transactions on Instrumentation and Measurement, vol.74, no.9500211, IEEE, November 2024, 10.1109/TIM.2024.3493877       Article