D. Sahu, S., B. C. Neelapu, F. Flores, and K. Pal,"IoT-driven reflectance-based multimode colorimeter for real-time monitoring of crystallization process: A study on oleogels", Journal of Food Engineering, vol.383, Elsevier, December 2024, 10.1016/j.jfoodeng.2024.112244       Article

S. K. Verma, K. S. Patel, B. K. Naik, and B. C. Neelapu,"Texture-based computations for processing volumetric dental image", Advances in Computers, ch.15, vol.135, pp.1-40, Elsevier, advances in computers, June 2024, 10.1016/bs.adcom.2024.05.001       Inbook

P. V. N, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model", Biomedical Signal Processing and Control, Elsevier, November 2024, 10.1016/j.bspc.2024.106703       Article

P. V. N, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms", Biomedical Signal Processing and Control, Elsevier, November 2024, 10.1016/j.bspc.2024.106730       Article

K. Pal, B. C. Neelapu, and S.,"Advances in Artificial Intelligence Biomedical Engineering Applications in Signals and Imaging", Elsevier, May 2024, View Details       Book

S. Ahmadsaidulu, A. Tiwari, B. C. Neelapu, P. K. Jain, and E. Banoth,"Advancing leukocyte classification: a cutting-edge deep learning approach for AI-driven clinical diagnosis", International Journal of Imaging Systems and Technology, vol.34, no.6, Wiley, October 2024, View Details       Article

S. Ahmadsaidulu, A. Tiwari, B. C. Neelapu, P. K. Jain, and E. Banoth,"Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis", International Journal of Imaging Systems and Technology, vol.34, no.6, Wiley, October 2024, 10.1002/ima.23204       Article

K. K. Patro, J. P. Allam, B. C. Neelapu, R. Tadeusiewicz, U. R. Acharya, M. Hammad, O. Yildirim, and P. Plawiak,"Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images", Information Sciences, Elsevier 2023, 10.1016/j.ins.2023.119005       Article

B. Dhananjay, B. C. Neelapu, K. Pal, and S.,"Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation", Biomedical Engineering/Biomedizinische Technik, De Gruyter, March 2023, 10.1515/bmt-2022-0430       Article

B. K. Pradhan, B. C. Neelapu, S., D. Kim, and K. Pal,"A review on the applications of time-frequency methods in ECG analysis", Journal of Healthcare Engineering, Hindawi, February 2023, 10.1155/2023/3145483       Article