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
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
A. Bhardwaj, B. Dhananjay, P. V. N, D. Chowdhury, R. P. Kumar, K. Pal, S., and B. C. Neelapu,"A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis", Archives of Computational Methods in Engineering, Springer, April 2023, 10.1007/s11831-023-09935-8 Article
D. Chowdhury, B. C. Neelapu, K. Pal, and S.,"Machine learning-based classification of ischemic and non-ischemic exercise stress test ECG", in Computing in Cardiology 2022, vol.49, IEEE, March 2023, 10.22489/CinC.2022.276 Inproceedings
R. Bandyopadhyay, B. C. Neelapu, K. Pal, and S.,"Examining R peak changes in ischemic condition using random forest classifier under stress test ECG", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.82-86, IEEE, Noida, India, May 2023, 10.1109/SPIN57001.2023.10117129 Inproceedings
N. P. Venkatesh, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"CatBoost-based improved detection of P-wave changes in sinus rhythm and tachycardia conditions: a lead selection study", Physical and Engineering Sciences in Medicine, vol.46, pp.925-944, Springer, May 2023, 10.1007/s13246-023-01274-z Article
C. Kurade, M. Meenu, S. Kalra, A. Miglani, B. C. Neelapu, Y. Yu, and H. S. Ramaswamy,"An automated image processing module for quality evaluation of milled rice", Foods, vol.12, MDPI, March 2023, 10.3390/foods12061273 Article