Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier. - Monalisa Mohanty; Santanu Kumar Sahoo; Pradyut Kumar Biswal; Sukanta Sabut (Biomed. Signal Process. Control., 2018)

Classification of heart rhythm disorders using instructive features and artificial neural networks. - Santanu Kumar Sahoo; Priti Das; Prativa Biswal; Sukanta Sabut (Int. J. Medical Eng. Informatics, 2018)

Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm. - Santanu Kumar Sahoo; Asit Kumar Subudhi; Manasa Dash; Sukanta Sabut (Int. J. Autom. Comput., 2020)

Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques. - Santanu Kumar Sahoo; Pradipta K. Dash; S. P. Mishra; Sukanta Sabut (Intell. Syst. Appl., 2022)

DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection. - Debasish Swapnesh Kumar Nayak; Arpita Priyadarshini; Pabani Mahanta; Tejaswini Das; Santanu Kumar Sahoo; Tripti Swarnkar (SN Comput. Sci., 2024)

ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer. - Debasish Swapnesh Kumar Nayak; Ruchika Das; Santanu Kumar Sahoo; Tripti Swarnkar (Comput. Biol. Chem., 2025)

ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli. - Debasish Swapnesh Kumar Nayak; Arpita Priyadarshini; Sweta Padma Routray; Santanu Kumar Sahoo; Tripti Swarnkar (Int. J. Online Biomed. Eng., 2025)