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)

Machine learning approach to recognize ventricular arrhythmias using VMD based features. - Monalisa Mohanty; Pradyut Kumar Biswal; Sukanta Sabut (Multidimens. Syst. Signal Process., 2020)

Detection of supraventricular tachycardia using decision tree model. - Monalisa Mohanty; Asit Kumar Subudhi; Mihir Narayan Mohanty (Int. J. Comput. Appl. Technol., 2021)

Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms. - Monalisa Mohanty; Manasa Dash; Pradyut Kumar Biswal; Sukanta Sabut (Prog. Artif. Intell., 2021)

Identification of COVID-19 using chest X-Ray images. - Vijaya Patnaik; Monalisa Mohanty; Asit Kumar Subudhi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Classification and Identification of Infectious COVID-19 Virus Using Deep Learning and Machine Learning Techniques: A Comprehensive Analysis. - Vijaya Patnaik; Asit Kumar Subudhi; Monalisa Mohanty (SN Comput. Sci., 2024)

Decision Support System for Predicting Ventricular Arrhythmias Using Non-linear Features of ECG Signals. - Monalisa Mohanty; Pradipta Kishore Dash; Sukanta Sabut (SN Comput. Sci., 2024)