Sukanta Sabut

According to our database, Sukanta Sabut authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 2024

2022

Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques.

Santanu Sahoo, Pradipta K. Dash, S. P. Mishra, Sukanta Sabut

Intell. Syst. Appl., 2022

Deep learning approach for classifying ischemic stroke using DWI sequences of brain MRIs.

Sukanta Sabut, Prasanta Patra, Arun Ray

Int. J. Intell. Syst. Technol. Appl., 2022

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

2020

Machine learning approach to recognize ventricular arrhythmias using VMD based features.

Monalisa Mohanty, Pradyut Kumar Biswal, Sukanta Sabut

Multidimens. Syst. Signal Process., 2020

Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm.

Santanu Sahoo, Asit Kumar Subudhi, Manasa Dash, Sukanta Sabut

Int. J. Autom. Comput., 2020

2019

Automated Detection of Brain Stroke in MRI with Hybrid Fuzzy C-Means Clustering and Random Forest Classifier.

Asit Kumar Subudhi, Subhransu Jena, Sukanta Sabut

Int. J. Comput. Intell. Appl., 2019

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques.

Amita Das, U. Rajendra Acharya, Soumya S. Panda, Sukanta Sabut

Cogn. Syst. Res., 2019

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images.

U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, Joel E. W. Koh, Shu Lih Oh, Edward J. Ciaccio, Asit Kumar Subudhi, V. Jahmunah, Sukanta Sabut

Cogn. Syst. Res., 2019

2018

Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Asit Kumar Subudhi, Subhransu Jena, Sukanta Sabut

Medical Biol. Eng. Comput., 2018

Classification of heart rhythm disorders using instructive features and artificial neural networks.

Santanu Sahoo, Priti Das, Prativa Biswal, Sukanta Sabut

Int. J. Medical Eng. Informatics, 2018

Adaptive fuzzy clustering-based texture analysis for classifying liver cancer in abdominal CT images.

Amita Das, Priti Das, Soumya S. Panda, Sukanta Sabut

Int. J. Comput. Biol. Drug Des., 2018

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images.

Asit Kumar Subudhi, U. Rajendra Acharya, Manasa Dash, Subhransu Jena, Sukanta Sabut

Comput. Biol. Medicine, 2018

Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier.

Monalisa Mohanty, Santanu Sahoo, Pradyut Kumar Biswal, Sukanta Sabut

Biomed. Signal Process. Control., 2018

2017

Detection of Liver Tumor in CT Images Using Watershed and Hidden Markov Random Field Expectation Maximization Algorithm.

Amita Das, Soumya S. Panda, Sukanta Sabut

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017