Sukanta Sabut

According to our database1, Sukanta Sabut authored at least 12 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms.
Prog. Artif. Intell., 2021

2020
Machine learning approach to recognize ventricular arrhythmias using VMD based features.
Multidimens. Syst. Signal Process., 2020

Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm.
Int. J. Autom. Comput., 2020

2019
Automated Detection of Brain Stroke in MRI with Hybrid Fuzzy C-Means Clustering and Random Forest Classifier.
Int. J. Comput. Intell. Appl., 2019

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques.
Cogn. Syst. Res., 2019

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images.
Cogn. Syst. Res., 2019

2018
Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.
Medical Biol. Eng. Comput., 2018

Classification of heart rhythm disorders using instructive features and artificial neural networks.
Int. J. Medical Eng. Informatics, 2018

Adaptive fuzzy clustering-based texture analysis for classifying liver cancer in abdominal CT images.
Int. J. Comput. Biol. Drug Des., 2018

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images.
Comput. Biol. Medicine, 2018

Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier.
Biomed. Signal Process. Control., 2018

2017
Detection of Liver Tumor in CT Images Using Watershed and Hidden Markov Random Field Expectation Maximization Algorithm.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017


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