Sandeep Kumar Satapathy

Orcid: 0000-0002-4495-8099

According to our database1, Sandeep Kumar Satapathy authored at least 17 papers between 2012 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A federated learning approach for classifying chest diseases from chest X-ray images.
Biomed. Signal Process. Control., 2025

2024
Predictive Monitoring in Process Mining Using Deep Learning for Better Consumer Service.
IEEE Trans. Consumer Electron., November, 2024

A Deep Learning Framework for Prediction of Cardiopulmonary Arrest.
EAI Endorsed Trans. Pervasive Health Technol., 2024

Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction.
BMC Medical Imaging, 2024

SafeRoutes: Charting a Secure Path-A Holistic Approach to Women's Safety Through Advanced Clustering and GPS Integration.
IEEE Access, 2024

Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning.
IEEE Access, 2024

2023
A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach.
New Gener. Comput., March, 2023

ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal.
Pers. Ubiquitous Comput., 2023

Optimal Ambulance Positioning for Road Accidents With Deep Embedded Clustering.
IEEE Access, 2023

2022
A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting.
Comput. Electr. Eng., 2022

Grocery Recommendation using Improvised Apriori Algorithm.
Proceedings of the OITS International Conference on Information Technology, 2022

2020
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.
J. Big Data, 2020

2019
Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network.
IEEE Access, 2019

2018
SMOTE and ABC optimised RBF network for coping with imbalanced class in EEG signal classification.
Int. J. Medical Eng. Informatics, 2018

2017
An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure.
Informatica (Slovenia), 2017

2012
Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data.
Proceedings of the Soft Computing Techniques in Vision Science, 2012

A comparative study on homology modeling of P-glycoprotein (P-<i>gp</i>) structure using computational approach.
Proceedings of the CUBE International IT Conference & Exhibition, 2012


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