Sandeep Kumar Satapathy
Orcid: 0000-0002-4495-8099
According to our database1,
Sandeep Kumar Satapathy
authored at least 12 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
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
IEEE Access, 2023
2022
A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting.
Comput. Electr. Eng., 2022
Proceedings of the OITS International Conference on Information Technology, 2022
2020
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
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