Santosh Kumar Satapathy

Orcid: 0000-0001-7243-1203

According to our database1, Santosh Kumar Satapathy authored at least 15 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond.
IEEE Access, 2024

2023
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine- layer 1D-convolution neural network approach.
Multim. Tools Appl., March, 2023

COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques.
Algorithms, 2023

A Deep Learning Framework for the Classification of Brazilian Coins.
IEEE Access, 2023

Modeling Reliability for Vehicle Platoon Communications: Heading out on Expressways.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data.
SN Comput. Sci., 2022

Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method.
Int. J. Inf. Retr. Res., 2022

Deep Learning Models for Yoga Pose Monitoring.
Algorithms, 2022

Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method.
Proceedings of the Advances in Computing and Data Sciences - 6th International Conference, 2022

On Stochastic Modeling of Robustness Parameter for Resilience Communications in Vehicle Platoons.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal.
Soft Comput., 2021

A Study of Human Sleep Stage Classification Based on Dual Channels of EEG Signal Using Machine Learning Techniques.
SN Comput. Sci., 2021

Performance analysis of machine learning algorithms on automated sleep staging feature sets.
CAAI Trans. Intell. Technol., 2021

Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal.
Biomed. Signal Process. Control., 2021

2020
Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal.
Proceedings of the Modeling, Simulation and Optimization, 2020


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