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ORCIDSantosh Kumar Satapathy
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2020 – today
- 2024
[j14]Susant Kumar Panigrahi
, Santosh Kumar Tripathy, Anirban Bhowmick, Santosh Kumar Satapathy, Paolo Barsocchi, Akash Kumar Bhoi:
Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond. IEEE Access 12: 25090-25105 (2024)- [j13]Debabrata Swain, Viral Rupapara, Amro A. Nour, Santosh Kumar Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani:
Corrections to "A Deep Learning Framework for the Classification of Brazilian Coins". IEEE Access 12: 70000 (2024) - [j12]Santosh Kumar Tripathy, Rudra Kalyan Nayak, Kartik Shankar Gadupa, Rajnish Dinesh Mishra, Ashok Kumar Patel, Santosh Kumar Satapathy, Akash Kumar Bhoi, Paolo Barsocchi:
Alzheimer's Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN. Int. J. Comput. Intell. Syst. 17(1): 113 (2024) - [j11]Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi:
Machine learning-empowered sleep staging classification using multi-modality signals. BMC Medical Informatics Decis. Mak. 24(1): 119 (2024) - 2023
- [j10]Debabrata Swain, Viral Rupapara, Amro A. Nour, Santosh Kumar Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani:
A Deep Learning Framework for the Classification of Brazilian Coins. IEEE Access 11: 109448-109461 (2023) - [j9]Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. Algorithms 16(10): 494 (2023) - [j8]Santosh Kumar Satapathy, D. Loganathan:
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine- layer 1D-convolution neural network approach. Multim. Tools Appl. 82(6): 8049-8091 (2023) - [c4]Nitin Singh Rajput, Dev Vyas, Santosh Kumar Satapathy:
Modeling Reliability for Vehicle Platoon Communications: Heading out on Expressways. GLOBECOM 2023: 6050-6055 - 2022
- [j7]Debabrata Swain, Santosh Kumar Satapathy, Biswaranjan Acharya, Madhu Shukla, Vassilis C. Gerogiannis, Andreas Kanavos, Dimitris Giakovis:
Deep Learning Models for Yoga Pose Monitoring. Algorithms 15(11): 403 (2022) - [j6]Santosh Kumar Satapathy, D. Loganathan:
Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method. Int. J. Inf. Retr. Res. 12(2): 1-19 (2022) - [j5]Santosh Kumar Satapathy, D. Loganathan:
Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data. SN Comput. Sci. 3(4): 276 (2022) - [c3]Nitin Singh Rajput, Santosh Kumar Satapathy, Sheetal Sisodia:
On Stochastic Modeling of Robustness Parameter for Resilience Communications in Vehicle Platoons. GLOBECOM 2022: 946-951 - [c2]Santosh Kumar Satapathy, Shrinibas Pattnaik, Badal Acharya, Rama Krushna Rath:
Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method. ICACDS (2) 2022: 235-247 - 2021
- [j4]Santosh Kumar Satapathy, Akash Kumar Bhoi, D. Loganathan, Bidita Khandelwal, Paolo Barsocchi:
Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal. Biomed. Signal Process. Control. 69: 102898 (2021) - [j3]Santosh Kumar Satapathy, D. Loganathan, Hari Kishan Kondaveeti, Ramakrushna Rath:
Performance analysis of machine learning algorithms on automated sleep staging feature sets. CAAI Trans. Intell. Technol. 6(2): 155-174 (2021) - [j2]Santosh Kumar Satapathy, D. Loganathan:
A Study of Human Sleep Stage Classification Based on Dual Channels of EEG Signal Using Machine Learning Techniques. SN Comput. Sci. 2(3): 157 (2021) - [j1]Santosh Kumar Satapathy, D. Loganathan:
Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal. Soft Comput. 25(24): 15445-15462 (2021) - 2020
- [c1]Santosh Kumar Satapathy, D. Loganathan, Rupalin Nanda:
Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal. CoMSO 2020: 391-403
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