Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal. - Santosh Kumar Satapathy; D. Loganathan; Rupalin Nanda (CoMSO, 2020)

Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal. - Santosh Kumar Satapathy; Akash Kumar Bhoi; D. Loganathan; Bidita Khandelwal; Paolo Barsocchi (Biomed. Signal Process. Control., 2021)

Performance analysis of machine learning algorithms on automated sleep staging feature sets. - Santosh Kumar Satapathy; D. Loganathan; Hari Kishan Kondaveeti; Ramakrushna Rath (CAAI Trans. Intell. Technol., 2021)

A Study of Human Sleep Stage Classification Based on Dual Channels of EEG Signal Using Machine Learning Techniques. - Santosh Kumar Satapathy; D. Loganathan (SN Comput. Sci., 2021)

Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal. - Santosh Kumar Satapathy; D. Loganathan (Soft Comput., 2021)

On Stochastic Modeling of Robustness Parameter for Resilience Communications in Vehicle Platoons. - Nitin Singh Rajput; Santosh Kumar Satapathy; Sheetal Sisodia (GLOBECOM, 2022)

Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method. - Santosh Kumar Satapathy; Shrinibas Pattnaik; Badal Acharya; Rama Krushna Rath (ICACDS (2), 2022)

Deep Learning Models for Yoga Pose Monitoring. - Debabrata Swain; Santosh Kumar Satapathy; Biswaranjan Acharya; Madhu Shukla; Vassilis C. Gerogiannis; Andreas Kanavos; Dimitris Giakovis (Algorithms, 2022)

Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method. - Santosh Kumar Satapathy; D. Loganathan (Int. J. Inf. Retr. Res., 2022)

Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data. - Santosh Kumar Satapathy; D. Loganathan (SN Comput. Sci., 2022)

Modeling Reliability for Vehicle Platoon Communications: Heading out on Expressways. - Nitin Singh Rajput; Dev Vyas; Santosh Kumar Satapathy (GLOBECOM, 2023)

A Deep Learning Framework for the Classification of Brazilian Coins. - Debabrata Swain; Viral Rupapara; Amro A. Nour; Santosh Kumar Satapathy; Biswaranjan Acharya; Shakti Mishra; Ali Bostani (IEEE Access, 2023)

COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. - Shubham Mathesul; Debabrata Swain; Santosh Kumar Satapathy; Ayush Rambhad; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Algorithms, 2023)

Automated classification of multi-class sleep stages classification using polysomnography signals: a nine- layer 1D-convolution neural network approach. - Santosh Kumar Satapathy; D. Loganathan (Multim. Tools Appl., 2023)

Assessment of a Novel Single-Channel EEG Method for Automated Recognition of Sleep Phases. - Rajesh Kumar Mahapatra; Harsh Upadhyay; Hari Kishan Kondaveeti; Santosh Kumar Satapathy; Nitin Singh Rajput; Santosh Kumar Tripathy (ICCCNT, 2024)

Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond. - Susant Kumar Panigrahi; Santosh Kumar Tripathy; Anirban Bhowmick; Santosh Kumar Satapathy; Paolo Barsocchi; Akash Kumar Bhoi (IEEE Access, 2024)

Corrections to "A Deep Learning Framework for the Classification of Brazilian Coins". - Debabrata Swain; Viral Rupapara; Amro A. Nour; Santosh Kumar Satapathy; Biswaranjan Acharya; Shakti Mishra; Ali Bostani (IEEE Access, 2024)

Alzheimer's Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN. - Santosh Kumar Tripathy; Rudra Kalyan Nayak; Kartik Shankar Gadupa; Rajnish Dinesh Mishra; Ashok Kumar Patel; Santosh Kumar Satapathy; Akash Kumar Bhoi; Paolo Barsocchi (Int. J. Comput. Intell. Syst., 2024)

Machine learning-empowered sleep staging classification using multi-modality signals. - Santosh Kumar Satapathy; Biswajit Brahma; Baidyanath Panda; Paolo Barsocchi; Akash Kumar Bhoi (BMC Medical Informatics Decis. Mak., 2024)