3D Image Sensing for Bit Plane Method of Progressive Transmission. - D. Loganathan; K. M. Mehata (3DPVT, 2004)

Quantization Table Selection Using Firefly with Teaching and Learning Based Optimization Algorithm for Image Compression. - D. Preethi; D. Loganathan (Handbook of Multimedia Information Security, 2019)

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)

Energy Aware Efficient Data Aggregation (EAEDAR) with Re-scheduling Mechanism Using Clustering Techniques in Wireless Sensor Networks. - D. Loganathan; M. Balasubramani; R. Sabitha (Wirel. Pers. Commun., 2021)

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)

Improved Load-Balanced Clustering for Energy-Aware Routing (ILBC-EAR) in WSNs. - D. Loganathan; M. Balasubramani; R. Sabitha; S. Karthik 001 (Comput. Syst. Sci. Eng., 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)