Analysis and Performance Evaluation of ICA-Based Architectures for Face Recognition. - Anu Singha; Mrinal Kanti Bhowmik; Prasenjit Dhar; Anjan Kumar Ghosh (IWCIA, 2015)

Independent Component Analysis Architectural Feature Evaluation by Correlating Face Images. - Anu Singha; Mrinal Kanti Bhowmik; Prasenjit Dhar; Anjan Kumar Ghosh (IWCIA (Special Track on Applications), 2015)

Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network. - Satish Kumar Satti; K. Suganya Devi; Prasenjit Dhar; P. Srinivasan 003 (MIND (1), 2020)

A machine learning approach for detecting and tracking road boundary lanes. - Satish Kumar Satti; K. Suganya Devi; Prasenjit Dhar; P. Srinivasan 003 (ICT Express, 2021)

Detail Study of Different Algorithms for Early Detection of Cancer. - Prasenjit Dhar; K. Suganya Devi; Satish Kumar Satti; P. Srinivasan 003 (Health Informatics, 2021)

Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation. - Satish Kumar Satti; K. Suganya Devi; Prasenjit Dhar; P. Srinivasan 003 (Soft Comput., 2022)

HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis. - Prasenjit Dhar; Suganya Devi Kothandapani; Satish Kumar Satti; Srinivasan Padmanabhan (Int. J. Imaging Syst. Technol., 2023)

CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine. - Prasenjit Dhar; K. Suganya Devi; P. Srinivasan 003 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells. - Prasenjit Dhar; K. Suganya Devi; Satish Kumar Satti; P. Srinivasan 003 (Evol. Syst., 2024)

Efficient detection and partitioning of overlapped red blood cells using image processing approach. - Prasenjit Dhar; K. Suganya Devi; Satish Kumar Satti; P. Srinivasan 003 (Innov. Syst. Softw. Eng., 2025)