A study on various methods used for video summarization and moving object detection for video surveillance applications. - A. Senthil Murugan; K. SuganyaDevi; A. Sivaranjani; P. Srinivasan 003 (Multim. Tools Appl., 2018)

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)

H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases. - K. SuganyaDevi; P. Srinivasan 003; Sivaji Bandhopadhyay (Comput. Electron. Agric., 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)

Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases. - N. V. Raja Reddy Goluguri; K. Suganya Devi; P. Srinivasan 003 (Neural Comput. Appl., 2021)

Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs. - K. Sekar; K. Suganya Devi; P. Srinivasan 003 (Wirel. Pers. Commun., 2021)

Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review. - K. Suganya Devi; G. Arutperumjothi; P. Srinivasan 003 (Health Informatics, 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)

R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network. - Satish Kumar Satti; K. SuganyaDevi; Srinivasan P. 003 (Concurr. Comput. Pract. Exp., 2022)

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)

Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques. - G. Arutperumjothi; K. Suganya Devi; C. Rani; P. Srinivasan 003 (Intell. Autom. Soft Comput., 2023)

Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut. - Satish Kumar Satti; Suganya Devi K; Srinivasan P. 003 (Concurr. Comput. Pract. Exp., 2023)

EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs. - K. Sekar; Suganya Devi K; Satish Kumar Satti; P. Srinivasan 003 (Sustain. Comput. Informatics Syst., 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)