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)

A Hybrid Biosignal Compression Model for Healthcare Sensor Networks. - T. Dheepa; K. Sekar; Satish Kumar Satti; Goluguri N. V. Rajareddy (IICAIET, 2022)

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)

Indian Cautionary Traffic Sign (ICTS) data-set. - Satish Kumar Satti; Suganya Devi K (IEEE DataPort, 2022)

Unified approach for detecting traffic signs and potholes on Indian roads. - Satish Kumar Satti; K. SuganyaDevi; Prasad Maddula; N. V. Vishnumurthy Ravipati (J. King Saud Univ. Comput. Inf. Sci., 2022)

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)

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)

An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images. - J. Jayachitra; Suganya Devi K; S. V. Manisekaran; Satish Kumar Satti (Earth Sci. Informatics, 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)

Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition. - J. Jayachitra; K. Suganya Devi; S. V. Manisekaran; Satish Kumar Satti (J. Supercomput., 2024)

A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification. - Goluguri N. V. Rajareddy; Kaushik Mishra; Satish Kumar Satti; Gurpreet Singh Chhabra; Kshira Sagar Sahoo; Amir H. Gandomi (Ecol. Informatics, 2025)

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)