A novel Moore-Penrose pseudo-inverse weight-based Deep Convolution Neural Network for bacterial leaf blight disease detection system in rice plant. - T. Daniya; S. Vigneshwari (Adv. Eng. Softw., 2022)

Deep Neural Network for Disease Detection in Rice Plant Using the Texture and Deep Features. - T. Daniya; S. Vigneshwari (Comput. J., 2022)

Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. - Veerraju Gampala; Balajee Maram; S. Vigneshwari; Rajan Cristin (Int. J. Intell. Syst., 2022)

Optimizing Waste Management through Intelligent Machine Learning Systems: A Comparative Study. - Nandikante Shravani; S. Vigneshwari (ICCCNT, 2023)

Shuffled shepherd social optimization based deep learning for rice leaf disease classification and severity percentage prediction. - Thavasilingam Daniya; Vigneshwari Srinivasan (Concurr. Comput. Pract. Exp., 2023)

Rider Water Wave-enabled deep learning for disease detection in rice plant. - T. Daniya; S. Vigneshwari (Adv. Eng. Softw., 2023)

Application of empirical Bayes adaptive estimation technique for estimating winds from MST radar covering higher altitudes. - Manas Ranjan Padhy; Srinivasan Vigneshwari; M. Venkat Ratnam (Signal Image Video Process., 2023)

Implementation of Adaptive-Bayesian Shrinkage Technique for Obtaining Winds From MST Radar Covering Higher Altitudes. - Manas Ranjan Padhy; Srinivasan Vigneshwari; Madineni Venkat Ratnam (IEEE Trans. Geosci. Remote. Sens., 2024)

A Descriptive Framework for Information Retrieval Using Crawler Based Clustering and Effective Search Algorithm. - S. Gowri; R. Subhashini; G. Mathivanan; J. Jabez; S. Vigneshwari; J. S. Vimali (Int. J. Inf. Technol. Decis. Mak., 2024)