RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. - Prasannavenkatesan Theerthagiri; A. Usha Ruby (Expert Syst. J. Knowl. Eng., 2022)

Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; Vidya J (SN Comput. Sci., 2023)

Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends. - Prasannavenkatesan Theerthagiri; A. Usha Ruby (Multim. Tools Appl., 2023)

D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; B. N. Chaithanya; Renuka R. Patil; Swasthika Jain (Multim. Tools Appl., 2024)

Prediction and classification of minerals using deep residual neural network. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; J. George Chellin Chandran (Neural Comput. Appl., 2024)

Wheat leaf disease classification using modified ResNet50 convolutional neural network model. - A. Usha Ruby; J. George Chellin Chandran; B. N. Chaithanya; Swasthika Jain; Renuka R. Patil (Multim. Tools Appl., 2024)

Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; J. George Chellin Chandran; Tanvir Habib Sardar; Ahamed Shafeeq B. M. (J. Big Data, 2024)