A. Usha Ruby

According to our database, A. Usha Ruby authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

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, December, 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., July, 2024

Prediction and classification of minerals using deep residual neural network.

Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran

Neural Comput. Appl., February, 2024

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., February, 2024

2023

Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends.

Prasannavenkatesan Theerthagiri, A. Usha Ruby

Multim. Tools Appl., July, 2023

Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms.

Prasannavenkatesan Theerthagiri, A. Usha Ruby, Vidya J

SN Comput. Sci., 2023

2022

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