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ORCIDA. Usha Ruby
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2020 – today
- 2024
[j7]Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran, Tanvir Habib Sardar, Ahamed Shafeeq B. M.:
Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases. J. Big Data 11(1): 112 (2024)- [j6]Prasannavenkatesan Theerthagiri
, A. Usha Ruby, B. N. Chaithanya, Renuka R. Patil, Swasthika Jain:
D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals. Multim. Tools Appl. 83(5): 14539-14563 (2024) - [j5]A. Usha Ruby, J. George Chellin Chandran, B. N. Chaithanya, Swasthika Jain, Renuka R. Patil:
Wheat leaf disease classification using modified ResNet50 convolutional neural network model. Multim. Tools Appl. 83(23): 62875-62893 (2024) - [j4]Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran:
Prediction and classification of minerals using deep residual neural network. Neural Comput. Appl. 36(4): 1539-1551 (2024) - 2023
- [j3]Prasannavenkatesan Theerthagiri, A. Usha Ruby:
Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends. Multim. Tools Appl. 82(16): 24485-24504 (2023) - [j2]Prasannavenkatesan Theerthagiri, A. Usha Ruby, Vidya J:
Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms. SN Comput. Sci. 4(1): 72 (2023) - 2022
- [j1]Prasannavenkatesan Theerthagiri, A. Usha Ruby:
RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. Expert Syst. J. Knowl. Eng. 39(9) (2022)
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