Artificial Neural Network-Based Modeling for Prediction of Hardness of Austempered Ductile Iron. - Ravindra V. Savangouder; Jagdish C. Patra; Cédric Bornand (ICONIP (5), 2019)

Prediction of Hardness of Austempered Ductile Iron Using Enhanced Multilayer Perceptron Based on Chebyshev Expansion. - Ravindra V. Savangouder; Jagdish C. Patra; Cédric Bornand (ICONIP (5), 2019)

Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable Manufacturing. - Ravindra V. Savangouder; Jagdish C. Patra; Suresh Palanisamy (CEC, 2021)

Hybrid DE-MLP-Based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters. - Ravindra V. Savangouder; Jagdish C. Patra; Suresh Palanisamy (ICONIP (4), 2021)

Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP Technique. - Ravindra V. Savangouder; Jagdish C. Patra; Suresh Palanisamy (IJCNN, 2021)

GA-MLP-based Inverse Modeling Technique for Prediction of Process Parameters and Cost Optimization. - Ravindra V. Savangouder; Jagdish C. Patra (SMC, 2021)

A Hybrid PSO-MLP-based Inverse Modeling of Manufacturing Process: Case Study with ADI Process. - Ravindra V. Savangouder; Jagdish C. Patra (SMC, 2021)

A Machine Learning Technique for Prediction of Cold Spray Additive Manufacturing Input Process Parameters to Achieve a Desired Spray Deposit Profile. - Ravindra V. Savangouder; Jagdish C. Patra; Suresh Palanisamy (IEEE Trans. Ind. Informatics, 2024)