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Ravindra V. Savangouder
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2020 – today
- 2021
- [c7]Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable Manufacturing. CEC 2021: 549-555 - [c6]Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Hybrid DE-MLP-Based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters. ICONIP (4) 2021: 574-584 - [c5]Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP Technique. IJCNN 2021: 1-8 - [c4]Ravindra V. Savangouder, Jagdish C. Patra:
GA-MLP-based Inverse Modeling Technique for Prediction of Process Parameters and Cost Optimization. SMC 2021: 510-515 - [c3]Ravindra V. Savangouder, Jagdish C. Patra:
A Hybrid PSO-MLP-based Inverse Modeling of Manufacturing Process: Case Study with ADI Process. SMC 2021: 3206-3211
2010 – 2019
- 2019
- [c2]Ravindra V. Savangouder, Jagdish C. Patra, Cédric Bornand:
Artificial Neural Network-Based Modeling for Prediction of Hardness of Austempered Ductile Iron. ICONIP (5) 2019: 405-413 - [c1]Ravindra V. Savangouder, Jagdish C. Patra, Cédric Bornand:
Prediction of Hardness of Austempered Ductile Iron Using Enhanced Multilayer Perceptron Based on Chebyshev Expansion. ICONIP (5) 2019: 414-422
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