| Machining parameters optimization of AA6061 using response surface methodology and particle swarm optimization R Lmalghan, K Rao MC, SS Rao, MA Herbert International Journal of Precision Engineering and Manufacturing 19, 695-704, 2018 | 69 | 2018 |
| Application of particle swarm optimization and response surface methodology for machining parameters optimization of aluminium matrix composites in milling operation RL Malghan, KMC Rao, AK Shettigar, SS Rao, RJ D’Souza Journal of the Brazilian Society of Mechanical Sciences and Engineering 39 …, 2017 | 56 | 2017 |
| Influence of support vector regression (SVR) on cryogenic face milling RMC Karthik, RL Malghan, F Kara, A Shettigar, SS Rao, MA Herbert Advances in Materials Science and Engineering 2021 (1), 9984369, 2021 | 26 | 2021 |
| Application of neural network for the prediction of tensile properties of friction stir welded composites AK Shettigar, S Prabhu, R Malghan, S Rao, M Herbert Materials Science Forum 880, 128-131, 2017 | 14 | 2017 |
| Effect of process parameters in face milling operation and analysis of cutting force using indirect method RL Malghan, KMC Rao, S ArunKumar, SS Rao, RJ D’Souza Materials and manufacturing processes 33 (13), 1406-1414, 2018 | 11 | 2018 |
| An efficient approach to optimize wear behavior of cryogenic milling process of SS316 using regression analysis and particle swarm techniques MC Karthik Rao, RL Malghan, S ArunKumar, SS Rao, MA Herbert Transactions of the Indian Institute of Metals 72, 191-204, 2019 | 8 | 2019 |
| Forward and reverse mapping for milling process using artificial neural networks RL Malghan, K Rao, AK Shettigar, SS Rao, RJ D’Souza Data in brief 16, 114-121, 2018 | 8 | 2018 |
| A Comprehensive Study on the Optimization of Drilling Performance in Hybrid Nano-Composites and Neat CFRP Composites Using Statistical and Machine Learning Approaches T Nargis, SM Shahabaz, S Acharya, N Shetty, RL Malghan, SD Shetty Journal of Manufacturing and Materials Processing 8 (2), 67, 2024 | 7 | 2024 |
| Application of back propagation algorithms in neural network based identification responses of AISI 316 face milling cryogenic machining technique KR MC, RL Malghan, AK Shettigar, SS Rao, MA Herbert Australian Journal of Mechanical Engineering 20 (3), 698-705, 2022 | 7 | 2022 |
| Dataset on flank wear, cutting force and cutting temperature assessment of austenitic stainless steel AISI316 under dry, wet and cryogenic during face milling operation KMC Rao, RL Malghan, MA Herbert, SS Rao Data in brief 26, 104389, 2019 | 6 | 2019 |
| Safeguarding against cyber threats: machine learning-based approaches for real-time fraud detection and prevention VR Shetty, RL Malghan Engineering Proceedings 59 (1), 111, 2023 | 5 | 2023 |
| Machinability study of austenitic stainless steel under wet and cryogenic treatment in face milling K Rao, RL Malghan, AK Shettigar, SS Rao, MA Herbert J. Mat. Sci. Surf. Eng 653, 2017 | 5 | 2017 |
| Effect of welding parameters on microstructure and mechanical Properties of friction stir welded metal matrix composite AK Shettigar, SRB Prabhu, RL Malghan, MA Herbert, SS Rao International journal of researches in biosciences, agriculture and …, 2015 | 2 | 2015 |
| Comprehensive machinability assessment of Ti6Al4V alloy during drilling and helical milling using sustainable dry condition A Hiremath, RL Malghan, G Bolar, A Polishetty International Journal on Interactive Design and Manufacturing (IJIDeM), 1-16, 2024 | 1 | 2024 |
| Advantages of cryogenic machining technique over without-coolant and with-coolant machining on SS316 MCK Rao, RL Malghan, AK Shettigar, MA Herbert, SS Rao Engineering Research Express 3 (1), 015040, 2021 | 1 | 2021 |
| Effect of process parameters in face milling operation and analysis of cutting force using indirect method RL Malghan, KMC Rao, S Arunkumar, SS Rao, RJ D’Souza Mater. Manuf. Process, 2017 | 1 | 2017 |
| Adaptive Landslide Monitoring in Wireless Sensor Networks Using FLPSO-Based MIP Systems K Lingaraj, RL Malghan, KK Rao, L Garg Results in Engineering, 104329, 2025 | | 2025 |
| Optimization of cryogenic processing parameters based on mathematical test functions using a newer hybrid approach (HAIS-GA) RL Malghan, MC Karthik Rao, HM Vishwanatha International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (7 …, 2024 | | 2024 |
| Investigation of AA6063-based metal–matrix composites reinforced with TiO2 dispersoids through digitally assisted techniques for mechanical, tribological, and … J Pattar, D Ramesh, RL Malghan, A Kumar, P Kumar, V HM Frontiers in Mechanical Engineering 10, 1393959, 2024 | | 2024 |
| Hybrid Approach—Diabetic Retinopathy Classification Through Activation Function Optimization NV Hegde, JT Lewis, RL Malghan International Conference on Signal, Machines, Automation, and Algorithm, 553-580, 2023 | | 2023 |
