Regression model-based parametric analysis of drilling of multi-walled carbon nanotubes-added glass fiber composite laminates
Kishore Kumar Panchagnula(Chaitanya Bharathi Institute of Technology), Shankar Chakraborty(Jadavpur University), Jayaprakash Panchagnula Sharma(Birla Institute of Technology and Science, Pilani), Naga Vamsi Krishna Jasti(Birla Institute of Technology and Science, Pilani), Kanak Kalita(Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology), Róbert Čep(VSB - Technical University of Ostrava)
Cited by 10
Related Papers
A Comparative Study of Linear, Random Forest and AdaBoost Regressions for Modeling Non-Traditional Machining
|Processes|2021|172
Random Forest Regression-Based Machine Learning Model for Accurate Estimation of Fluid Flow in Curved Pipes
|Processes|2021|128
Machine Learning-Based Predictive Modelling of Biodiesel Production—A Comparative Perspective
|Energies|2021|109
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
|Applied Sciences|2023|106
A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection
|Informatica|2021|86