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AM
Akshansh Mishra
AI Researcher
AI Fab Lab
Publications
20
Funding
0
Patents
0
Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys
Ediciones Universidad de Salamanca (España), 2020
Friction Stir Welding of Dissimilar Metals
International Journal for Research in Applied Science & Engineering …, 2018
Machine learning classification-based approach for mechanical properties of friction stir welding of copper
Manufacturing Letters 29, 52-55, 2021
Contrast limited adaptive histogram equalization (CLAHE) approach for enhancement of the microstructures of friction stir welded joints
arXiv preprint arXiv:2109.00886, 2021
Determination of the Ultimate Tensile Strength (UTS) of friction stir welded similar AA6061 joints by using supervised machine learning based algorithms
Manufacturing Letters 32, 83-86, 2022
Supervised and unsupervised machine learning algorithms for forecasting the fracture location in dissimilar friction-stir-welded joints
Forecasting 4 (4), 787-797, 2022
Artificial intelligence algorithms for the analysis of mechanical property of friction stir welded joints by using python programming
Welding Technology Review 92, 2020
Estimation of grain size distribution of friction stir welded joint by using machine learning approach
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence …, 2021
Process parameter optimization of 6061AA friction stir welded joints using supervised machine learning regression-based algorithms
Journal of Soft Computing in Civil Engineering 6 (1), 127-137, 2022
Explainable artificial intelligence (XAI) and supervised machine learning-based algorithms for prediction of surface roughness of additively manufactured polylactic acid (PLA …
Applied Mechanics 4 (2), 668-698, 2023
Machine learning algorithms for prediction of penetration depth and geometrical analysis of weld in friction stir spot welding process
Metallurgical Research & Technology 119 (3), 305, 2022
Friction Stir Welding of Aerospace Alloys
Journal of Mechanical Engineering 48 (1), 37-46, 2018
A multi-criterion optimization of mechanical properties and sustainability performance in friction stir welding of 6061-T6 AA
Materials Today Communications 36, 106838, 2023
Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints
Fracture and Structural Integrity 15 (58), 242-253, 2021
Machine learning-assisted pattern recognition algorithms for estimating ultimate tensile strength in fused deposition modelled polylactic acid specimens
Materials Technology 39 (1), 2295089, 2024
Analysis of tools used in friction stir welding process
International Journal of Current Engineering and Technology 8 (6), 1519-1524, 2018
Novel coupled genetic algorithm–machine learning approach for predicting surface roughness in fused deposition modeling of polylactic acid specimens
Journal of Materials Engineering and Performance 33 (12), 6136-6145, 2024
Neurosymbolic artificial intelligence (NSAI) based algorithm for predicting the impact strength of additive manufactured polylactic acid (PLA) specimens
Engineering Research Express 5 (3), 035017, 2023
Deep convolutional neural network modeling and Laplace transformation algorithm for the analysis of surface quality of friction stir welded joints
Ediciones Universidad de Salamanca (España), 2021
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates
arXiv preprint arXiv:2107.12156, 2021
AM
Akshansh Mishra
AI Researcher
AI Fab Lab
Work experience
AI Fab Lab
AI Researcher
Top industry applications
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Results may appear later and can be imperfect.
Open to opportunities in
Artificial Intelligence
Data Science
Machine Learning
Mathematical Modeling
Mechanical Engineering
Neuronal networks
Last updated Apr 2025
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