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Artificial intelligence algorithms for prediction of the ultimate tensile strength of the friction stir welded magnesium alloys

International journal on interactive design and manufacturing, 2024-04, Vol.18 (3), p.1779-1787

Mishra, Akshansh

2024

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Data driven knowledge summarization of friction stir welded magnesium alloys literature by using natural language processing algorithms

International journal on interactive design and manufacturing, 2024-04, Vol.18 (3), p.1113-1119

Mishra, Akshansh

2024

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Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms

Przegląd Spawalnictwa (Online), 2024-08, Vol.96, p.147-154

MISHRA, AKSHANSH

2024

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DEPOSITION QUALITY OPTIMIZATION OF ADDITIVE FRICTION STIR DEPOSITED ALUMINIUM ALLOY USING UNSUPERVISED MACHINE LEARNING

Advanced Engineering Letters, 2024-06, Vol.3 (2), p.52-63

Mishra, Akshansh

2024

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Friction Stir Welding/Processing of High Entropy Alloys (HEAs)

Przegląd Spawalnictwa (Online), 2021-02, Vol.93 (1), p.27-33

MISHRA, AKSHANSH

2021

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Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Fatigue of aircraft structures, 2020-12, Vol.2020 (12), p.27-35

Mishra, Akshansh

2020

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Machine Learning Algorithm for Surface Quality Analysis of Friction Stir Welded Joint

Strojnícky casopis - Journal of Mechanical Engineering, 2020-11, Vol.70 (2), p.11-20

Mishra, Akshansh

2020

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Machine Learning Classification Models for Detection of the Fracture Location in Dissimilar Friction Stir Welded Joint

Applied Engineering Letters, 2020, Vol.5 (3), p.87-93

Mishra, Akshansh

2020

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Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys

Advances in distributed computing and artificial intelligence journal, 2020-01, Vol.9 (2), p.69-77

Mishra, Akshansh

2020

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Artificial Intelligence Algorithms for the Analysis of Mechanical Property of Friction Stir Welded Joints by using Python Programming

Przegląd Spawalnictwa (Online), 2020-08, Vol.92 (6), p.7-16

MISHRA, AKSHANSH

2020

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Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test

African journal of biological sciences (Cape Town), 2019-07, Vol.1 (3), p.40-49

Mishra, Akshansh

2019

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Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints

Forecasting, 2022-12, Vol.4 (4), p.787-797

2022

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Supervised Machine Learning Classification Algorithms for Detection of Fracture Location in Dissimilar Friction Stir Welded Joints

Frattura ed integritá strutturale, 2021-10, Vol.15 (58), p.242-253

2021

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Deep Convolutional Neural Network Algorithm for Prediction of the Mechanical Properties of Friction Stir Welded Copper Joints from its Microstructures

Przegląd Spawalnictwa (Online), 2023-09, Vol.95, p.25-31

2023

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Optimization of the tensile strength of friction stir welded heat treatable aluminum alloy by using bio-inspired artificial intelligence algorithms

Frattura ed integritá strutturale, 2022-10, Vol.16 (62), p.448-459

2022

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Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms

Frattura ed integritá strutturale, 2022-09, Vol.16 (62), p.448-459

2022

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Homogenization of Inconel 625 based periodic auxetic lattice structures with varying strut thickness

APL materials, 2024-02, Vol.12 (2), p.021128-021128-15

2024

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Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach

Advances in distributed computing and artificial intelligence journal, 2021-01, Vol.10 (1), p.99-110

2021

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Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm

Lubricants, 2023-06, Vol.11 (6), p.261

2023

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Deep Convolutional Neural Network Modeling and Laplace Transformation Algorithm for the Analysis of Surface Quality of Friction Stir Welded Joints

Advances in distributed computing and artificial intelligence journal, 2021-01, Vol.10 (3), p.307-320

2021

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Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates

Advances in distributed computing and artificial intelligence journal, 2021-01, Vol.10 (3), p.267-279

2021

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Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens

Applied Mechanics, 2023-06, Vol.4 (2), p.668-698

2023

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LatticeML: a data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials

International journal on interactive design and manufacturing, 2024-07

Mishra, Akshansh

2024

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Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures

E3S web of conferences, 2023-01, Vol.430, p.1252

2023

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Optimizing flexural strength of fused deposition modelling using supervised machine learning algorithms

International journal of information technology (Singapore. Online), 2023-06, Vol.15 (5), p.2759-2766

2023

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Artificial intelligence algorithms for prediction of the ultimate tensile strength of the friction stir welded magnesium alloys

Data driven knowledge summarization of friction stir welded magnesium alloys literature by using natural language processing algorithms

Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms

DEPOSITION QUALITY OPTIMIZATION OF ADDITIVE FRICTION STIR DEPOSITED ALUMINIUM ALLOY USING UNSUPERVISED MACHINE LEARNING

Friction Stir Welding/Processing of High Entropy Alloys (HEAs)

Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Machine Learning Algorithm for Surface Quality Analysis of Friction Stir Welded Joint

Machine Learning Classification Models for Detection of the Fracture Location in Dissimilar Friction Stir Welded Joint

Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys

Artificial Intelligence Algorithms for the Analysis of Mechanical Property of Friction Stir Welded Joints by using Python Programming

Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test

Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints

Supervised Machine Learning Classification Algorithms for Detection of Fracture Location in Dissimilar Friction Stir Welded Joints

Deep Convolutional Neural Network Algorithm for Prediction of the Mechanical Properties of Friction Stir Welded Copper Joints from its Microstructures

Optimization of the tensile strength of friction stir welded heat treatable aluminum alloy by using bio-inspired artificial intelligence algorithms

Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms

Homogenization of Inconel 625 based periodic auxetic lattice structures with varying strut thickness

Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach

Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm

Deep Convolutional Neural Network Modeling and Laplace Transformation Algorithm for the Analysis of Surface Quality of Friction Stir Welded Joints

Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates

Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens

LatticeML: a data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials

Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures

Optimizing flexural strength of fused deposition modelling using supervised machine learning algorithms

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