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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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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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Local eye-net: An attention based deep learning architecture for localization of eyes

Expert systems with applications, 2024-04, Vol.239, p.122416, Article 122416

2024

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Temporal deep learning architecture for prediction of COVID-19 cases in India

Expert systems with applications, 2022-06, Vol.195, p.116611-116611, Article 116611

2022

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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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Machine learning classification-based approach for mechanical properties of friction stir welding of copper

Manufacturing letters, 2021-08, Vol.29, p.52-55

2021

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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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Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment

IEEE access, 2018-01, Vol.6, p.1706-1717

2018

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A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree

Pattern recognition letters, 2019-05, Vol.122, p.45-52

2019

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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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Surface Quality Analysis of Friction Stir Welded Joints by Using Fourier Transformation and Local Binary Patterns Algorithms

Soldagem & Inspeção, 2020, Vol.25

Mishra, Akshansh

2020

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A review of clustering techniques and developments

Neurocomputing (Amsterdam), 2017-12, Vol.267, p.664-681

2017

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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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A cutting-edge framework for surface roughness prediction using multiverse optimization-driven machine learning algorithms

International journal on interactive design and manufacturing, 2024-03

2024

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Determination of the Ultimate Tensile Strength (UTS) of friction stir welded similar AA6061 joints by using supervised machine learning based algorithms

Manufacturing letters, 2022-04, Vol.32, p.83-86

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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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)

2022

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Computational Intelligence Aided Systems for Healthcare Domain

1st edition., 2023

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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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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

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

Local eye-net: An attention based deep learning architecture for localization of eyes

Temporal deep learning architecture for prediction of COVID-19 cases in India

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

Machine learning classification-based approach for mechanical properties of friction stir welding of copper

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

Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment

A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree

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

Surface Quality Analysis of Friction Stir Welded Joints by Using Fourier Transformation and Local Binary Patterns Algorithms

A review of clustering techniques and developments

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

A cutting-edge framework for surface roughness prediction using multiverse optimization-driven machine learning algorithms

Determination of the Ultimate Tensile Strength (UTS) of friction stir welded similar AA6061 joints by using supervised machine learning based algorithms

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

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

Computational Intelligence Aided Systems for Healthcare Domain

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

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