Akshansh Mishra
Orcid: 0000-0003-4939-359X
According to our database1,
Akshansh Mishra
authored at least 23 papers
between 2020 and 2024.
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Bibliography
2024
Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures.
CoRR, 2024
Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing.
CoRR, 2024
LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials.
CoRR, 2024
2023
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials.
CoRR, 2023
Performance Prediction of Data-Driven Knowledge summarization of High Entropy Alloys (HEAs) literature implementing Natural Language Processing algorithms.
CoRR, 2023
Supervised Machine Learning and Physics based Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy.
CoRR, 2023
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens.
CoRR, 2023
Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples.
CoRR, 2023
Neurosymbolic Artificial Intelligence (NSAI) based Algorithm for predicting the Impact Strength of Additive Manufactured Polylactic Acid (PLA) Specimens.
CoRR, 2023
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens.
CoRR, 2023
Prediction of Ultimate Tensile Strength of Additive Manufactured Specimens using Neurosymbolic based Machine Learning Algorithm.
Proceedings of the 5th International Conference on Information Management & Machine Intelligence, 2023
2022
Self-Organizing Map Neural Network Algorithm for the Determination of Fracture Location in Solid-State Process joined Dissimilar Alloys.
CoRR, 2022
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms.
CoRR, 2022
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms.
CoRR, 2022
Performance Evaluation of Machine Learning-based Algorithm and Taguchi Algorithm for the Determination of the Hardness Value of the Friction Stir Welded AA 6262 Joints at a Nugget Zone.
CoRR, 2022
Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures.
CoRR, 2022
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process.
CoRR, 2022
2021
Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy.
CoRR, 2021
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints.
CoRR, 2021
Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms.
CoRR, 2021
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates.
CoRR, 2021
2020
Artificial Intelligence Algorithms for the Analysis of Mechanical Property of Friction Stir Welded Joints by using Python Programming.
Dataset, December, 2020