Akshansh Mishra

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Learning Algorithm

Language Processing

Simulated Annealing

Top Venues

Publications

Akshansh Mishra
LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials. CoRR (2024)
Akshansh Mishra
Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing. CoRR (2024)
Akshansh Mishra, Vijaykumar S. Jatti
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens. CoRR (2023)
Akshansh Mishra
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)
Akshansh Mishra, Vijaykumar S. Jatti
Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples. CoRR (2023)
Akshansh Mishra, Vijaykumar S. Jatti, Vaishnavi More, Anish Dasgupta, Devarrishi Dixit, Eyob Messele Sefene
Performance Prediction of Data-Driven Knowledge summarization of High Entropy Alloys (HEAs) literature implementing Natural Language Processing algorithms. CoRR (2023)
Akshansh Mishra, Vijaykumar S. Jatti
Neurosymbolic Artificial Intelligence (NSAI) based Algorithm for predicting the Impact Strength of Additive Manufactured Polylactic Acid (PLA) Specimens. CoRR (2023)
Akshansh Mishra
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials. CoRR (2023)
Dhruv Abhijeet Sawant, Vijaykumar S. Jatti, Akshansh Mishra, Eyob Messele Sefene
Prediction of Ultimate Tensile Strength of Additive Manufactured Specimens using Neurosymbolic based Machine Learning Algorithm. ICIMMI (2023)
Akshansh Mishra, Vijaykumar S. Jatti
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens. CoRR (2023)
Akshansh Mishra, Asmita Suman, Devarrishi Dixit
Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures. CoRR (2022)
Akshansh Mishra, Rakesh Morisetty, Rajat Sarawagi
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms. CoRR (2022)
Akshansh Mishra, Eyob Messele Sefene, Gopikrishna Nidigonda, Assefa Asmare Tsegaw
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)
Akshansh Mishra, Anish Dasgupta
Self-Organizing Map Neural Network Algorithm for the Determination of Fracture Location in Solid-State Process joined Dissimilar Alloys. CoRR (2022)
Akshansh Mishra, Raheem Al-Sabur, Ahmad K. Jassim
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process. CoRR (2022)
Akshansh Mishra
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms. CoRR (2022)
Akshansh Mishra, Devarrishi Dixit
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates. CoRR (2021)
Akshansh Mishra
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints. CoRR (2021)
Akshansh Mishra, Eyob Messele Sefene, Assefa Asmare Tsegaw
Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms. CoRR (2021)
Akshansh Mishra, Tarushi Pathak
Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy. CoRR (2021)