5 citations · 17 across the 15 of their papers we have counts for
15 papers
Supervised Machine Learning and Physics based Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy
Akshansh Mishra
Additive friction stir deposition (AFSD) is a novel solid-state additive manufacturing technique that circumvents issues of porosity, cracking, and properties anisotropy that plagu…
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens
Akshansh Mishra, Vijaykumar S Jatti
In this study, we investigate the application of supervised machine learning algorithms for estimating the Ultimate Tensile Strength (UTS) of Polylactic Acid (PLA) specimens fabric…
Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples
Akshansh Mishra, Vijaykumar S Jatti
This research paper explores the impact of various input parameters, including Infill percentage, Layer Height, Extrusion Temperature, and Print Speed, on the resulting Tensile Str…
Neurosymbolic Artificial Intelligence (NSAI) based Algorithm for predicting the Impact Strength of Additive Manufactured Polylactic Acid (PLA) Specimens
Akshansh Mishra, Vijaykumar S Jatti
In this study, we introduce application of Neurosymbolic Artificial Intelligence (NSAI) for predicting the impact strength of additive manufactured polylactic acid (PLA) components…
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens
Akshansh Mishra, Vijaykumar S. Jatti
Surface roughness is a crucial factor influencing the performance and functionality of additive manufactured components. Accurate prediction of surface roughness is vital for optim…
Self-Organizing Map Neural Network Algorithm for the Determination of Fracture Location in Solid-State Process joined Dissimilar Alloys
Akshansh Mishra, Anish Dasgupta
The subject area known as computational neuroscience involves the investigation of brain function using mathematical techniques and theories. In order to comprehend how the brain p…
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms
Akshansh Mishra, Rakesh Morisetty, Rajat Sarawagi
Oil production forecasting is an important step in controlling the cost-effect and monitoring the functioning of petroleum reservoirs. As a result, oil production forecasting makes…
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms
Akshansh Mishra
Text summarization is a technique for condensing a big piece of text into a few key elements that give a general impression of the content. When someone requires a quick and precis…
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
Akshansh Mishra, Eyob Messele Sefene, Gopikrishna Nidigonda +1
Nowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial…
Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures
Akshansh Mishra, Asmita Suman, Devarrishi Dixit
Friction Stir Welding is a robust joining process, and numerous AI-based algorithms are being developed in this field to enhance mechanical and microstructure properties. Convoluti…
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process
Akshansh Mishra, Raheem Al-Sabur, Ahmad K. Jassim
Nowadays, manufacturing sectors harness the power of machine learning and data science algorithms to make predictions for the optimization of mechanical and microstructure properti…
Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy
Akshansh Mishra, Tarushi Pathak
Machine learning which is a sub-domain of an Artificial Intelligence which is finding various applications in manufacturing and material science sectors. In the present study, Deep…
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints
Akshansh Mishra
Image processing algorithms are finding various applications in manufacturing and materials industries such as identification of cracks in the fabricated samples, calculating the g…
Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms
Akshansh Mishra, Eyob Messele Sefene, Assefa Asmare Tsegaw
The highest strength-to-weight ratio criterion has fascinated curiosity increasingly in virtually all areas where heft reduction is indispensable. Lightweight materials and their j…
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates
Akshansh Mishra, Devarrishi Dixit
Advent in machine learning is leaving a deep impact on various sectors including the material science domain. The present paper highlights the application of various supervised mac…