5 citations · 6 across the 3 of their papers we have counts for
4 papers
Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process
Akshansh Mishra, Eyob Mesele Sefene, Shivraman Thapliyal
This work proposes an evolutionary computing-based image segmentation approach for analyzing soundness in Additive Friction Stir Deposition (AFSD) processes. Particle Swarm Optimiz…
Performance Prediction of Data-Driven Knowledge summarization of High Entropy Alloys (HEAs) literature implementing Natural Language Processing algorithms
Akshansh Mishra, Vijaykumar S Jatti, Vaishnavi More +3
The ability to interpret spoken language is connected to natural language processing. It involves teaching the AI how words relate to one another, how they are meant to be used, an…
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…
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…