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09/13/2023
Supervised Machine Learning and Physics based Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy
Additive friction stir deposition (AFSD) is a novel solid-state additive...
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07/13/2023
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens
In this study, we investigate the application of supervised machine lear...
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05/28/2023
Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples
This research paper explores the impact of various input parameters, inc...
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05/07/2023
Neurosymbolic Artificial Intelligence (NSAI) based Algorithm for predicting the Impact Strength of Additive Manufactured Polylactic Acid (PLA) Specimens
In this study, we introduce application of Neurosymbolic Artificial Inte...
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04/24/2023
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens
Surface roughness is a crucial factor influencing the performance and fu...
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08/14/2022
Self-Organizing Map Neural Network Algorithm for the Determination of Fracture Location in Solid-State Process joined Dissimilar Alloys
The subject area known as computational neuroscience involves the invest...
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04/25/2022
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms
Text summarization is a technique for condensing a big piece of text int...
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03/22/2022
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 Nug
Nowadays, industry 4.0 plays a tremendous role in the manufacturing indu...
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03/16/2022
Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures
Friction Stir Welding is a robust joining process, and numerous AI-based...
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01/21/2022
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process
Nowadays, manufacturing sectors harness the power of machine learning an...
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07/21/2021
