April 23, 2025 article Open access Enhancing friction stir-based techniques with machine learning: a comprehensive review Machine Learning Science and Technology DOI: 10.1088/2632-2153/adcff6 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 19 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0 2020 IEEE Access article Engineering Control Systems and Identification Open access 69 citations Deep learning approaches for force feedback based void defect detection in friction stir welding 2021 Journal of Advanced Joining Processes article Engineering Advanced Welding Techniques Analysis Open access 41 citations Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different aluminum alloys 2023 Welding in the World article Engineering Advanced Welding Techniques Analysis Open access 34 citations Development and validation of a generalized, AI-based inline void defect detection solution for FSW based on force feedback 2024 Welding in the World article Engineering Advanced Welding Techniques Analysis Open access 8 citations 4 results