Ph.D. candidate in Energetica , 39th cycle (2023-2026)
Department of Energy (DENERG)
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Latest publications View all publications in Porto@Iris
- Dehghanpour Abyaneh, Mohsen; Sadegh Javadi, Mohammad; Narimani, Parviz; Golabchi, ... (2026)
Enhancing Grinding Efficiency in Aluminum Alloys: An Ensemble-Stacking and Single Machine Learning Framework for Predicting Surface Roughness with SHAP-based interpretability. In: INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY, pp. 1-24. ISSN 0268-3768
Contributo su Rivista - Sesana, Raffaella; Dehghanpour Abyaneh, Mohsen; Golabchi, Marzieh; Corsaro, Luca; ... (2026)
Machine learning applied to high-entropy alloy coatings process parameters and composition optimization – A case study. In: High-Entropy Alloy Coatings - Fundamentals and Applications / Viswanathan S. Saji, Jamieson M. Brechtl, S.L., Routledge, Taylor and Francis, pp. 1-33. ISBN: 9781032907505
Contributo in Volume - Dehghanpour Abyaneh, Mohsen; Narimani, Parviz; Javadi, Mohammad Sadegh; Mohammad ... (2024)
Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects. In: PHYSCHEM, vol. 4, pp. 495-523. ISSN 2673-7167
Contributo su Rivista - Narimani, Parviz; Dehghanpour Abyaneh, Mohsen; Mohammad Hosseinzadeh Golabchi, Marzieh; ... (2024)
Digitalization of analysis of a concrete block layer using machine learning as a sustainable approach. In: SUSTAINABILITY, vol. 16. ISSN 2071-1050
Contributo su Rivista