Improving machine drive dynamics: a structured design approach towards balancing KU LeuvenBram Demeulenaere
Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization KU LeuvenMartin Diehl
Design Optimization for the Coating of Machine Tools Based on Eye-Tracking Experiments and Virtual Reality Technology KU LeuvenLei Jiang
A machine learning optimization approach for the assessment of the robustness of a design solution with application to vibration mitigation solutions KU LeuvenLucas Van Belle, Elke Deckers
Machine learning-aided design of composite mycotoxin detoxifier material for animal feed Universiteit GentGiulia Lo Dico, Siska Croubels, Verónica Carcelén, Maciej Haranczyk
Reprint of: Bio-based design methodologies for products, processes, machine tools and production systems (Reprinted of CIRP Journal of Manufacturing Science and Technology, vol 32, pg 46-60,) KU LeuvenMart Willocx, Joost Duflou
Bridging kinetic modelling and clustering machine learning approaches for catalyst design Universiteit GentAnoop Chakkingal, Pieter Janssens, Jeroen Poissonnier, Mirella Virginie, Andrei Khodakov, Joris Thybaut
Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction KU LeuvenHasan Dad Ansari Mohammad
Machine learning-based hybrid random-fuzzy modeling framework for antenna design Universiteit GentDuygu De Witte, Simon De Ridder, Domenico Spina, Ivo Couckuyt, Flavia Grassi, Tom Dhaene, Hendrik Rogier, Dries Vande Ginste
An Application of Logic-based Methods to Machine Component Design KU LeuvenBram Aerts, Joost Vennekens