Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
This project implements a physics-informed neural network (PINN) that acts as a surrogate model for predicting key outcomes of the LPBF process (residual stress, porosity, geometric accuracy) based on ...
Abstract: The competitive swarm optimizer (CSO) classifies swarm particles into loser and winner particles and then uses the winner particles to efficiently guide the search of the loser particles.
Abstract: Solving multiobjective optimization problems (MOPs) through metaheuristic methods gets considerable attention. Based on the classical variation operators, several enhanced operators, as well ...
Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...
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