This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Revolutionizing Lithium Metal Anodes With 3D-Printed Topology-Optimized Hosts for Enhanced Stability. [PDF]
Hu X +5 more
europepmc +1 more source
Optimized scheduling of integrated energy systems: a multi-dimensional electricity, hydrogen, ammonia, heat synergy approach using the LSDBO-WOA algorithm. [PDF]
Tu N, Yang J, Yan X, Fan Z.
europepmc +1 more source
Research on the Prediction Method for Ultimate Bearing Capacity of Circular Concrete-Filled Steel Tubular Columns Based on Random Search-Optimized CatBoost Algorithm. [PDF]
Wang Z +5 more
europepmc +1 more source
Enhancing Manufacturing Cell Formation Through Availability-Based Optimization Using the Black Widow Optimizer Metaheuristic. [PDF]
Figueroa-Torrez P +3 more
europepmc +1 more source
Multi-strategy enhanced orchard algorithm for optimal integration of renewable energy sources and EV charging stations in microgrids. [PDF]
V K, Thirumalaisamy SK, M M, P N R.
europepmc +1 more source
Related searches:
Prediction and Optimization of Pile Bearing Capacity Considering Effects of Time
Mathematics, 2022Danial Jahed Armaghani +2 more
exaly

