Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder +3 more
wiley +1 more source
Multi-objective machine learning framework for welfare-optimized health insurance design in infectious disease management (Gastroenteritis). [PDF]
Momahhed SS, Haghighathoseini A.
europepmc +1 more source
A Systematic Intelligent Optimization Framework for a Sustained-Release Formulation Design. [PDF]
Qiao Y +9 more
europepmc +1 more source
A stochastic daily weather generator for perennial crop simulations in tropical Malaysia. [PDF]
Teh CBS, Cheah SS, Appleton DR.
europepmc +1 more source
Simultaneous dimension and tolerance design for robot manipulator considering cost and positioning accuracy reliability. [PDF]
Zhao Z +4 more
europepmc +1 more source
Innovative generating-information function for consecutive lifetime systems in health research. [PDF]
Mohamed MS.
europepmc +1 more source
Machine Learning Models for Pancreatic Cancer Survival Prediction: A Multi-Model Analysis Across Stages and Treatments Using the Surveillance, Epidemiology, and End Results (SEER) Database. [PDF]
Chakraborty A, Pant MD.
europepmc +1 more source
An Adaptive Hybrid Correlation Kriging Approach for Uncertainty Dynamic Optimization of Spherical-Conical Shell Structure. [PDF]
Huang T, Wang Q, Zhong R, Liu T.
europepmc +1 more source
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