“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...
1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
Abstract: This paper presents a novel method based on machine learning to improve multi-objective performance in micro devices efficiently. Stochastic strategies are employed, with automated ...
Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan Graduate School of Science and Technology, Nara Institute of ...
Using AI as a companion to browse the web or generate lifelike images and videos are a few of the features some people are starting to take for granted. Lately, I almost always search the web with AI ...
The growing concerns over climate change, food security, and public health necessitate a transition toward sustainable diets. However, designing diets that are simultaneously healthy, environmentally ...
ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
Abstract: This study presents a data-driven framework for optimizing Fused Deposition Modeling (FDM) process parameters using Bayesian Optimization (BO) to enhance the mechanical and surface ...
An image of the 3D printed nano lattice (left) and a cell of the lattice resting on a bubble (right). Image credits: Peter Serles/University of Toronto For years, scientists have been hunting for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback