C&EN

Constrained Bayesian Optimization for the Deposition Conditions of Doped a-Si:H with High Passivation Performance for SHJ Solar Cells

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
C&EN

Bayesian Optimization with Gaussian Processes Assisted by Deep Learning for Material Designs

Developing novel materials drives significant breakthroughs across various engineering fields. Recent advancements in computational resources and techniques have enabled comprehensive material ...
IEEE

Adaptive Bayesian Optimization for High-Precision Motion Systems

Abstract: Controller tuning and parameter optimization are crucial in system design to improve closed-loop system performance. Bayesian optimization has been established as an efficient model-free ...
IEEE

Constrained Bayesian Optimization: A Review

Abstract: Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box ...
Scientific Research Publishing

Sivia, D. and Skilling, J. (2006) Data Analysis: A Bayesian Tutorial. OUP Oxford.

ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...
ahajournals.org

An Introduction to Bayesian Approaches to Trial Design and Statistics for Stroke Researchers

While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...