In production engineering, the identification of optimal process parameters is essential to advance product quality and overall equipment effectiveness. Optimizing and adapting process parameters ...
In this work, we develop a new framework for designing experiments that are robust to model misspecification through generalised Bayesian inference. This repository contains the files needed to ...
Recent Trends and Patient Outcomes of Phase I Trials: A Single-Institution Experience in the Era of New Therapeutic Agents This study reviewed all industry-sponsored phase I clinical trial protocols ...
Abstract: Bayesian optimization (BO) has emerged as a powerful sample efficient technique for optimizing expensive and time-consuming design of analog circuits. The BO framework leverages ...
Introduction: While imagery practice is effective for performance enhancement, its impact on mental health is inconclusive due to mixed findings and heterogeneous athlete populations. This study aims ...
A new option for post-CDK4/6is resistance era? Multicenter real-world study of anlotinib-based combination therapy in hormone receptor-positive metastatic breast cancer resistant to CDK4/6 inhibitors.
Abstract: Recently, the complexity of semiconductor manufacturing processes has increased, resulting in a growing need for high-precision optimization of device structures. For example, in batch-type ...
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 ...
Key Laboratory of Geotechnical Mechanics and Engineering of the Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan, China. Soil-water characteristic curve (SWCC) is ...
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