Results 221 to 230 of about 4,909,083 (351)

Guided Multi-Fidelity Bayesian Optimization for Data-driven Controller Tuning with Digital Twins [PDF]

Mahdi Nobar, J.P. Keller, Alessandro Forino, John Lygeros, Alisa Rupenyan   +4 more
openalex   +1 more source

Bayesian-Optimization-Based Peak Searching Algorithm for Clustering in Wireless Sensor Networks [PDF]

, 2018
Tianyu Zhang, Qian Zhao, Kilho Shin, Yukikazu Nakamoto   +3 more
openalex   +1 more source

Exploring Bayesian Optimization

Distill, 2020
Apoorv Agnihotri, Nipun Batra
openaire   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Bayesian optimization of capillary pressure data in hydraulic flow units using NMR. [PDF]

Sci Rep
Jehanzaib H, Zahoor MK, Haris M, Saleem Y, Ismail A.   +4 more
europepmc   +1 more source

Local Bayesian optimization of motor skills [PDF]

, 2017
Riad Akrour, Dmitry V. Sorokin, Jan Peters, Gerhard Neumann   +3 more
openalex  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Bayesian optimization and machine learning for vaccine formulation development. [PDF]

PLoS One
Li L, Back SI, Ma J, Guo Y, Galeandro-Diamant T, Clénet D.   +5 more
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Automated Spectral Preprocessing via Bayesian Optimization for Chemometric Analysis of Milk Constituents. [PDF]

Foods
Babatunde HA, McDougal OM, Andersen T.
europepmc   +1 more source