Results 171 to 180 of about 520,634 (314)

Comparative effectiveness of traditional Chinese exercises for knee osteoarthritis: a systematic review and Bayesian network meta-analysis. [PDF]

Front Public Health
Li Y, Zhai Z, Guo B, Liu Y, An Z, Zhai Q.   +5 more
europepmc   +1 more source

Probabilistic Mapping With Bayesian Belief Networks: An Application On Ecosystem Service Delivery In Flanders, Belgium

, 2014
Dries Landuyt, Steven Broekx, Katrien Van der Biest, Peter Goethals   +3 more
openalex   +1 more source

Efficacy and safety of 11 sodium-glucose cotransporter-2 inhibitors at different dosages in type 2 diabetes mellitus patients inadequately controlled with metformin: a Bayesian network meta-analysis

Lei Xu, Yike Wu, Jiyifan Li, Yanan Ding, Junwei Chow, Longzhou Li, Haiyang Liu, Zihan Wang, Tingting Gong, Ting Li, Guo Ma   +10 more
openalex   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Comparative effectiveness of non-pharmacological interventions for knee osteoarthritis: protocol for a Bayesian Network meta-analysis. [PDF]

Syst Rev
Pi Z, He W, Lv X, Chen F, Zhao X, Zhao Z.   +5 more
europepmc   +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 Network Modeling of Environmental, Social, and Behavioral Determinants of Cardiovascular Disease Risk. [PDF]

Int J Environ Res Public Health
Nyavor H, Obeng-Gyasi E.
europepmc   +1 more source

Bayesian network for the prediction of situation awareness errors

, 2018
Jean‐Marc Salotti
openalex   +2 more sources

Inferring Dynamic Bayesian Networks using Frequent Episode Mining [PDF]

, 2009
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan   +2 more
openalex   +1 more source

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