Results 251 to 260 of about 338,787 (319)

Machine learning and bayesian network based on fuzzy AHP framework for risk assessment in process units. [PDF]

Sci Rep
Mandali H, Keighobadi E, Ebrahimi H, Hanifi SM, Ayat SM, Ghashghaei M.   +5 more
europepmc   +1 more source

Discussion on Prior-based Bayesian Information Criterion (PBIC) by M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser

, 2019
Ruobin Gong, Minge Xie
openalex   +2 more sources

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Assimilative causal inference. [PDF]

Nat Commun
Andreou M, Chen N, Bollt E.
europepmc   +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

The relationship between the latent profiles of cancer-related fatigue characteristics and exercise adherence in colorectal cancer patients. [PDF]

Support Care Cancer
Gao L, Feng L, Wang C, Zhao X, Xiong M, Huang Q.   +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

Patterns and associated factors of health literacy among residents aged 15-69 in Zhejiang, China: a latent profile analysis. [PDF]

Front Public Health
Xu S, Zhou Y, Huang M, Wen X, Zhang X, Xu Y, Yao D, Hu X, Chen H, Chen C, Zhang X.   +10 more
europepmc   +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

Blood and skin carotenoid levels are inversely associated with the prevalence of periodontal diseases in populations with normal occlusion: a cross-sectional analysis from the Iwaki health promotion project. [PDF]

Nutr J
Yamauchi T, Waki N, Suzuki S, Fujimoto K, Mikami T, Murashita K, Nakaji S, Itoh K, Tamada Y, Tamura Y, Kobayashi W.   +10 more
europepmc   +1 more source