Results 221 to 230 of about 131,180 (321)

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, Volume 16, Issue 2, 14 January 2026.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

A novel artificial bee colony approach of live virtual machine migration policy using Bayes theorem. [PDF]

ScientificWorldJournal, 2013
Xu G, Ding Y, Zhao J, Hu L, Fu X.
europepmc   +1 more source

Who is willing to pay a premium for leafy greens produced by indoor agriculture? A comparative choice experiment with US consumers

Agribusiness, Volume 42, Issue 1, Page 3-28, Winter 2026.
Abstract Indoor agriculture (IA) presents a pathway to producing leafy greens more sustainably by strictly controlling the growing environment, increasing the efficiency of water and land resources use, reducing pesticide application, and enhancing quality characteristics.
Joseph Seong, Simone Valle De Souza, April Athnos, H. Christopher Peterson   +3 more
wiley   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

Mathematical Modeling of Amoxicillin Synthesis in Batch and Semi‐Batch Reactor: Application of Bayesian Statistics and Genetic Algorithm

Biotechnology and Bioengineering, Volume 123, Issue 1, Page 104-115, January 2026.
Synthesis of amoxicillin: The reaction catalyzed by penicillin G acylase is investigated in an enzymatic reactor, considering both Michaelis–Menten and mechanism‐based models with reaction and equilibrium constants. Parameters are estimated via MCMC and Genetic Algorithm, with MCMC showing superior performance in validating the mathematical model in a ...
Lucas Figueiredo Formigosa, Ingrid Cabral dos Santos, Letícia Eduarda Alves e Álvares, Emanuel Negrão Macêdo, Luciana Rocha Barros Gonçalves, Bruno Marques Viegas   +5 more
wiley   +1 more source

A Strategy for Searching a Rare Event: Interpretation by Bayes' Theorem

, 2012
Seung‐Joon Jeon
openalex   +2 more sources

A Meta‐Analysis of International Flunixin Pharmacokinetics in Horses: Toward Regulatory Harmonization and Individualized Detection Times Using Bayesian Paradigm

Drug Testing and Analysis, Volume 18, Issue 1, Page 32-50, January 2026.
A meta‐analysis of flunixin concentrations in 65 horses from four countries estimated pharmacokinetic parameters. Considering the estimated plasma‐to‐urine ratio, raising the plasma International Screening Limit (ISL) from 1 to 3 ng/mL while keeping the urine ISL at 100 ng/mL could reduce the difference in detection times between the two matrices ...
Taisuke Kuroda, Heather K. Knych, Glenys K. Noble, Yohei Minamijima, Gary Ngai‐Wa Leung, Motoi Nomura, Fumiaki Mizobe, Yuhiro Ishikawa, Kanichi Kusano, Pierre‐Louis Toutain   +9 more
wiley   +1 more source

IMPLEMENTATION OF BAYES THEOREM ALGORITHM FOR WEB-BASED EXPERT SYSTEMS FOR DIAGNOSIS OF HUMAN SKIN DISEASES

Yoga Handoko Agustin, Fitri Nuraeni, A T Putri   +2 more
openalex   +1 more source

Determining the Probable Responsibility of the Head Coach and Fitness Coach for Match Outcomes Using Bayes’ Theorem

, 2005
Mahfoodh Faleh Hassan, Abdul Amir Hashim Allawi, Firas Hadi Khalaf   +2 more
openalex   +2 more sources

Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model

Environmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Bounded count data are commonly encountered in environmental studies. This paper examines two environmental applications illustrating their relevance. The first investigates the effect of winter malnutrition on mule deer (Odocoileus hemionus) fawn mortality.
Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker, Salvatore D. Tomarchio, Cristina Tortora   +5 more
wiley   +1 more source