Results 41 to 50 of about 221,738 (314)

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

The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology

Algorithms
In this article, we present a hybrid optimization methodology using the whale optimization algorithm and Markov Chain Monte Carlo sampling technique in a teachers’ training development program regarding creativity in technology-enhanced learning design ...
Kalliopi Rigopouli, Dimitrios Kotsifakos, Yannis Psaromiligkos   +2 more
doaj   +1 more source

Phase space sampling with Markov Chain Monte Carlo methods [PDF]

EPJ Web of Conferences
The efficient exploration of the high-dimensional and multi-modal phase space of scattering events at high-energy particle colliders presents a severe computational challenge. We here discuss the application of Markov Chain Monte Carlo (MCMC) techniques,
La Cagnina Salvatore, Grunwald Cornelius, Janßen Timo, Kröninger Kevin, Schumann Steffen   +4 more
doaj   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

The Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source

Approaches to evaluating measurement uncertainty [PDF]

International Journal of Metrology and Quality Engineering, 2012
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement 1: propagation of distributions by a Monte Carlo method, (GUMS1, JCGM 101) are two of the most widely used documents concerning ...
Forbes A.B.
doaj   +1 more source

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

British Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher, Amina Džidić‐Krivić, Emma Pinjic, Nejra Selak, Kanita Omerbasic, Alexandar Chupin, Andrej Belancic, Almir Fajkic   +7 more
wiley   +1 more source

Studying stellar binary systems with the Laser Interferometer Space Antenna using Delayed Rejection Markov chain Monte Carlo methods

, 2009
Bayesian analysis of LISA data sets based on Markov chain Monte Carlo methods has been shown to be a challenging problem, in part due to the complicated structure of the likelihood function consisting of several isolated local maxima that dramatically ...
Alberto Vecchio, Bender P, Cornish N J, Crowder J, Dhurandhar S V, Geyer C J, Green P J, Harkness M A Green P J, John Veitch, Littenberg T B Cornish N J, Marinari E, Miquel Trias, Mira A, Prix R, Robert C P, Stroeer A, Trias M, Trias M Vecchio A Veitch J, Umstätter R, Whelan J T   +19 more
core   +1 more source

Quantitative prediction of intravenous drug interactions caused by cytochromes P450 inhibitors and inducers

British Journal of Clinical Pharmacology, EarlyView.
Background Aims Pharmacokinetic interaction studies typically focus on oral administration, but intravenous (IV) administration bypasses intestinal degradation and hepatic first‐pass metabolism, leading to distinct drug–drug interaction (DDI) magnitude. This study aimed to develop a predictive model for DDIs involving IV‐administered drugs.
Vianney Tuloup, Michel Tod, Laurent Bourguignon   +2 more
wiley   +1 more source

MONTE CARLO MARKOV CHAIN (MCMC) STOCHASTIC MODELING OF SUPPLY CHAIN

Annals: Series on engineering sciences (Academy of Romanian Scientists)
Effective inventory management in multi-echelon supply chains is challenged by stochastic demand and uncertain lead times, which amplify variability and increase operational costs.
Marcel ILIE, Augustin SEMENESCU
doaj   +1 more source