Results 181 to 190 of about 46,326 (239)

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

Emergence and Tandem Repeat-Mediated Elongation of a Translated De Novo Open Reading Frame in Human Oncogenic RNA Gene VPS9D1-AS1 (MYU). [PDF]

Genome Biol Evol
Chou L, Cho ST, Lee J, Laub D, Meyer D, Carter H, Carvunis AR.   +6 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Think sepsis, write sepsis, code sepsis - patient characteristics associated with sepsis (under-)coding in administrative health data. [PDF]

Infection
Thomas-Rüddel D, Rose N, Fleischmann-Struzek C, Reinhart K, Boden B, Dorow H, Edel A, Gonnert FA, Götz J, Gründling M, Heim M, Holbeck K, Jaschinski U, Koch C, Künzer C, Le Ngoc K, Lindau S, Mehlmann NB, Meybohm P, Neb H, Nordine M, Ouart D, Putensen C, Sander M, Schewe JC, Schlattmann P, Schmidt G, Schneider G, Spies C, Steinsberger F, Tam C, Zacharowski K, Zinn S, Schwarzkopf D.   +33 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Nuclear, mitochondrial, and <i>Wolbachia</i> endosymbiont genomes of <i>Onchocerca lupi</i>, Portugal. [PDF]

mSphere
Latrofa MS, Urso I, Notario E, Gissi C, Maia C, Marzano M, Pesole G, Otranto D.   +7 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Mitochondrial genome of African rice (<i>Oryza glaberrima</i>): comparative analysis and phylogenetic relationships. [PDF]

Mitochondrial DNA B Resour
Kehinde BO, Shiyu Z, Linfeng J, Xie L, Fan L.   +4 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source