Results 231 to 240 of about 636,797 (344)

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

Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data. [PDF]

Sci Rep
Almazah MMA, Alshahrani MA, Ramzan Q, Raza IA, Tahir M, Ahmad Z.   +5 more
europepmc   +1 more source

Geology, Joy Bay-Burgoyne Bay, Québec

, 1990
M R St-Onge, S B Lucas
openaire   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Differences in muscle quality, muscle strength, and functional motor performance between people after stroke and age- and sex-matched apparently healthy adults: a cross-sectional study. [PDF]

Front Neurol
Domínguez-Sanz N, Trandafir PC, Bays-Moneo AB, Insausti Serrano AM, Ramírez-Vélez R.   +4 more
europepmc   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Unveiling hidden molluscan diversity: New species records in Bougainville Bay, Strait of Magellan. [PDF]

Biodivers Data J
Novoa L, Aldea C, Andrade C, Guarda B, Holtheuer J, Schories D.   +5 more
europepmc   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

Advanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim, Juhyung Ahn, Jieun Seo, Steve Park, Joo Yong Sim   +4 more
wiley   +1 more source

Environmental motion presented ahead of self-motion modulates heading direction estimation. [PDF]

PLoS Comput Biol
Saftari LN, Moon J, Kwon OS.
europepmc   +1 more source

Phylogenomics reveals the evolution of floral traits associated with pollinators and pollinator–prey conflict within the carnivorous Pinguicula subgenus Temnoceras

American Journal of Botany, EarlyView.
Abstract Premise The carnivorous plant genus Pinguicula (Lentibulariaceae) exhibits remarkable floral diversity associated with pollination, particularly in the largest subgenus Temnoceras, which spans Mexico and Central America. Despite this diversity, the relationships between species and the evolution of key floral traits remain unresolved. Here, we
Yunjia Liu, Qianshi Lin, Steven J. Fleck, Martín Mata‐Rosas, Enrique Ibarra‐Laclette, Tanya Renner   +5 more
wiley   +1 more source