Results 191 to 200 of about 14,221 (268)

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto   +6 more
wiley   +1 more source

Deep learning insights into β-lactamase dynamics and resistance evolution. [PDF]

open access: yesBiochem J
Gu J   +9 more
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Leveraging convolutional sparse autoencoders for robust movement classification from low-density sEMG. [PDF]

open access: yesSci Rep
Hristov B   +4 more
europepmc   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

open access: yesPediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang   +3 more
wiley   +1 more source

Haplotype-based autoencoders can reduce the dataset dimension and estimate haplotype block effects in different crop species. [PDF]

open access: yesBMC Bioinformatics
Heilmann PG   +18 more
europepmc   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis   +7 more
wiley   +1 more source

Mechanisms of Generative Image-to-Image Translation Networks. [PDF]

open access: yesIEEE Access
Chen G, Sun M, Mao ZH, Liu K, Jia W.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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