Results 241 to 250 of about 5,879,357 (336)

Unsupervised learning of structural relaxation in supercooled liquids from short-term fluctuations. [PDF]

Proc Natl Acad Sci U S A
Qiu Y, Jang I, Huang X, Yethiraj A.
europepmc   +1 more source

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

Unknown intrusion traffic detection method based on unsupervised learning and open-set recognition. [PDF]

Sci Rep
Fang J, Xie C.
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity. [PDF]

Sci Adv
Marini M, Niu Y, Zhao H, Mohan A, Koorndyk N, Kruyer A, Labate D.   +6 more
europepmc   +1 more source

Improving the Security of Autonomous Vehicles using Unsupervised Machine Learning

, 2020
Sophia Sklar
openalex   +1 more source

Supervised and unsupervised learning process in damage classification of rolling element bearings [PDF]

, 2016
Marcin Strączkiewicz, Piotr Czop, Tomasz Barszcz   +2 more
openalex  

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

An explainable unsupervised learning approach for anomaly detection on corneal <i>in vivo</i> confocal microscopy images. [PDF]

Front Bioeng Biotechnol
Tang N, Chen Q, Meng Y, Lei D, Jiang L, Qin Y, Huang X, Tang F, Huang S, Lan Q, Chen Q, Huang L, Lan R, Pan X, Wang H, Xu F, He W.   +16 more
europepmc   +1 more source