Results 171 to 180 of about 3,020,093 (290)

Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models. [PDF]

Sensors (Basel), 2023
Gómez JL, Villalonga G, López AM.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Enhancing single shot unsupervised domain adaptation for inter-camera person re-identification. [PDF]

Sci Rep
Vidhyalakshmi MK, Neduncheliyan S, Hemlathadhevi A, Samal SP, Barick S.   +4 more
europepmc   +1 more source

Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals. [PDF]

Front Big Data, 2023
Latyshev P, Pavlov F, Herbert A, Poptsova M.   +3 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics. [PDF]

Genet Epidemiol
Shi Y, Xu W, Hu P.
europepmc   +1 more source

From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild. [PDF]

Plant Phenomics, 2023
Wu X, Fan X, Luo P, Choudhury SD, Tjahjadi T, Hu C.   +5 more
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

Prototype-oriented class-conditional clustering transport for unsupervised domain adaptation. [PDF]

Sci Rep
Yan L, Tao J, He T.
europepmc   +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