Results 221 to 230 of about 497,884 (333)

Number-Theoretic Methods in Statistics: Theory and Applications. [PDF]

Entropy (Basel)
Fang KT, Zhou Y.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Should psychology reappropriate the Attention-Seeking? [PDF]

Front Psychol
Porcher S.
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Supercapacitor Model with Charge-Dependent Parameters Based on Experimental Frequency Response. [PDF]

Sensors (Basel)
Gilabert-Torres C, Serna-Garcés SI, Ramos-Paja CA, Aguilar-Peña JD, Rus-Casas C.   +4 more
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning. [PDF]

Sci Rep
Grundner A, Beucler T, Savre J, Lauer A, Schlund M, Eyring V.   +5 more
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

Functional bipartite invariance in mouse primary visual cortex receptive fields. [PDF]

Nat Neurosci
Ding Z, Tran D, Ponder K, Ding Z, Froebe R, Ntanavara L, Fahey PG, Cobos E, Baroni L, Diamantaki M, Wang EY, Chang A, Papadopoulos S, Fu J, Muhammad T, Papadopoulos C, Cadena SA, Evangelou A, Willeke K, Anselmi F, Sanborn S, Antolik J, Froudarakis E, Patel S, Walker EY, Reimer J, Sinz FH, Ecker AS, Franke K, Pitkow X, Tolias AS.   +30 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