Results 121 to 130 of about 1,519 (247)

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis. [PDF]

Entropy (Basel), 2019
Du W, Guo X, Wang Z, Wang J, Yu M, Li C, Wang G, Wang L, Guo H, Zhou J, Shao Y, Xue H, Yao X.   +12 more
europepmc   +1 more source

Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy. [PDF]

Entropy (Basel), 2018
Dang Z, Lv Y, Li Y, Yi C.
europepmc   +1 more source

Experimental Study on the Enhancement of Heat Transfer Performance in Sintered‐Core Heat Pipes Using CuO Nanofluid

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study presents the design and construction of an experimental system for evaluating the thermal performance of heat pipes, using sintered‐wick heat pipes charged with CuO nanofluids. The device used in this study is a sintered‐wick heat pipe, in which the liquid return is driven by capillary forces within the porous wick structure.
Dawei Yan, Kaiyu Dong, Sisi Yao, Lei Gao, Weijie Sun, Qian Zhou, Zixi Yu, Shuang Wang   +7 more
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Duck Orbivirus and Egg Production: A Newly Identified Duck Orbivirus Is the Etiological Agent of Egg Production Decline in Chinese Breeder Ducks

Animal Research and One Health, EarlyView.
Field samples from breeder duck farms with egg‐production decline were subjected to viral detection, genome sequencing, and virus isolation. Experimental infection demonstrated that duck orbivirus (DORV) causes a significant and persistent reduction in egg production in breeder ducks.
Bing Li, Jianhua Wang, Xuezhi Cui, Xinxing Chu, You Wang, Dongmin Hao, Mingqing Xu, Haixia Chang, Huihui Li, Mingtian Mao, Mian Wu, Chengguang Lu, Jing Tang, Suyun Liang, Zhanbao Guo, Zhengkui Zhou, Youxiang Diao, Shuisheng Hou, Yi Tang   +18 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source