Results 141 to 150 of about 25,600 (268)

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

InfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu, Weilong Huang, Feihong Zhu, Yongjie Cai, Xiaolong Li, Yang Yang, Xiao Ma, Zhixiang Wei, Wei Chen, Huipeng Chen   +9 more
wiley   +1 more source

Insulator fault feature extraction system of substation equipment based on machine vision

IET Networks, EarlyView., 2022
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang, Qiaoqun Xia, Lijun Ma, Xin Xu, Zhipeng Shao   +4 more
wiley   +1 more source

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +1 more source

Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. [PDF]

Sci Rep
Kumru E, Ekinci F, Aydoğan A, Güzel MS, Sevindik M, Akata I.   +5 more
europepmc   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Fully Differentiable dMRI Streamline Propagation in PyTorch. [PDF]

Proc SPIE Int Soc Opt Eng
Yoon J, McMaster EM, Kim ME, Rudravaram G, Schilling KG, Landman BA, Moyer D.   +6 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study. [PDF]

Sci Rep
Alzate-Grisales JA, Mora-Rubio A, Perán-Teruel M, Beltrán AN, Torres CR, García JMO, García-García F, Tabares-Soto R, García-Gómez JM, de la Iglesia-Vayá M.   +9 more
europepmc   +1 more source

STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding

Journal of Intelligent Medicine, EarlyView.
STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
wiley   +1 more source

Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model. [PDF]

Discov Nano
Reddisekhar Reddy SR, Vijayalakshmi P, Rupa ML, Avanthika S, Maanav A, Jakeer S.   +5 more
europepmc   +1 more source