Results 211 to 220 of about 95,729 (257)

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

Advanced Science, EarlyView.
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong, Wenbin Zhang, Yu‐Xiang Zeng, JiYu Zhao, Ziqi Jia, Loganathan Veeramuthu, Guanglong Ding, Yan Yan, Meng Zhang, Su‐Ting Han, Vellaisamy A. L. Roy, Fengyun Wang, Chi‐Ching Kuo, Ye Zhou   +13 more
wiley   +1 more source

Flexible Unusual Ternary‐Component Graded‐Modulus Dielectric Films with High‐Density Capacitive Energy Storage

Advanced Science, EarlyView.
Hierarchical PP–LSR107–BaTiO3 nanocomposite films are fabricated by one‐step extrusion and stretching for roll‐to‐roll manufacture, combining high energy storage and processing flexibility. LSR107 surrounds BaTiO3‐rich regions, locating amorphous PP, decreasing defects, and introducing deep traps that homogenize the electric field and suppress charge ...
Yi Gao, Xin‐Jie Wang, Lei Huang, Kun Xing, Baoquan Wan, Yan‐Hui Song, Jian‐Tao Wang, Li‐Juan Yin, Tong Liang, Yan Meng, Zunpeng Feng, Kai Huang, Ke Bi, Shao‐Long Zhong, Zhi‐Min Dang   +14 more
wiley   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

FC-TFS-CGRU: A Temporal-Frequency-Spatial Electroencephalography Emotion Recognition Model Based on Functional Connectivity and a Convolutional Gated Recurrent Unit Hybrid Architecture. [PDF]

Sensors (Basel)
Wu X, Zhang Y, Li J, Yang H, Wu X.
europepmc   +1 more source

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Data-Driven Prognostic Scheme for Bearings Based on a Novel Health Indicator and Gated Recurrent Unit Network

IEEE Transactions on Industrial Informatics, 2023
The prognosis of bearings is vital for condition-based maintenance of rotating machinery. This article proposes a systematic prognostic scheme for rolling element bearings.
Qing Ni, Jinchen Ji, Ke Feng
semanticscholar   +1 more source

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

Journal of Power Sources, 2022
Zheng Chen, Hongqian Zhao, Yuanjian Zhang   +2 more
exaly   +2 more sources

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

Reliability Engineering and System Safety, 2022
Jiusi Zhang, Yuchen Jiang, Shimeng Wu
exaly   +2 more sources

Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction

IEEE Transactions on Industrial Informatics, 2023
Remaining useful life (RUL) prediction can provide a foundation for the operation and maintenance of industrial equipment. In order to improve the predictive ability for the complex degradation trajectory, a new dual-thread gated recurrent unit (DTGRU ...
Jianghong Zhou, Yi Qin, Jun Luo, Shilong Wang, Tao Zhu   +4 more
semanticscholar   +1 more source

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion

IEEE Transactions on Affective Computing, 2023
Automatic emotion recognition based on electroencephalogram (EEG) has attracted rapidly increasing interests. Due to large inter-subject variabilities, subject-independent emotion recognition faces great challenges.
Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen   +5 more
semanticscholar   +1 more source

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

Energy, 2021
To reduce the influence of the measurement data noise on state of charge (SOC) estimation, a novel neural network method is proposed by combining an input data processing method with the conventional gated recurrent unit recurrent neural network (GRU-RNN)
Junxiong Chen, Qiao Zhu
exaly   +2 more sources