Results 131 to 140 of about 38,453 (306)

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Programming Next‐Generation Synthetic Biosensors by Genetic Circuit Design

Advanced Science, EarlyView.
Synthetic biology enables genetic circuit‐based biosensing to detect diverse targets, process signals, and transduce them into readable outputs or intracellular regulatory activities. However, field deployment and real‐world application of such synthetic biosensors face considerable challenges in sensitivity, specificity, speed, stability, and ...
Yuanli Gao, Cheng Huang, Jiaxuan Deng, Lei Wang, Baojun Wang   +4 more
wiley   +1 more source

Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network

IEEE Access
This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques.
Sakorn Mekruksavanich, Anuchit Jitpattanakul   +1 more
doaj   +1 more source

Molecular Sieve Promoted Growth of Ferroelectric Trilayer 3R‐MoS2 for Polarization‐Dependent Reconfigurable Optoelectronic Synapses

Advanced Science, EarlyView.
The noncentrosymmetric trilayer rhombohedral‐stacked MoS2 nanoflakes with enhanced sliding ferroelectric properties are synthesized via a molecular sieve‐assisted chemical vapor deposition process. The switchable polarization states, combined with the exceptional light/gate voltage modulated electrical properties of these nanoflakes, enable broadband ...
Qichao Xue, Jincheng Zhang, Yuying Wang, Yu Wang, Kuiwei Li, Yuxuan Chen, Fang Zhong, Qing Li, Ning Zhou, Chenying Yang, Yuchuan Shao, Tao Liang   +11 more
wiley   +1 more source

Fatigue Detection from 3D Motion Capture Data Using a Bidirectional GRU with Attention

Applied Sciences
Exercise-induced fatigue can degrade athletic performance and increase injury risk, yet traditional fatigue assessments often rely on subjective measures.
Ziyang Wang, Xueyi Liu, Yikang Wang
doaj   +1 more source

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

Advanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu, Lifang Hu, RuoXuan Zhao, ZhiYong Hou, JinYu Tian   +4 more
wiley   +1 more source

Transmission Line Icing Prediction Based on Dynamic Time Warping and Conductor Operating Parameters

Energies
Aiming to improve on the low accuracy of current transmission line icing prediction models and ignoring the objective law of icing of transmission lines, a transmission line icing prediction model considering the effect of transmission line tension on ...
Feng Wang, Hongbo Lin, Ziming Ma
doaj   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Deep Learning Framework for Sentiment Prediction using Residual Connections in Bidirectional – Gated Recurrent Unit

International Islamic University Malaysia Engineering Journal
Sentiment analysis plays an essential role in Natural Language Processing (NLP) for differentiating emotions and opinions expressed in various pieces of text.
Varsha Nagaraju, Muthalambika Chaluvegowda Padma   +1 more
doaj   +1 more source

Hyperparameter Tuning Bidirectional Gated Recurrent Unit Model for Oral Cancer Classification

Computers, Materials & Continua, 2022
K. Shankar, E. Laxmi Lydia, Sachin Kumar, Ali S. Abosinne, Ahmed alkhayyat, A. H. Abbas, Sarmad Nozad Mahmood   +6 more
openaire   +1 more source