Results 251 to 260 of about 2,625,571 (293)

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

Advanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang, San Nam, Dayul Nam, In‐Soo Kim, Myung‐Gil Kim, Sung Kyu Park, Yong‐Hoon Kim   +6 more
wiley   +1 more source

Oral cancer diagnosis based on gated recurrent unit networks optimized by an improved version of Northern Goshawk optimization algorithm. [PDF]

Heliyon
Zhang L, Shi R, Youssefi N.
europepmc   +1 more source

Anisotropic Memristive Switching in NbOCl2 Enabled by Directional Oxygen Ion Migration

Advanced Science, EarlyView.
This study investigates strongly orientation‐dependent memristive switching in anisotropic NbOCl2, observed exclusively along the in‐plane c‐axis. The switching originates from direction‐selective oxygen‐ion migration and vacancy propagation that modulate the Pd/NbOCl2 Schottky barrier, enabling short‐term plasticity.
Caokun Wang, Yun Ji, Sanchali Mitra, Yufei Shi, Haofei Zheng, Yee Sin Ang, Kah‐Wee Ang   +6 more
wiley   +1 more source

Minimal gated unit for recurrent neural networks [PDF]

International Journal of Automation and Computing, 2016
Recently recurrent neural networks (RNN) has been very successful in handling sequence data. However, understanding RNN and finding the best practices for RNN is a difficult task, partly because there are many competing and complex hidden units (such as LSTM and GRU).
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang   +2 more
exaly   +4 more sources

An Autoencoder Gated Recurrent Unit for Remaining Useful Life Prediction

Processes, 2020
With the development of smart manufacturing, in order to detect abnormal conditions of the equipment, a large number of sensors have been used to record the variables associated with production equipment. This study focuses on the prediction of Remaining
Chia-Yu Hsu
exaly   +2 more sources

Plant Classification Based on Gated Recurrent Unit [PDF]

, 2018
Classification of plants based on a multi-organ approach is very challenging due to the variability in shape and appearance in plant organs. Despite promising solutions built using convolutional neural network (CNN) for plant classification, the existing approaches do not consider the correspondence between different views captured of a plant. In fact,
Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Alexis Joly, Pierre Bonnet, Hervé Goëau   +5 more
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Arabic Diacritization with Gated Recurrent Unit

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Arabic and similar languages require the use of diacritics in order to determine the necessary parameters to pronounce and identify every part of the speech correctly. Therefore, when it comes to perform Natural Language Processing (NLP) over Arabic, diacritization is a crucial step.
Rajae Moumen, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia   +3 more
openaire   +1 more source

Gated Recurrent Units for Intrusion Detection

2019
As the arms race between the new kinds of attacks and new ways to detect and prevent those attacks continues, better and better algorithms have to be developed to stop the malicious agents dead in their tracks. In this paper, we evaluate the use of one of the youngest additions to the deep learning architectures, the Gated Recurrent Unit for its ...
Marek Pawlicki, Adam Marchewka, Michal Choras, Rafal Kozik   +3 more
openaire   +2 more sources

Attention-Based Gated Recurrent Unit for Gesture Recognition

IEEE Transactions on Automation Science and Engineering, 2021
Gesture recognition becomes a thriving research area in modern human motion recognition systems. The intensification of demands on efficient interactive human–machine-interface systems, commercial objectives, and many other factors contributes to fuel this revival dynamics.
Khodabandelou, Ghazaleh, Jung, Pyeong-Gook, Amirat, Yacine, Mohammed, Samer   +3 more
openaire   +1 more source

A n-Gated Recurrent Unit with review for answer selection

Neurocomputing, 2020
Abstract Answer selection is one of the most important techniques in question answering applications since it can improve the user experience to a large extend. To achieve a better answer selection performance, a fundamental approach is to better understand the answers and questions.
Dongge Tang, Wenge Rong, Shuang Qin, Jianxin Yang, Zhang Xiong 0001   +4 more
openaire   +1 more source