Results 171 to 180 of about 80,914 (224)

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

Prediction of Over-the-Horizon Electromagnetic Wave Propagation in Evaporation Ducts Based on the Gated Recurrent Unit Network Model

IEEE Transactions on Antennas and Propagation, 2023
Evaporation ducts have a significant impact on electromagnetic (EM) wave propagation. The accurate prediction of EM propagation loss (PL) is important for the practical application of EM systems.
Shuwen Wang, Kunde Yang, Yang Shi, Fan Yang, Hao Zhang, Yuanliang Ma   +5 more
semanticscholar   +1 more source

A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023
In this paper, for the first time, the deep gated recurrent unit (Deep GRU) is used as a new macromodeling approach for nonlinear circuits. Similar to Long Short-Term Memory (LSTM), the GRU has gating units that control the information flow and makes the
Amin Faraji, Sayed Alireza Sadrossadat, W. Na, F. Feng, Qi-jun Zhang   +4 more
semanticscholar   +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   +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

A Hybrid Autoencoder and Gated Recurrent Unit Model Optimized by Honey Badger Algorithm for Enhanced Cyber Threat Detection in IoT Networks

Security and Privacy
The widespread adoption of Internet of Things (IoT) devices has introduced significant security challenges, with cyber threats becoming increasingly sophisticated.
Santosh Reddy Addula, M. Meesala, Pavankumar Ravipati, Guna Sekha Sajja   +3 more
semanticscholar   +1 more source

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 Novel Residual Gated Recurrent Unit Framework for Runoff Forecasting

IEEE Internet of Things Journal, 2023
Runoff forecasting is the key to the rational use and protection of water resources by mankind. The large-scale application of machine learning and neural networks in hydrological models has made accurate and reliable short-term runoff forecasting ...
Ziyu Sheng, Shiping Wen, Zhong-kai Feng, Kaibo Shi, Tingwen Huang   +4 more
semanticscholar   +1 more source

A Gated Recurrent Unit based Echo State Network

2020 International Joint Conference on Neural Networks (IJCNN), 2020
Echo State Network (ESN) is a fast and efficient recurrent neural network with a sparsely connected reservoir and a simple linear output layer, which has been widely used for real-world prediction problems. However, the capability of the ESN of handling complex nonlinear problems is limited by the relatively simple neuronal dynamics in the reservoir ...
Wang, Xinjie, Jin, Yaochu, Hao, Kuangrong   +2 more
openaire   +2 more sources

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

IEEE Transactions on Industrial Electronics, 2018
Rui Zhao, Dongzhe Wang, Ruqiang Yan
exaly   +2 more sources