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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

New York, NY: IEEE

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2
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
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Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective

Shuai Li ; Jinbo He ; Yangming Li ; Rafique, Muhammad Usman

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.415-426

United States: IEEE

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3
Deep Reinforcement Learning-Based Routing and Spectrum Assignment of EONs by Exploiting GCN and RNN for Feature Extraction
Deep Reinforcement Learning-Based Routing and Spectrum Assignment of EONs by Exploiting GCN and RNN for Feature Extraction
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Deep Reinforcement Learning-Based Routing and Spectrum Assignment of EONs by Exploiting GCN and RNN for Feature Extraction

Xu, Liufei ; Huang, Yue-Cai ; Xue, Yun ; Hu, Xiaohui

Journal of lightwave technology, 2022-08, Vol.40 (15), p.4945-4955 [Periódico revisado por pares]

New York: IEEE

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4
A survey on communication networks for electric system automation
A survey on communication networks for electric system automation
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A survey on communication networks for electric system automation

Gungor, V.C. ; Lambert, F.C.

Computer networks (Amsterdam, Netherlands : 1999), 2006-05, Vol.50 (7), p.877-897 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network

Liu, Yu-Ting ; Lin, Yang-Yin ; Wu, Shang-Lin ; Chuang, Chun-Hsiang ; Lin, Chin-Teng

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.347-360

United States: IEEE

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6
Enabling Optical Network Technologies for 5G and Beyond
Enabling Optical Network Technologies for 5G and Beyond
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Enabling Optical Network Technologies for 5G and Beyond

Liu, Xiang

Journal of lightwave technology, 2022-01, Vol.40 (2), p.358-367 [Periódico revisado por pares]

New York: IEEE

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7
GNN-Based Hierarchical Deep Reinforcement Learning for NFV-Oriented Online Resource Orchestration in Elastic Optical DCIs
GNN-Based Hierarchical Deep Reinforcement Learning for NFV-Oriented Online Resource Orchestration in Elastic Optical DCIs
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GNN-Based Hierarchical Deep Reinforcement Learning for NFV-Oriented Online Resource Orchestration in Elastic Optical DCIs

Li, Baojia ; Zhu, Zuqing

Journal of lightwave technology, 2022-02, Vol.40 (4), p.935-946 [Periódico revisado por pares]

New York: IEEE

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8
Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification
Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification
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Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification

Zhu, Minghao ; Jiao, Licheng ; Liu, Fang ; Yang, Shuyuan ; Wang, Jianing

IEEE transactions on geoscience and remote sensing, 2021-01, Vol.59 (1), p.449-462 [Periódico revisado por pares]

New York: IEEE

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9
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
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Supervised Learning Based on Temporal Coding in Spiking Neural Networks

Mostafa, Hesham

IEEE transaction on neural networks and learning systems, 2018-07, Vol.29 (7), p.3227-3235

United States: IEEE

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10
Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles
Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles
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Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles

Zhu Han ; Swindlehurst, A.L. ; Liu, K.

IEEE transactions on vehicular technology, 2009-09, Vol.58 (7), p.3533-3546 [Periódico revisado por pares]

New York, NY: IEEE

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