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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
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
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Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

Lopez-Martin, Manuel ; Carro, Belen ; Sanchez-Esguevillas, Antonio ; Lloret, Jaime

IEEE access, 2017-01, Vol.5, p.18042-18050 [Periódico revisado por pares]

Piscataway: IEEE

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4
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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5
5G Vehicular Network Resource Management for Improving Radio Access Through Machine Learning
5G Vehicular Network Resource Management for Improving Radio Access Through Machine Learning
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5G Vehicular Network Resource Management for Improving Radio Access Through Machine Learning

Khan, Sahrish ; Khattak, Hasan Ali ; Almogren, Ahmad ; Shah, Munam Ali ; Ud Din, Ikram ; Alkhalifa, Ibrahim ; Guizani, Mohsen

IEEE access, 2020, Vol.8, p.6792-6800 [Periódico revisado por pares]

Piscataway: IEEE

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6
Deep Learning in Microscopy Image Analysis: A Survey
Deep Learning in Microscopy Image Analysis: A Survey
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Deep Learning in Microscopy Image Analysis: A Survey

Xing, Fuyong ; Xie, Yuanpu ; Su, Hai ; Liu, Fujun ; Yang, Lin

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4550-4568

United States: IEEE

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7
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
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Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Capra, Maurizio ; Bussolino, Beatrice ; Marchisio, Alberto ; Masera, Guido ; Martina, Maurizio ; Shafique, Muhammad

IEEE access, 2020, Vol.8, p.225134-225180 [Periódico revisado por pares]

Piscataway: IEEE

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8
Review of Deep Learning Algorithms and Architectures
Review of Deep Learning Algorithms and Architectures
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Review of Deep Learning Algorithms and Architectures

Shrestha, Ajay ; Mahmood, Ausif

IEEE access, 2019, Vol.7, p.53040-53065 [Periódico revisado por pares]

Piscataway: IEEE

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9
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
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Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment

Zhang, Pengbo ; Wang, Xue ; Zhang, Weihang ; Chen, Junfeng

IEEE transactions on neural systems and rehabilitation engineering, 2019-01, Vol.27 (1), p.31-42 [Periódico revisado por pares]

United States: IEEE

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10
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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