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Refinado por: Base de dados/Biblioteca: DOAJ Directory of Open Access Journals remover assunto: Artificial Neural Networks remover
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1
A State-of-the-Art Survey on Deep Learning Theory and Architectures
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A State-of-the-Art Survey on Deep Learning Theory and Architectures

Alom, Md Zahangir ; Taha, Tarek M. ; Yakopcic, Chris ; Westberg, Stefan ; Sidike, Paheding ; Nasrin, Mst Shamima ; Hasan, Mahmudul ; Van Essen, Brian C. ; Awwal, Abdul A. S. ; Asari, Vijayan K.

Electronics (Basel), 2019-03, Vol.8 (3), p.292 [Periódico revisado por pares]

Basel: MDPI AG

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2
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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3
Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
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Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

Nasrullah, Nasrullah ; Sang, Jun ; Alam, Mohammad S ; Mateen, Muhammad ; Cai, Bin ; Hu, Haibo

Sensors (Basel, Switzerland), 2019-08, Vol.19 (17), p.3722 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Ma, Xiaolei ; Dai, Zhuang ; He, Zhengbing ; Ma, Jihui ; Wang, Yong ; Wang, Yunpeng

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.818 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
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Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

Al-Emadi, Sara ; Al-Ali, Abdulla ; Al-Ali, Abdulaziz

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.4953 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
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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7
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Kang, Min-Joo ; Kang, Je-Won Tang, Tieqiao

PloS one, 2016-06, Vol.11 (6), p.e0155781-e0155781 [Periódico revisado por pares]

United States: Public Library of Science

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8
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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9
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
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Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

Zhao, Rui ; Yan, Ruqiang ; Wang, Jinjiang ; Mao, Kezhi

Sensors (Basel, Switzerland), 2017-01, Vol.17 (2), p.273-273 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Alzubaidi, Laith ; Zhang, Jinglan ; Humaidi, Amjad J. ; Al-Dujaili, Ayad ; Duan, Ye ; Al-Shamma, Omran ; Santamaría, J. ; Fadhel, Mohammed A. ; Al-Amidie, Muthana ; Farhan, Laith

Journal of Big Data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Periódico revisado por pares]

Cham: Springer International Publishing

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