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A State-of-the-Art Survey on Deep Learning Theory and Architectures
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
A Review of Binarized Neural Networks
A Review of Binarized Neural Networks
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A Review of Binarized Neural Networks

Simons, Taylor ; Lee, Dah-Jye

Electronics (Basel), 2019-06, Vol.8 (6), p.661 [Periódico revisado por pares]

Basel: MDPI AG

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3
CNN-Based Network Intrusion Detection against Denial-of-Service Attacks
CNN-Based Network Intrusion Detection against Denial-of-Service Attacks
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CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

Kim, Jiyeon ; Kim, Jiwon ; Kim, Hyunjung ; Shim, Minsun ; Choi, Eunjung

Electronics (Basel), 2020-06, Vol.9 (6), p.916 [Periódico revisado por pares]

Basel: MDPI AG

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4
Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
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Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting

Wan, Renzhuo ; Mei, Shuping ; Wang, Jun ; Liu, Min ; Yang, Fan

Electronics (Basel), 2019-08, Vol.8 (8), p.876 [Periódico revisado por pares]

Basel: MDPI AG

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5
Sentiment Analysis Based on Deep Learning: A Comparative Study
Sentiment Analysis Based on Deep Learning: A Comparative Study
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Sentiment Analysis Based on Deep Learning: A Comparative Study

Dang, Nhan Cach ; Moreno-García, María N. ; De la Prieta, Fernando

Electronics (Basel), 2020-03, Vol.9 (3), p.483 [Periódico revisado por pares]

Basel: MDPI AG

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6
LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection
LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection
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LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection

Damasevicius, Robertas ; Venckauskas, Algimantas ; Grigaliunas, Sarunas ; Toldinas, Jevgenijus ; Morkevicius, Nerijus ; Aleliunas, Tautvydas ; Smuikys, Paulius

Electronics (Basel), 2020-05, Vol.9 (5), p.800 [Periódico revisado por pares]

Basel: MDPI AG

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7
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
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Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0

Ferrag, Mohamed Amine ; Shu, Lei ; Djallel, Hamouda ; Choo, Kim-Kwang Raymond

Electronics (Basel), 2021-06, Vol.10 (11), p.1257 [Periódico revisado por pares]

Basel: MDPI AG

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8
CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET
CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET
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CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET

Dhar, Argha Chandra ; Roy, Arna ; Akhand, M. A. H. ; Kamal, Md Abdus Samad

Electronics (Basel), 2023-09, Vol.12 (18), p.3779 [Periódico revisado por pares]

Basel: MDPI AG

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9
Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence
Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence
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Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence

Guo, Aipeng ; Yuan, Chunhui

Electronics (Basel), 2021-03, Vol.10 (6), p.700 [Periódico revisado por pares]

Basel: MDPI AG

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10
An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks
An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks
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An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks

Abu Al-Haija, Qasem ; Zein-Sabatto, Saleh

Electronics (Basel), 2020-12, Vol.9 (12), p.2152 [Periódico revisado por pares]

Basel: MDPI AG

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