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Refinado por: assunto: Artificial Neural Networks remover Nome da Publicação: Electronics remover
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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
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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6
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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7
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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8
Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management
Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management
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Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management

Kannan, Srihari ; Dhiman, Gaurav ; Natarajan, Yuvaraj ; Sharma, Ashutosh ; Mohanty, Sachi Nandan ; Soni, Mukesh ; Easwaran, Udayakumar ; Ghorbani, Hamidreza ; Asheralieva, Alia ; Gheisari, Mehdi

Electronics (Basel), 2021-04, Vol.10 (7), p.785 [Periódico revisado por pares]

Basel: MDPI AG

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9
SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection
SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection
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SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection

Khare, Neelu ; Devan, Preethi ; Chowdhary, Chiranji ; Bhattacharya, Sweta ; Singh, Geeta ; Singh, Saurabh ; Yoon, Byungun

Electronics (Basel), 2020-04, Vol.9 (4), p.692 [Periódico revisado por pares]

Basel: MDPI AG

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10
Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach
Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach
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Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

Hassan, Sk Mahmudul ; Maji, Arnab Kumar ; Jasiński, Michał ; Leonowicz, Zbigniew ; Jasińska, Elżbieta

Electronics (Basel), 2021-06, Vol.10 (12), p.1388 [Periódico revisado por pares]

Basel: MDPI AG

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