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1
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

Electronics (Basel), 2019-03, Vol.8 (3), p.292 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8030292

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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

Electronics (Basel), 2019-06, Vol.8 (6), p.661 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8060661

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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

Electronics (Basel), 2020-06, Vol.9 (6), p.916 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9060916

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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

Electronics (Basel), 2019-08, Vol.8 (8), p.876 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8080876

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5
Deep Learning Model of Sleep EEG Signal by Using Bidirectional Recurrent Neural Network Encoding and Decoding
Deep Learning Model of Sleep EEG Signal by Using Bidirectional Recurrent Neural Network Encoding and Decoding
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Deep Learning Model of Sleep EEG Signal by Using Bidirectional Recurrent Neural Network Encoding and Decoding

Electronics (Basel), 2022-08, Vol.11 (17), p.2644 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11172644

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6
Deep Learning for Depression Detection from Textual Data
Deep Learning for Depression Detection from Textual Data
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Deep Learning for Depression Detection from Textual Data

Electronics (Basel), 2022-03, Vol.11 (5), p.676 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11050676

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7
Deep Learning Techniques for Android Botnet Detection
Deep Learning Techniques for Android Botnet Detection
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Deep Learning Techniques for Android Botnet Detection

Electronics (Basel), 2021-02, Vol.10 (4), p.519 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10040519

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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

Electronics (Basel), 2021-04, Vol.10 (7), p.785 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10070785

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9
Phishing Email Detection Model Using Deep Learning
Phishing Email Detection Model Using Deep Learning
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Phishing Email Detection Model Using Deep Learning

Electronics (Basel), 2023-10, Vol.12 (20), p.4261 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12204261

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10
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
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CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

Electronics (Basel), 2021-10, Vol.10 (20), p.2470 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10202470

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11
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

Electronics (Basel), 2021-06, Vol.10 (11), p.1257 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10111257

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12
A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning
A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning
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A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning

Electronics (Basel), 2021-01, Vol.10 (1), p.81 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10010081

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13
Ensemble Malware Classification System Using Deep Neural Networks
Ensemble Malware Classification System Using Deep Neural Networks
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Ensemble Malware Classification System Using Deep Neural Networks

Electronics (Basel), 2020-05, Vol.9 (5), p.721 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9050721

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14
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
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Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images

Electronics (Basel), 2022-11, Vol.11 (22), p.3798 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11223798

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15
A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis
A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis
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A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis

Electronics (Basel), 2021-09, Vol.10 (17), p.2132 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10172132

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16
Collaborative Filtering-Based Recommendation Systems for Touristic Businesses, Attractions, and Destinations
Collaborative Filtering-Based Recommendation Systems for Touristic Businesses, Attractions, and Destinations
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Collaborative Filtering-Based Recommendation Systems for Touristic Businesses, Attractions, and Destinations

Electronics (Basel), 2023-10, Vol.12 (19), p.4047 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12194047

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17
Artificial Neural Networks Based Optimization Techniques: A Review
Artificial Neural Networks Based Optimization Techniques: A Review
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Artificial Neural Networks Based Optimization Techniques: A Review

Electronics (Basel), 2021-11, Vol.10 (21), p.2689 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10212689

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18
Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data
Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data
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Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data

Electronics (Basel), 2021-07, Vol.10 (14), p.1715 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10141715

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19
Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications
Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications
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Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications

Electronics (Basel), 2023-12, Vol.12 (24), p.4925 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12244925

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20
Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection
Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection
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Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection

Electronics (Basel), 2021-02, Vol.10 (4), p.485 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10040485

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