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1
Ensemble of Deep Convolutional Learning Classifier System Based on Genetic Algorithm for Database Intrusion Detection
Ensemble of Deep Convolutional Learning Classifier System Based on Genetic Algorithm for Database Intrusion Detection
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Ensemble of Deep Convolutional Learning Classifier System Based on Genetic Algorithm for Database Intrusion Detection

Electronics (Basel), 2022-03, Vol.11 (5), p.745 [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/electronics11050745

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2
A Hand Gesture Recognition Circuit Utilizing an Analog Voting Classifier
A Hand Gesture Recognition Circuit Utilizing an Analog Voting Classifier
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A Hand Gesture Recognition Circuit Utilizing an Analog Voting Classifier

Electronics (Basel), 2022-11, Vol.11 (23), p.3915 [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/electronics11233915

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3
An Optimized Stacking Ensemble Model for Phishing Websites Detection
An Optimized Stacking Ensemble Model for Phishing Websites Detection
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An Optimized Stacking Ensemble Model for Phishing Websites Detection

Electronics (Basel), 2021-06, Vol.10 (11), p.1285 [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/electronics10111285

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4
Does Deep Learning Work Well for Categorical Datasets with Mainly Nominal Attributes?
Does Deep Learning Work Well for Categorical Datasets with Mainly Nominal Attributes?
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Does Deep Learning Work Well for Categorical Datasets with Mainly Nominal Attributes?

Electronics (Basel), 2020-11, Vol.9 (11), p.1966 [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/electronics9111966

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5
Classification of Hand Movements Using MYO Armband on an Embedded Platform
Classification of Hand Movements Using MYO Armband on an Embedded Platform
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Classification of Hand Movements Using MYO Armband on an Embedded Platform

Electronics (Basel), 2021-06, Vol.10 (11), p.1322 [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/electronics10111322

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6
Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers
Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers
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Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers

Electronics (Basel), 2024-04, Vol.13 (7), p.1322 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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/electronics13071322

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7
Integrating Sensor Systems and Signal Processing for Sustainable Production: Analysis of Cutting Tool Condition
Integrating Sensor Systems and Signal Processing for Sustainable Production: Analysis of Cutting Tool Condition
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Integrating Sensor Systems and Signal Processing for Sustainable Production: Analysis of Cutting Tool Condition

Electronics (Basel), 2024-01, Vol.13 (1), p.185 [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/electronics13010185

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8
Incremental Scene Classification Using Dual Knowledge Distillation and Classifier Discrepancy on Natural and Remote Sensing Images
Incremental Scene Classification Using Dual Knowledge Distillation and Classifier Discrepancy on Natural and Remote Sensing Images
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Incremental Scene Classification Using Dual Knowledge Distillation and Classifier Discrepancy on Natural and Remote Sensing Images

Electronics (Basel), 2024-01, Vol.13 (3), p.583 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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/electronics13030583

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9
Detection of Image Steganography Using Deep Learning and Ensemble Classifiers
Detection of Image Steganography Using Deep Learning and Ensemble Classifiers
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Detection of Image Steganography Using Deep Learning and Ensemble Classifiers

Electronics (Basel), 2022-05, Vol.11 (10), p.1565 [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/electronics11101565

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10
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
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Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine

Electronics (Basel), 2020-01, Vol.9 (1), p.173 [Peer Reviewed Journal]

2020 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/electronics9010173

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11
General Methodology for the Design of Bell-Shaped Analog-Hardware Classifiers
General Methodology for the Design of Bell-Shaped Analog-Hardware Classifiers
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General Methodology for the Design of Bell-Shaped Analog-Hardware Classifiers

Electronics (Basel), 2023-10, Vol.12 (20), p.4211 [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/electronics12204211

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12
An Iterative Learning Scheme with Binary Classifier for Improved Event Detection in Surveillance Video
An Iterative Learning Scheme with Binary Classifier for Improved Event Detection in Surveillance Video
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An Iterative Learning Scheme with Binary Classifier for Improved Event Detection in Surveillance Video

Electronics (Basel), 2023-08, Vol.12 (15), p.3275 [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/electronics12153275

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13
A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
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A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks

Electronics (Basel), 2019-11, Vol.8 (11), p.1210 [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/electronics8111210

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14
A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
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A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches

Electronics (Basel), 2021-03, Vol.10 (6), p.699 [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/electronics10060699

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15
Deep Learning for Activity Recognition Using Audio and Video
Deep Learning for Activity Recognition Using Audio and Video
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Deep Learning for Activity Recognition Using Audio and Video

Electronics (Basel), 2022-03, Vol.11 (5), p.782 [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/electronics11050782

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16
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
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Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids

Electronics (Basel), 2019-02, Vol.8 (2), p.122 [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/electronics8020122

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17
Face Aging with Feature-Guide Conditional Generative Adversarial Network
Face Aging with Feature-Guide Conditional Generative Adversarial Network
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Face Aging with Feature-Guide Conditional Generative Adversarial Network

Electronics (Basel), 2023-05, Vol.12 (9), p.2095 [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/electronics12092095

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18
Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices
Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices
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Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices

Electronics (Basel), 2021-03, Vol.10 (5), p.600 [Peer Reviewed Journal]

ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10050600

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19
Intrusion Detection in Intelligent Connected Vehicles Based on Weighted Self-Information
Intrusion Detection in Intelligent Connected Vehicles Based on Weighted Self-Information
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Intrusion Detection in Intelligent Connected Vehicles Based on Weighted Self-Information

Electronics (Basel), 2023-06, Vol.12 (11), p.2510 [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/electronics12112510

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20
A QoS Classifier Based on Machine Learning for Next-Generation Optical Communication
A QoS Classifier Based on Machine Learning for Next-Generation Optical Communication
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A QoS Classifier Based on Machine Learning for Next-Generation Optical Communication

Electronics (Basel), 2022-08, Vol.11 (16), p.2619 [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/electronics11162619

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