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21
Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
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Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier

Energies (Basel), 2021-05, Vol.14 (10), p.2970 [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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en14102970

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22
CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
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CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

IEEE access, 2020, Vol.8, p.132911-132921 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3009843 ;CODEN: IAECCG

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23
Basket Classifier: Fast and Optimal Restructuring of the Classifier for Differing Train and Target Samples
Basket Classifier: Fast and Optimal Restructuring of the Classifier for Differing Train and Target Samples
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Basket Classifier: Fast and Optimal Restructuring of the Classifier for Differing Train and Target Samples

EPJ Web of Conferences, 2021, Vol.251, p.3069 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2100-014X ;ISSN: 2101-6275 ;EISSN: 2100-014X ;DOI: 10.1051/epjconf/202125103069

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24
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model
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Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model

Sensors (Basel, Switzerland), 2020-06, Vol.20 (11), p.3173 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20113173 ;PMID: 32503198

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25
EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers
EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers
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EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers

Informatics in medicine unlocked, 2021-01, Vol.22, p.100505-100505, Article 100505 [Peer Reviewed Journal]

2020 The Author(s) ;2020 The Author(s). ;2020 The Author(s) 2020 ;ISSN: 2352-9148 ;EISSN: 2352-9148 ;DOI: 10.1016/j.imu.2020.100505 ;PMID: 33363252

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26
Classifier Chains: A Review and Perspectives
Classifier Chains: A Review and Perspectives
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Classifier Chains: A Review and Perspectives

The Journal of artificial intelligence research, 2021-02, Vol.70, p.683-718 [Peer Reviewed Journal]

2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12376

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27
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061229 ;PMID: 28555016

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28
Review of Different Combinations of Facial Expression Recognition System
Review of Different Combinations of Facial Expression Recognition System
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Review of Different Combinations of Facial Expression Recognition System

Journal of physics. Conference series, 2020-07, Vol.1591 (1), p.12020 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1591/1/012020

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29
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
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Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Nature communications, 2018-06, Vol.9 (1), p.2331-7, Article 2331 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-04482-4 ;PMID: 29899421

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30
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
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Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.7020 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22187020 ;PMID: 36146369

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31
A comprehensive evaluation of ensemble learning for stock-market prediction
A comprehensive evaluation of ensemble learning for stock-market prediction
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A comprehensive evaluation of ensemble learning for stock-market prediction

Journal of big data, 2020-03, Vol.7 (1), p.1-40, Article 20 [Peer Reviewed Journal]

The Author(s) 2020 ;Journal of Big Data is a copyright of Springer, (2020). All Rights Reserved. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-020-00299-5

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32
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors
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Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4917 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21144917 ;PMID: 34300655

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33
Is Group Means Imputation Any Better Than Mean Imputation: A Study Using C5.0 Classifier
Is Group Means Imputation Any Better Than Mean Imputation: A Study Using C5.0 Classifier
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Is Group Means Imputation Any Better Than Mean Imputation: A Study Using C5.0 Classifier

Journal of physics. Conference series, 2018-07, Vol.1060 (1), p.12014 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1060/1/012014

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34
Predicting Mental Health Illness using Machine Learning Algorithms
Predicting Mental Health Illness using Machine Learning Algorithms
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Predicting Mental Health Illness using Machine Learning Algorithms

Journal of physics. Conference series, 2022-01, Vol.2161 (1), p.12021 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2161/1/012021

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35
A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks
A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks
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A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4383 [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. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19204383 ;PMID: 31658774

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36
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
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PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets

BMC bioinformatics, 2021-06, Vol.22 (1), p.1-349, Article 349 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04270-w ;PMID: 34174810

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37
NORTHERN PWO KAREN NUMERAL CLASSIFIERS: SEMANTIC CATEGORIES AND STRUCTURES
NORTHERN PWO KAREN NUMERAL CLASSIFIERS: SEMANTIC CATEGORIES AND STRUCTURES
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NORTHERN PWO KAREN NUMERAL CLASSIFIERS: SEMANTIC CATEGORIES AND STRUCTURES

Journal of the Southeast Asian Linguistics Society, 2023-03, Vol.16 (1), p.i-xix [Peer Reviewed Journal]

COPYRIGHT 2023 University of Hawaii Press ;ISSN: 1836-6821 ;EISSN: 1836-6821

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38
A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters
A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters
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A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

IEEE access, 2019, Vol.7, p.118310-118321 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2936454 ;CODEN: IAECCG

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39
GA-MKB:A Multi-kernel Boosting Learning Method based on Normalized Kernel Target Alignment and Kernel Difference
GA-MKB:A Multi-kernel Boosting Learning Method based on Normalized Kernel Target Alignment and Kernel Difference
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GA-MKB:A Multi-kernel Boosting Learning Method based on Normalized Kernel Target Alignment and Kernel Difference

Journal of physics. Conference series, 2022-06, Vol.2281 (1), p.12012 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2281/1/012012

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40
An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition
An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition
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An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition

Sensors (Basel, Switzerland), 2017-09, Vol.17 (9), p.2020 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17092020 ;PMID: 28869537

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