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1
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy (Basel, Switzerland), 2021-06, Vol.23 (6), p.762 [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: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e23060762 ;PMID: 34208777

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2
An overview on twin support vector machines
An overview on twin support vector machines
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An overview on twin support vector machines

The Artificial intelligence review, 2014-08, Vol.42 (2), p.245-252 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2012 ;Springer Science+Business Media Dordrecht 2014 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-012-9336-0

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3
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
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DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

Briefings in bioinformatics, 2020-09, Vol.21 (5), p.1733-1741 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbz098

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4
Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images
Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images
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Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images

Scientific reports, 2024-04, Vol.14 (1), p.9136-9136 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-59811-z ;PMID: 38644440

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5
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
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Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Landslides, 2016-04, Vol.13 (2), p.361-378 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2015 ;Springer-Verlag Berlin Heidelberg 2016 ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-015-0557-6

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6
Research on SVM Remote Sensing Image Classification Based on Parallelization
Research on SVM Remote Sensing Image Classification Based on Parallelization
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Research on SVM Remote Sensing Image Classification Based on Parallelization

Journal of physics. Conference series, 2021-04, Vol.1852 (3), p.32009 [Peer Reviewed Journal]

2021. 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: 10.1088/1742-6596/1852/3/032009

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7
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
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Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

IEEE access, 2018-01, Vol.6, p.33789-33795 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2841987 ;CODEN: IAECCG

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8
Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information
Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information
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Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

Water resources research, 2017-04, Vol.53 (4), p.2786-2812 [Peer Reviewed Journal]

2017. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2017WR020482

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9
Retracted: Recognition of Protein Network for Bioinformatics Knowledge Analysis Using Support Vector Machine
Retracted: Recognition of Protein Network for Bioinformatics Knowledge Analysis Using Support Vector Machine
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Retracted: Recognition of Protein Network for Bioinformatics Knowledge Analysis Using Support Vector Machine

BioMed research international, 2024, Vol.2024, p.9851968-9851968 [Peer Reviewed Journal]

Copyright © 2024 BioMed Research International. ;Copyright © 2024 BioMed Research International. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2024 BioMed Research International. 2024 ;ISSN: 2314-6133 ;EISSN: 2314-6141 ;DOI: 10.1155/2024/9851968 ;PMID: 38550054

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10
Epileptic seizure detection using hybrid machine learning methods
Epileptic seizure detection using hybrid machine learning methods
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Epileptic seizure detection using hybrid machine learning methods

Neural computing & applications, 2019-01, Vol.31 (1), p.317-325 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-3003-y

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11
Toward a Lightweight Intrusion Detection System for the Internet of Things
Toward a Lightweight Intrusion Detection System for the Internet of Things
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Toward a Lightweight Intrusion Detection System for the Internet of Things

IEEE access, 2019, Vol.7, p.42450-42471 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2907965 ;CODEN: IAECCG

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12
Retracted: Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
Retracted: Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
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Retracted: Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

Journal of mathematics (Hidawi), 2023-01, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Journal of Mathematics. ;Copyright © 2023 Journal of Mathematics. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 2314-4629 ;EISSN: 2314-4785 ;DOI: 10.1155/2023/9809741

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13
Deep Learning Approach for Car Detection in UAV Imagery
Deep Learning Approach for Car Detection in UAV Imagery
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Deep Learning Approach for Car Detection in UAV Imagery

Remote sensing (Basel, Switzerland), 2017-04, Vol.9 (4), p.312 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9040312

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14
Robust energy-based least squares twin support vector machines
Robust energy-based least squares twin support vector machines
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Robust energy-based least squares twin support vector machines

Applied intelligence (Dordrecht, Netherlands), 2016-07, Vol.45 (1), p.174-186 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-015-0751-1

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15
Phishing Detection System through Hybrid Machine Learning Based on URL
Phishing Detection System through Hybrid Machine Learning Based on URL
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Phishing Detection System through Hybrid Machine Learning Based on URL

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3252366 ;CODEN: IAECCG

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16
Retracted: Diminution of Smart Grid with Renewable Sources Using Support Vector Machines for Identification of Regression Losses in Large-Scale Systems
Retracted: Diminution of Smart Grid with Renewable Sources Using Support Vector Machines for Identification of Regression Losses in Large-Scale Systems
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Retracted: Diminution of Smart Grid with Renewable Sources Using Support Vector Machines for Identification of Regression Losses in Large-Scale Systems

Wireless communications and mobile computing, 2023-12, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Wireless Communications and Mobile Computing. ;Copyright © 2023 Wireless Communications and Mobile Computing. 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. ;ISSN: 1530-8669 ;EISSN: 1530-8677 ;DOI: 10.1155/2023/9898623

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17
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data
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Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data

Human brain mapping, 2021-06, Vol.42 (8), p.2332-2346 [Peer Reviewed Journal]

2021 The Authors. published by Wiley Periodicals LLC. ;2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. ;COPYRIGHT 2021 Wiley Subscription Services, Inc. ;2021. This article 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: 1065-9471 ;EISSN: 1097-0193 ;DOI: 10.1002/hbm.25368 ;PMID: 33738883

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18
A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing
A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing
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A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

IEEE access, 2018-01, Vol.6, p.35042-35056 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2834540 ;CODEN: IAECCG

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19
Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets
Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets
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Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets

Briefings in bioinformatics, 2021-07, Vol.22 (4) [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa321 ;PMID: 33313673

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20
A novel approach for automated detection of focal EEG signals using empirical wavelet transform
A novel approach for automated detection of focal EEG signals using empirical wavelet transform
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A novel approach for automated detection of focal EEG signals using empirical wavelet transform

Neural computing & applications, 2018-04, Vol.29 (8), p.47-57 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2646-4

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