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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Exploring best-matched embedding model and classifier for charging-pile fault diagnosisCybersecurity (Singapore), 2023-12, Vol.6 (1), p.7-13, Article 7 [Peer Reviewed Journal]The Author(s) 2023 ;The Author(s) 2023. 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: 2523-3246 ;EISSN: 2523-3246 ;DOI: 10.1186/s42400-023-00138-zFull text available |
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Material Type: Article
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Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various FactorsJournal of network and systems management, 2021, Vol.29 (1), Article 8 [Peer Reviewed Journal]Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1064-7570 ;EISSN: 1573-7705 ;DOI: 10.1007/s10922-020-09566-5Full text available |
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Material Type: Article
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The SVM Classifier Based on the Modified Particle Swarm OptimizationInternational journal of advanced computer science & applications, 2016-01, Vol.7 (2)2016. 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2016.070203Full text available |
| 4 |
Material Type: Article
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Detection of Malicious Websites Using Symbolic ClassifierFuture internet, 2022-12, Vol.14 (12), p.358 [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: 1999-5903 ;EISSN: 1999-5903 ;DOI: 10.3390/fi14120358Full text available |
| 5 |
Material Type: Article
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Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM EnsemblesInternational journal of advanced computer science & applications, 2016-01, Vol.7 (5)2016. 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2016.070541Full text available |
| 6 |
Material Type: Article
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Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning MethodsAdvances in Electrical and Computer Engineering, 2014-02, Vol.14 (1), p.121-132 [Peer Reviewed Journal]COPYRIGHT 2014 Stefan cel Mare University of Suceava ;ISSN: 1582-7445 ;EISSN: 1844-7600 ;DOI: 10.4316/AECE.2014.01019Full text available |
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Material Type: Article
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Fast Support Vector Machine Classification for Large Data SetsInternational journal of computational intelligence systems, 2014-01, Vol.7 (2), p.197-212 [Peer Reviewed Journal]the authors 2014 ;ISSN: 1875-6891 ;ISSN: 1875-6883 ;EISSN: 1875-6883 ;DOI: 10.1080/18756891.2013.868148Full text available |
| 8 |
Material Type: Article
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SVM prediction of the attestation success on the base of the poll resultsITM Web of Conferences, 2018, Vol.18, p.4002 [Peer Reviewed Journal]2018. 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: 2271-2097 ;ISSN: 2431-7578 ;EISSN: 2271-2097 ;DOI: 10.1051/itmconf/20181804002Full text available |
| 9 |
Material Type: Article
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A Hybrid Intrusion Detection System for SDWSN using Random Forest (RF) Machine Learning ApproachInternational journal of advanced computer science & applications, 2020, Vol.11 (2)2020. 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2020.0110236Full text available |
| 10 |
Material Type: Article
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Combining feature selection and classifier ensemble using a multiobjective simulated annealing approach: application to named entity recognitionSoft computing (Berlin, Germany), 2013, Vol.17 (1), p.1-16 [Peer Reviewed Journal]Springer-Verlag 2012 ;Springer-Verlag 2012. ;ISSN: 1432-7643 ;EISSN: 1433-7479 ;DOI: 10.1007/s00500-012-0885-6Full text available |
| 11 |
Material Type: Book Chapter
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Diversity in Classifier EnsemblesCombining Pattern Classifiers, 2014, p.247-289Copyright © 2014 John Wiley & Sons, Inc. All rights reserved. ;ISBN: 1118315235 ;ISBN: 9781118315231 ;EISBN: 1118914554 ;EISBN: 9781118914557 ;EISBN: 9781118914540 ;EISBN: 1118914546 ;EISBN: 1118914562 ;EISBN: 9781118914564 ;DOI: 10.1002/9781118914564.ch8 ;OCLC: 878051089 ;LCCallNum: TK7882.P3 -- .K863 2014ebFull text available |
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