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Arabic Document Classification: Performance Investigation of Preprocessing and Representation Techniques
Arabic Document Classification: Performance Investigation of Preprocessing and Representation Techniques
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Arabic Document Classification: Performance Investigation of Preprocessing and Representation Techniques

Mathematical problems in engineering, 2022-04, Vol.2022, p.1-16 [Peer Reviewed Journal]

Copyright © 2022 Abdullah Y. Muaad et al. ;COPYRIGHT 2022 Hindawi Limited ;Copyright © 2022 Abdullah Y. Muaad et al. 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: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2022/3720358

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2
Detection of Malicious Websites Using Symbolic Classifier
Detection of Malicious Websites Using Symbolic Classifier
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Detection of Malicious Websites Using Symbolic Classifier

Future 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/fi14120358

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3
Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods
Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods
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Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods

Advances 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.2014.01019

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4
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
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Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

BioData mining, 2020-12, Vol.13 (1), p.21-21, Article 21 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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. ;The Author(s) 2020 ;ISSN: 1756-0381 ;EISSN: 1756-0381 ;DOI: 10.1186/s13040-020-00230-x ;PMID: 33372632

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5
Human Heart Sounds Classification using Ensemble Methods
Human Heart Sounds Classification using Ensemble Methods
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Human Heart Sounds Classification using Ensemble Methods

Technical journal (University of Engineering and Technology (Taxila (Extinct city)), 2017-01, Vol.22 (1), p.113 [Peer Reviewed Journal]

Copyright University of Engineering and Technology, Taxila Jan/Mar 2017 ;ISSN: 1813-1786 ;EISSN: 2313-7770

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6
Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves
Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves
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Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves

Plants (Basel), 2023-01, Vol.12 (3), p.616 [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. ;2023 by the authors. 2023 ;ISSN: 2223-7747 ;EISSN: 2223-7747 ;DOI: 10.3390/plants12030616 ;PMID: 36771700

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