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1
Ensemble of classifiers based on CNN for increasing generalization ability in face image recognition
Ensemble of classifiers based on CNN for increasing generalization ability in face image recognition
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Ensemble of classifiers based on CNN for increasing generalization ability in face image recognition

Bulletin of the Polish Academy of Sciences. Technical sciences, 2022, Vol.70 (3) [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0239-7528 ;EISSN: 2300-1917 ;DOI: 10.24425/bpasts.2022.141004

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2
Key Signatures of Prominence Materials and Category of Cold Materials Identified by Random Forest Classifier
Key Signatures of Prominence Materials and Category of Cold Materials Identified by Random Forest Classifier
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Key Signatures of Prominence Materials and Category of Cold Materials Identified by Random Forest Classifier

The Astrophysical journal. Supplement series, 2023-09, Vol.268 (1), p.25 [Peer Reviewed Journal]

2023. The Author(s). Published by the American Astronomical Society. ;2023. The Author(s). Published by the American Astronomical Society. 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: 0067-0049 ;EISSN: 1538-4365 ;DOI: 10.3847/1538-4365/ace447

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3
Incorporating Measurement Error in Astronomical Object Classification
Incorporating Measurement Error in Astronomical Object Classification
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Incorporating Measurement Error in Astronomical Object Classification

The Astronomical journal, 2022-07, Vol.164 (1), p.6 [Peer Reviewed Journal]

2022. The Author(s). Published by the American Astronomical Society. ;2022. The Author(s). Published by the American Astronomical Society. 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: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ac6e64

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4
Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks
Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks
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Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5809 [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/s21175809 ;PMID: 34502700

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5
Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption
Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption
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Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption

Energies (Basel), 2018-11, Vol.11 (11), p.2869 [Peer Reviewed Journal]

2018. 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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11112869

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6
Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
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Exploring best-matched embedding model and classifier for charging-pile fault diagnosis

Cybersecurity (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-z

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7
Neural net decoders of nonbinary codes
Neural net decoders of nonbinary codes
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Neural net decoders of nonbinary codes

Journal of physics. Conference series, 2020-03, Vol.1479 (1), p.12089 [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: 10.1088/1742-6596/1479/1/012089

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8
Prediction and profitability in market segmentation typing tools
Prediction and profitability in market segmentation typing tools
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Prediction and profitability in market segmentation typing tools

Journal of marketing analytics, 2022-12, Vol.10 (4), p.360-389 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature Limited 2021. corrected publication 2022 ;The Author(s), under exclusive licence to Springer Nature Limited 2021. corrected publication 2022. ;ISSN: 2050-3318 ;EISSN: 2050-3326 ;DOI: 10.1057/s41270-021-00145-4

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9
Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features
Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features
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Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features

Bioengineering (Basel), 2024-03, Vol.11 (3), p.252 [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. ;2024 by the authors. 2024 ;ISSN: 2306-5354 ;EISSN: 2306-5354 ;DOI: 10.3390/bioengineering11030252 ;PMID: 38534526

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10
Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer
Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer
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Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3080 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23063080 ;PMID: 36991790

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11
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
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Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT

Abdominal radiology (New York), 2024-04, Vol.49 (4), p.1122-1131 [Peer Reviewed Journal]

The Author(s) 2024 ;EISSN: 2366-0058 ;DOI: 10.1007/s00261-023-04178-4

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12
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
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Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data

International journal of molecular sciences, 2021-04, Vol.22 (8), p.4107 [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: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22084107 ;PMID: 33921121

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13
Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors
Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors
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Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors

Journal 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/s10922-020-09566-5

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14
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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15
Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers
Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers
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Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers

International journal of environmental research and public health, 2021-02, Vol.18 (5), p.2364 [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. ;2021 by the authors. 2021 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph18052364 ;PMID: 33671029

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16
Sequence-based Prediction of Pathogen-host Interaction Using an Ensemble Learning Classifier and Moran Autocorrelation Feature Encoding Method
Sequence-based Prediction of Pathogen-host Interaction Using an Ensemble Learning Classifier and Moran Autocorrelation Feature Encoding Method
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Sequence-based Prediction of Pathogen-host Interaction Using an Ensemble Learning Classifier and Moran Autocorrelation Feature Encoding Method

Turkish journal of computer and mathematics education, 2021-01, Vol.12 (14), p.598-605

2021. This work is published 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. ;EISSN: 1309-4653

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17
The SVM Classifier Based on the Modified Particle Swarm Optimization
The SVM Classifier Based on the Modified Particle Swarm Optimization
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The SVM Classifier Based on the Modified Particle Swarm Optimization

International 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.2016.070203

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18
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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19
Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles
Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles
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Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles

International 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.2016.070541

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20
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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