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1
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
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Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes

Applied sciences, 2022-02, Vol.12 (3), p.950 [Peer Reviewed Journal]

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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12030950

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2
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods
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Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods

Applied sciences, 2021-12, Vol.11 (23), p.11128 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app112311128

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3
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
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Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

Applied sciences, 2020-03, Vol.10 (5), p.1800 [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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10051800

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4
Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles
Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles
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Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles

Applied sciences, 2021-09, Vol.11 (17), p.7984 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11177984

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5
Common Gabor Features for Image Watermarking Identification
Common Gabor Features for Image Watermarking Identification
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Common Gabor Features for Image Watermarking Identification

Applied sciences, 2021-09, Vol.11 (18), p.8308 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11188308

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6
Two Majority Voting Classifiers Applied to Heart Disease Prediction
Two Majority Voting Classifiers Applied to Heart Disease Prediction
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Two Majority Voting Classifiers Applied to Heart Disease Prediction

Applied sciences, 2023-03, Vol.13 (6), p.3767 [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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app13063767

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7
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
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GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier

Applied sciences, 2020-04, Vol.10 (8), p.2788 [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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10082788

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8
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
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A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

Applied sciences, 2020-11, Vol.10 (21), p.7410 [Peer Reviewed Journal]

2020 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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10217410

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9
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
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Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators

Applied sciences, 2021-09, Vol.11 (18), p.8352 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11188352

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10
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
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UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

Applied sciences, 2017-10, Vol.7 (10), p.1101 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app7101101

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