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1
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104572 ;PMID: 34182331

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2
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
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Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.18 [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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010018 ;PMID: 29271909

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3
SVM and MRF-Based Method for Accurate Classification of Hyperspectral Images
SVM and MRF-Based Method for Accurate Classification of Hyperspectral Images
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SVM and MRF-Based Method for Accurate Classification of Hyperspectral Images

IEEE geoscience and remote sensing letters, 2010-10, Vol.7 (4), p.736-740 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1545-598X ;EISSN: 1558-0571 ;DOI: 10.1109/LGRS.2010.2047711

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4
Support vector machines based non-contact fault diagnosis system for bearings
Support vector machines based non-contact fault diagnosis system for bearings
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Support vector machines based non-contact fault diagnosis system for bearings

Journal of intelligent manufacturing, 2020-06, Vol.31 (5), p.1275-1289 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 0956-5515 ;EISSN: 1572-8145 ;DOI: 10.1007/s10845-019-01511-x

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5
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

Computers in biology and medicine, 2020-06, Vol.121, p.103805-103805, Article 103805 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;2020 Elsevier Ltd. All rights reserved. 2020 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103805 ;PMID: 32568679

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6
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6308-6325 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2020.3026724 ;CODEN: IJSTHZ

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7
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning
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Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1284 [Peer Reviewed Journal]

2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19061284 ;PMID: 30875732

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8
Ensemble SVM Method for Automatic Sleep Stage Classification
Ensemble SVM Method for Automatic Sleep Stage Classification
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Ensemble SVM Method for Automatic Sleep Stage Classification

IEEE transactions on instrumentation and measurement, 2018-06, Vol.67 (6), p.1258 [Peer Reviewed Journal]

ISSN: 0018-9456 ;ISSN: 1557-9662 ;EISSN: 1557-9662 ;DOI: 10.1109/TIM.2018.2799059

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9
Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm
Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm
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Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm

Sensors (Basel, Switzerland), 2017-02, Vol.17 (2), p.287-287 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17020287 ;PMID: 28165388

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10
A Novel Wearable Device for Food Intake and Physical Activity Recognition
A Novel Wearable Device for Food Intake and Physical Activity Recognition
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A Novel Wearable Device for Food Intake and Physical Activity Recognition

Sensors (Basel, Switzerland), 2016-07, Vol.16 (7), p.1067-1067 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;2016 by the authors; licensee MDPI, Basel, Switzerland. 2016 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s16071067 ;PMID: 27409622

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11
Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis
Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis
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Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8163 [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/s21248163 ;PMID: 34960257

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12
Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age
Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age
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Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1766 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22051766 ;PMID: 35270913

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13
Classification of alcoholic EEG signals using wavelet scattering transform-based features
Classification of alcoholic EEG signals using wavelet scattering transform-based features
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Classification of alcoholic EEG signals using wavelet scattering transform-based features

Computers in biology and medicine, 2021-12, Vol.139, p.104969-104969, Article 104969 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104969 ;PMID: 34700252

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14
Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering
Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering
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Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.1997 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21061997 ;PMID: 33808989

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15
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
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A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

Landslides, 2020-01, Vol.17 (1), p.217-229 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;2019© Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-019-01274-9

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16
A Survey on State-of-the-Art Drowsiness Detection Techniques
A Survey on State-of-the-Art Drowsiness Detection Techniques
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A Survey on State-of-the-Art Drowsiness Detection Techniques

IEEE access, 2019, Vol.7, p.61904-61919 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2914373 ;CODEN: IAECCG

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17
Bearing fault diagnostics using EEMD processing and convolutional neural network methods
Bearing fault diagnostics using EEMD processing and convolutional neural network methods
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Bearing fault diagnostics using EEMD processing and convolutional neural network methods

International journal of advanced manufacturing technology, 2020-04, Vol.107 (9-10), p.4077-4095 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-020-05315-9

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18
A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM
A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM
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A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1474 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20051474 ;PMID: 32156100

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19
Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients
Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients
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Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients

Medical & biological engineering & computing, 2016-01, Vol.54 (1), p.223-233 [Peer Reviewed Journal]

International Federation for Medical and Biological Engineering 2015 ;International Federation for Medical and Biological Engineering 2016 ;info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/3.0/es/ ;ISSN: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-015-1395-3 ;PMID: 26429349

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20
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
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Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

Water resources management, 2017-07, Vol.31 (9), p.2761-2775 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2017 ;Water Resources Management is a copyright of Springer, 2017. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-017-1660-3

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