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1
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
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Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

Geo-spatial information science, 2023-07, Vol.26 (3), p.302-320 [Peer Reviewed Journal]

2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2022 ;2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2022.2100287

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2
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
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Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

Applied artificial intelligence, 2017-04, Vol.31 (4), p.299-315 [Peer Reviewed Journal]

ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2017.1315516

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3
A Tale of Two Classifier Sets: Aphasia Treatment for a Cantonese Speaker
A Tale of Two Classifier Sets: Aphasia Treatment for a Cantonese Speaker
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A Tale of Two Classifier Sets: Aphasia Treatment for a Cantonese Speaker

Aphasiology, 2023-08, Vol.37 (8), p.1223-1244 [Peer Reviewed Journal]

This work was authored as part of the Contributor's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 USC 105, no copyright protection is available for such works under US Law. ;ISSN: 0268-7038 ;EISSN: 1464-5041 ;DOI: 10.1080/02687038.2022.2087205

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4
Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality
Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality
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Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality

Information, communication & society, 2017-01, Vol.20 (1), p.100-117 [Peer Reviewed Journal]

2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2016 ;ISSN: 1369-118X ;EISSN: 1468-4462 ;DOI: 10.1080/1369118X.2016.1181195

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5
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
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A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping

International journal of geographical information science : IJGIS, 2021-02, Vol.35 (2), p.321-347 [Peer Reviewed Journal]

2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2020 ;ISSN: 1365-8816 ;EISSN: 1365-8824 ;DOI: 10.1080/13658816.2020.1808897

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6
Tracking the historical urban development by classifying Landsat MSS data with training samples migrated across time and space
Tracking the historical urban development by classifying Landsat MSS data with training samples migrated across time and space
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Tracking the historical urban development by classifying Landsat MSS data with training samples migrated across time and space

International journal of digital earth, 2023-12, Vol.16 (1), p.2487-2502 [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2023 ;2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1753-8947 ;EISSN: 1753-8955 ;DOI: 10.1080/17538947.2023.2230951

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7
Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning
Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning
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Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning

Automatika, 2024, Vol.65 (1), p.1-13 [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 0005-1144 ;EISSN: 1848-3380 ;DOI: 10.1080/00051144.2023.2269514

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8
A Methodology Combining Cosine Similarity with Classifier for Text Classification
A Methodology Combining Cosine Similarity with Classifier for Text Classification
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A Methodology Combining Cosine Similarity with Classifier for Text Classification

Applied artificial intelligence, 2020-04, Vol.34 (5), p.396-411 [Peer Reviewed Journal]

ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2020.1723868

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9
Monitoring the condition of nitrogen-filled tires using weightless neural networks
Monitoring the condition of nitrogen-filled tires using weightless neural networks
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Monitoring the condition of nitrogen-filled tires using weightless neural networks

Automatika, 2024-04, Vol.65 (2), p.523-537 [Peer Reviewed Journal]

2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0005-1144 ;ISSN: 1848-3380 ;EISSN: 1848-3380 ;DOI: 10.1080/00051144.2024.2310979

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10
Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images
Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images
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Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

European journal of remote sensing, 2017-01, Vol.50 (1), p.144-154 [Peer Reviewed Journal]

2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2017 ;2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 2279-7254 ;EISSN: 2279-7254 ;DOI: 10.1080/22797254.2017.1299557

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11
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
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A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

Geomatics, natural hazards and risk, 2017-12, Vol.8 (2), p.1955-1977 [Peer Reviewed Journal]

2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2017 ;2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 1947-5705 ;EISSN: 1947-5713 ;DOI: 10.1080/19475705.2017.1401560

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12
A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques
A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques
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A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques

Cogent food & agriculture, 2024-12, Vol.10 (1) [Peer Reviewed Journal]

EISSN: 2331-1932 ;DOI: 10.1080/23311932.2024.2339572

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13
A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
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A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers

Automatika, 2023-07, Vol.64 (3), p.550-564 [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2023 ;2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 0005-1144 ;EISSN: 1848-3380 ;DOI: 10.1080/00051144.2023.2200347

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14
Pavement crack detection and classification based on fusion feature of LBP and PCA with SVM
Pavement crack detection and classification based on fusion feature of LBP and PCA with SVM
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Pavement crack detection and classification based on fusion feature of LBP and PCA with SVM

The international journal of pavement engineering, 2022-07, Vol.23 (9), p.3274-3283 [Peer Reviewed Journal]

2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2021 ;ISSN: 1029-8436 ;EISSN: 1477-268X ;DOI: 10.1080/10298436.2021.1888092

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15
Generalized Bayes Quantification Learning under Dataset Shift
Generalized Bayes Quantification Learning under Dataset Shift
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Generalized Bayes Quantification Learning under Dataset Shift

Journal of the American Statistical Association, 2022-10, Vol.117 (540), p.2163-2181 [Peer Reviewed Journal]

2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1909599

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16
Ensemble Classifier for Stock Trading Recommendation
Ensemble Classifier for Stock Trading Recommendation
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Ensemble Classifier for Stock Trading Recommendation

Applied artificial intelligence, 2022-12, Vol.36 (1) [Peer Reviewed Journal]

2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;2021 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution License 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: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2021.2001178

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17
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
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A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

Geomatics, natural hazards and risk, 2021-01, Vol.12 (1), p.1741-1777 [Peer Reviewed Journal]

2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2021 ;2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 1947-5705 ;ISSN: 1947-5713 ;EISSN: 1947-5713 ;DOI: 10.1080/19475705.2021.1944330

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18
CLASSIFYING HUMANS: THE INDIRECT REVERSE OPERATIVITY OF MACHINE VISION
CLASSIFYING HUMANS: THE INDIRECT REVERSE OPERATIVITY OF MACHINE VISION
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CLASSIFYING HUMANS: THE INDIRECT REVERSE OPERATIVITY OF MACHINE VISION

Photographies, 2023-05, Vol.16 (2), p.263-289 [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2023 ;ISSN: 1754-0763 ;EISSN: 1754-0771 ;DOI: 10.1080/17540763.2023.2189160

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19
Predicting Semantic Categories in Text Based on Knowledge Graph Combined with Machine Learning Techniques
Predicting Semantic Categories in Text Based on Knowledge Graph Combined with Machine Learning Techniques
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Predicting Semantic Categories in Text Based on Knowledge Graph Combined with Machine Learning Techniques

Applied artificial intelligence, 2021-10, Vol.35 (12), p.933-951 [Peer Reviewed Journal]

ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2021.1966883

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20
An efficient method for bearing fault diagnosis
An efficient method for bearing fault diagnosis
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An efficient method for bearing fault diagnosis

Systems science & control engineering, 2024-12, Vol.12 (1) [Peer Reviewed Journal]

EISSN: 2164-2583 ;DOI: 10.1080/21642583.2024.2329264

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