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1
Machine Learning-Supported Designing of Human–Machine Interfaces
Machine Learning-Supported Designing of Human–Machine Interfaces
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Machine Learning-Supported Designing of Human–Machine Interfaces

Applied sciences, 2024-02, Vol.14 (4), p.1564 [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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app14041564

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2
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
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Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

Applied sciences, 2020-02, Vol.10 (3), p.1042 [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/app10031042

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3
Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping
Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping
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Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

Applied sciences, 2023-10, Vol.13 (20), p.11427 [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/app132011427

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4
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
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Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey

Applied sciences, 2023-07, Vol.13 (14), p.8298 [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/app13148298

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5
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
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Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring

Applied sciences, 2023-02, Vol.13 (4), p.2038 [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/app13042038

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6
Machine Learning Methods with Decision Forests for Parkinson’s Detection
Machine Learning Methods with Decision Forests for Parkinson’s Detection
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Machine Learning Methods with Decision Forests for Parkinson’s Detection

Applied sciences, 2021-01, Vol.11 (2), p.581 [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. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11020581

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7
Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques
Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques
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Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques

Applied sciences, 2021-11, Vol.11 (22), p.10505 [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/app112210505

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8
Classification of Children’s Sitting Postures Using Machine Learning Algorithms
Classification of Children’s Sitting Postures Using Machine Learning Algorithms
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Classification of Children’s Sitting Postures Using Machine Learning Algorithms

Applied sciences, 2018-08, Vol.8 (8), p.1280 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app8081280

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9
Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques
Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques
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Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques

Applied sciences, 2021-04, Vol.11 (7), p.3130 [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/app11073130

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10
Soil Classification by Machine Learning Using a Tunnel Boring Machine’s Operating Parameters
Soil Classification by Machine Learning Using a Tunnel Boring Machine’s Operating Parameters
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Soil Classification by Machine Learning Using a Tunnel Boring Machine’s Operating Parameters

Applied sciences, 2022-11, Vol.12 (22), p.11480 [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/app122211480

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11
EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease
EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease
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EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease

Applied sciences, 2022-06, Vol.12 (11), p.5413 [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/app12115413

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12
Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review
Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review
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Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review

Applied sciences, 2020-12, Vol.10 (23), p.8662 [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/app10238662

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13
Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
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Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review

Applied sciences, 2021-12, Vol.11 (24), p.11910 [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/app112411910

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14
Software Project Management Using Machine Learning Technique—A Review
Software Project Management Using Machine Learning Technique—A Review
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Software Project Management Using Machine Learning Technique—A Review

Applied sciences, 2021-06, Vol.11 (11), p.5183 [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/app11115183

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15
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
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Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’

Applied sciences, 2023-02, Vol.13 (3), p.1903 [Peer Reviewed Journal]

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/app13031903

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16
Reduced Data Volumes through Hybrid Machine Learning Compared to Conventional Machine Learning Demonstrated on Bearing Fault Classification
Reduced Data Volumes through Hybrid Machine Learning Compared to Conventional Machine Learning Demonstrated on Bearing Fault Classification
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Reduced Data Volumes through Hybrid Machine Learning Compared to Conventional Machine Learning Demonstrated on Bearing Fault Classification

Applied sciences, 2022-03, Vol.12 (5), p.2287 [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/app12052287

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17
X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
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X-ray Diffraction Data Analysis by Machine Learning Methods—A Review

Applied sciences, 2023-09, Vol.13 (17), p.9992 [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/app13179992

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18
Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
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Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images

Applied sciences, 2020-05, Vol.10 (9), p.3134 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10093134

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19
H&E Multi-Laboratory Staining Variance Exploration with Machine Learning
H&E Multi-Laboratory Staining Variance Exploration with Machine Learning
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H&E Multi-Laboratory Staining Variance Exploration with Machine Learning

Applied sciences, 2022-08, Vol.12 (15), p.7511 [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/app12157511

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20
MLMD—A Malware-Detecting Antivirus Tool Based on the XGBoost Machine Learning Algorithm
MLMD—A Malware-Detecting Antivirus Tool Based on the XGBoost Machine Learning Algorithm
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MLMD—A Malware-Detecting Antivirus Tool Based on the XGBoost Machine Learning Algorithm

Applied sciences, 2022-07, Vol.12 (13), p.6672 [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/app12136672

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