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1
Systematic Literature Review on Machine Learning and Student Performance Prediction: Critical Gaps and Possible Remedies
Systematic Literature Review on Machine Learning and Student Performance Prediction: Critical Gaps and Possible Remedies
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Systematic Literature Review on Machine Learning and Student Performance Prediction: Critical Gaps and Possible Remedies

Applied sciences, 2021-11, Vol.11 (22), p.10907 [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/app112210907

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2
Machine Learning Applications in Surface Transportation Systems: A Literature Review
Machine Learning Applications in Surface Transportation Systems: A Literature Review
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Machine Learning Applications in Surface Transportation Systems: A Literature Review

Applied sciences, 2022-09, Vol.12 (18), p.9156 [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/app12189156

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3
Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process
Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process
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Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process

Applied sciences, 2023-02, Vol.13 (4), p.2434 [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/app13042434

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4
Response Surface Methodology Using Observational Data: A Systematic Literature Review
Response Surface Methodology Using Observational Data: A Systematic Literature Review
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Response Surface Methodology Using Observational Data: A Systematic Literature Review

Applied sciences, 2022-10, Vol.12 (20), p.10663 [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/app122010663

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5
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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6
Advanced Applications of Industrial Robotics: New Trends and Possibilities
Advanced Applications of Industrial Robotics: New Trends and Possibilities
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Advanced Applications of Industrial Robotics: New Trends and Possibilities

Applied sciences, 2022-01, Vol.12 (1), p.135 [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/app12010135

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7
Data-Driven Policy Learning Methods from Biological Behavior: A Systematic Review
Data-Driven Policy Learning Methods from Biological Behavior: A Systematic Review
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Data-Driven Policy Learning Methods from Biological Behavior: A Systematic Review

Applied sciences, 2024-01, Vol.14 (10), p.4038 [Peer Reviewed Journal]

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. ;EISSN: 2076-3417 ;DOI: 10.3390/app14104038

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8
Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook
Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook
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Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook

Applied sciences, 2022-06, Vol.12 (12), p.5832 [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/app12125832

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9
Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting
Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting
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Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting

Applied sciences, 2018-08, Vol.8 (8), p.1286 [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/app8081286

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10
A Comprehensive Review of Deep Learning-Based Crack Detection Approaches
A Comprehensive Review of Deep Learning-Based Crack Detection Approaches
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A Comprehensive Review of Deep Learning-Based Crack Detection Approaches

Applied sciences, 2022-02, Vol.12 (3), p.1374 [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/app12031374

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11
Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
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Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review

Applied sciences, 2023-04, Vol.13 (9), p.5521 [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/app13095521

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12
On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations
On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations
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On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations

Applied sciences, 2018-03, Vol.8 (3), p.355 [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/app8030355

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13
Fusion of Attention-Based Convolution Neural Network and HOG Features for Static Sign Language Recognition
Fusion of Attention-Based Convolution Neural Network and HOG Features for Static Sign Language Recognition
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Fusion of Attention-Based Convolution Neural Network and HOG Features for Static Sign Language Recognition

Applied sciences, 2023-11, Vol.13 (21), p.11993 [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/app132111993

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14
A Resource Utilization Prediction Model for Cloud Data Centers Using Evolutionary Algorithms and Machine Learning Techniques
A Resource Utilization Prediction Model for Cloud Data Centers Using Evolutionary Algorithms and Machine Learning Techniques
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A Resource Utilization Prediction Model for Cloud Data Centers Using Evolutionary Algorithms and Machine Learning Techniques

Applied sciences, 2022-02, Vol.12 (4), p.2160 [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/app12042160

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15
An Intelligent Facial Expression Recognition System Using a Hybrid Deep Convolutional Neural Network for Multimedia Applications
An Intelligent Facial Expression Recognition System Using a Hybrid Deep Convolutional Neural Network for Multimedia Applications
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An Intelligent Facial Expression Recognition System Using a Hybrid Deep Convolutional Neural Network for Multimedia Applications

Applied sciences, 2023-11, Vol.13 (21), p.12049 [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/app132112049

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16
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
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DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images

Applied sciences, 2023-02, Vol.13 (4), p.2082 [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/app13042082

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17
Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
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Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review

Applied sciences, 2020-11, Vol.10 (22), p.8298 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;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/app10228298

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18
Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)
Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)
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Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)

Applied sciences, 2022-02, Vol.12 (3), p.1289 [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/app12031289

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19
Remote Sensing and Machine Learning for Safer Railways: A Review
Remote Sensing and Machine Learning for Safer Railways: A Review
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Remote Sensing and Machine Learning for Safer Railways: A Review

Applied sciences, 2024-05, Vol.14 (9), p.3573 [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/app14093573

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20
Optimizing Multimodal Scene Recognition through Mutual Information-Based Feature Selection in Deep Learning Models
Optimizing Multimodal Scene Recognition through Mutual Information-Based Feature Selection in Deep Learning Models
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Optimizing Multimodal Scene Recognition through Mutual Information-Based Feature Selection in Deep Learning Models

Applied sciences, 2023-10, Vol.13 (21), p.11829 [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/app132111829

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