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Material Type: Article
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Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A SurveyApplied sciences, 2019-10, Vol.9 (20), p.4396 [Peer Reviewed Journal]2019 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/app9204396Full text available |
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2 |
Material Type: Article
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Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential MappingApplied sciences, 2020-04, Vol.10 (7), p.2469 [Peer Reviewed Journal]ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10072469Full text available |
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3 |
Material Type: Article
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Multi-Agent Reinforcement Learning: A Review of Challenges and ApplicationsApplied sciences, 2021-06, Vol.11 (11), p.4948 [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/app11114948Full text available |
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4 |
Material Type: Article
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The Influence of the Activation Function in a Convolution Neural Network Model of Facial Expression RecognitionApplied sciences, 2020-03, Vol.10 (5), p.1897 [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/app10051897Full text available |
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5 |
Material Type: Article
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Classification of Brain Tumors from MRI Images Using a Convolutional Neural NetworkApplied sciences, 2020-03, Vol.10 (6), p.1999 [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/app10061999Full text available |
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6 |
Material Type: Article
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Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural NetworksApplied sciences, 2018-09, Vol.8 (9), p.1575 [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/app8091575Full text available |
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7 |
Material Type: Article
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Review of Artificial Intelligence Adversarial Attack and Defense TechnologiesApplied sciences, , Vol.9 (5), p.909 [Peer Reviewed Journal]2019. 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/app9050909Full text available |
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8 |
Material Type: Article
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Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic ReviewApplied sciences, 2021-06, Vol.11 (11), p.5088 [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/app11115088Full text available |
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9 |
Material Type: Article
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Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning ApproachesApplied sciences, 2022-07, Vol.12 (14), p.7282 [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/app12147282Full text available |
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10 |
Material Type: Article
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Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case StudyApplied sciences, 2020-07, Vol.10 (13), p.4523 [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/app10134523Full text available |
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11 |
Material Type: Article
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A Survey of Handwritten Character Recognition with MNIST and EMNISTApplied sciences, 2019-08, Vol.9 (15), p.3169 [Peer Reviewed Journal]2019. 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/app9153169Full text available |
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12 |
Material Type: Article
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A Few Shot Classification Methods Based on Multiscale Relational NetworksApplied sciences, 2022-04, Vol.12 (8), p.4059 [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/app12084059Full text available |
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13 |
Material Type: Article
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A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)Applied sciences, 2020-10, Vol.10 (20), p.7330 [Peer Reviewed Journal]COPYRIGHT 2020 MDPI AG ;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/app10207330Full text available |
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14 |
Material Type: Article
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UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from SmartphonesApplied sciences, 2017-10, Vol.7 (10), p.1101 [Peer Reviewed Journal]Copyright MDPI AG 2017 ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app7101101Full text available |
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15 |
Material Type: Article
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Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical DomainApplied sciences, 2021-01, Vol.11 (2), p.796 [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/app11020796Full text available |
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16 |
Material Type: Article
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Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant DiseasesApplied sciences, 2020-02, Vol.10 (4), p.1245 [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/app10041245Full text available |
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17 |
Material Type: Article
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Classification of Heart Sound Signal Using Multiple FeaturesApplied sciences, 2018-12, Vol.8 (12), p.2344 [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/app8122344Full text available |
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18 |
Material Type: Article
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A Semi-Supervised Extreme Learning Machine Algorithm Based on the New Weighted Kernel for Machine SmellApplied sciences, 2022-09, Vol.12 (18), p.9213 [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/app12189213Full text available |
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19 |
Material Type: Article
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A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and ApplicationsApplied sciences, 2021-12, Vol.11 (23), p.11191 [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/app112311191Full text available |
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20 |
Material Type: Article
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A Review of Ensemble Learning Algorithms Used in Remote Sensing ApplicationsApplied sciences, 2022-09, Vol.12 (17), p.8654 [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/app12178654Full text available |