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1
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
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Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes

Applied sciences, 2022-02, Vol.12 (3), p.950 [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/app12030950

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2
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
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Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

Applied sciences, 2020-03, Vol.10 (5), p.1800 [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/app10051800

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3
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods
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Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods

Applied sciences, 2021-12, Vol.11 (23), p.11128 [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/app112311128

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4
Two Majority Voting Classifiers Applied to Heart Disease Prediction
Two Majority Voting Classifiers Applied to Heart Disease Prediction
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Two Majority Voting Classifiers Applied to Heart Disease Prediction

Applied sciences, 2023-03, Vol.13 (6), p.3767 [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/app13063767

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5
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
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GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier

Applied sciences, 2020-04, Vol.10 (8), p.2788 [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/app10082788

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6
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
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Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators

Applied sciences, 2021-09, Vol.11 (18), p.8352 [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/app11188352

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7
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
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UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

Applied sciences, 2017-10, Vol.7 (10), p.1101 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app7101101

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8
Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm
Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm
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Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm

Applied sciences, 2022-01, Vol.12 (1), p.521 [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/app12010521

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9
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
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A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets

Applied sciences, , Vol.9 (6), p.1123 [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/app9061123

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10
A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier
A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier
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A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier

Applied sciences, 2022-10, Vol.12 (20), p.10443 [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/app122010443

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11
Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
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Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

Applied sciences, 2020-07, Vol.10 (14), p.4966 [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/app10144966

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12
A Hybrid Model of Cancer Diseases Diagnosis Based on Gene Expression Data with Joint Use of Data Mining Methods and Machine Learning Techniques
A Hybrid Model of Cancer Diseases Diagnosis Based on Gene Expression Data with Joint Use of Data Mining Methods and Machine Learning Techniques
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A Hybrid Model of Cancer Diseases Diagnosis Based on Gene Expression Data with Joint Use of Data Mining Methods and Machine Learning Techniques

Applied sciences, 2023-05, Vol.13 (10), p.6022 [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/app13106022

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13
Machine Learning in Electrofacies Classification and Subsurface Lithology Interpretation: A Rough Set Theory Approach
Machine Learning in Electrofacies Classification and Subsurface Lithology Interpretation: A Rough Set Theory Approach
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Machine Learning in Electrofacies Classification and Subsurface Lithology Interpretation: A Rough Set Theory Approach

Applied sciences, 2020-09, Vol.10 (17), p.5940 [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/app10175940

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14
An Effective Approach to Detect and Identify Brain Tumors Using Transfer Learning
An Effective Approach to Detect and Identify Brain Tumors Using Transfer Learning
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An Effective Approach to Detect and Identify Brain Tumors Using Transfer Learning

Applied sciences, 2022-06, Vol.12 (11), p.5645 [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/app12115645

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15
Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach
Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach
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Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

Applied sciences, 2019-12, Vol.9 (24), p.5287 [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/app9245287

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16
Classification of Faults Operation of a Robotic Manipulator Using Symbolic Classifier
Classification of Faults Operation of a Robotic Manipulator Using Symbolic Classifier
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Classification of Faults Operation of a Robotic Manipulator Using Symbolic Classifier

Applied sciences, 2023-02, Vol.13 (3), p.1962 [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/app13031962

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17
Dynamic Hand Gesture Recognition for Smart Lifecare Routines via K-Ary Tree Hashing Classifier
Dynamic Hand Gesture Recognition for Smart Lifecare Routines via K-Ary Tree Hashing Classifier
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Dynamic Hand Gesture Recognition for Smart Lifecare Routines via K-Ary Tree Hashing Classifier

Applied sciences, 2022-07, Vol.12 (13), p.6481 [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/app12136481

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18
Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks
Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks
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Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks

Applied sciences, 2019-01, Vol.9 (2), p.238 [Peer Reviewed Journal]

2019. 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/app9020238

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19
An Ensemble of Convolutional Neural Networks for Audio Classification
An Ensemble of Convolutional Neural Networks for Audio Classification
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An Ensemble of Convolutional Neural Networks for Audio Classification

Applied sciences, 2021-07, Vol.11 (13), p.5796 [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/app11135796

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20
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification
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Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification

Applied sciences, 2022-02, Vol.12 (4), p.1850 [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/app12041850

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