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1
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
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Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

Applied sciences, 2019-10, Vol.9 (19), p.4130 [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/app9194130

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2
A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection
A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection
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A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection

Applied sciences, 2020-05, Vol.10 (10), p.3429 [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/app10103429

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3
A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition
A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition
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A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition

Applied sciences, 2021-11, Vol.11 (21), p.9897 [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/app11219897

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4
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H E Histological Images
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H E Histological Images
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Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H E Histological Images

Applied sciences, 2024-01, Vol.14 (3), p.1084 [Peer Reviewed Journal]

EISSN: 2076-3417 ;DOI: 10.3390/app14031084

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5
Face Gender Recognition in the Wild: An Extensive Performance Comparison of Deep-Learned, Hand-Crafted, and Fused Features with Deep and Traditional Models
Face Gender Recognition in the Wild: An Extensive Performance Comparison of Deep-Learned, Hand-Crafted, and Fused Features with Deep and Traditional Models
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Face Gender Recognition in the Wild: An Extensive Performance Comparison of Deep-Learned, Hand-Crafted, and Fused Features with Deep and Traditional Models

Applied sciences, 2021-01, Vol.11 (1), p.89 [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/app11010089

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6
A Few Shot Classification Methods Based on Multiscale Relational Networks
A Few Shot Classification Methods Based on Multiscale Relational Networks
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A Few Shot Classification Methods Based on Multiscale Relational Networks

Applied 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/app12084059

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7
Finger Vein and Inner Knuckle Print Recognition Based on Multilevel Feature Fusion Network
Finger Vein and Inner Knuckle Print Recognition Based on Multilevel Feature Fusion Network
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Finger Vein and Inner Knuckle Print Recognition Based on Multilevel Feature Fusion Network

Applied sciences, 2022-11, Vol.12 (21), p.11182 [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/app122111182

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8
Semi-CNN Architecture for Effective Spatio-Temporal Learning in Action Recognition
Semi-CNN Architecture for Effective Spatio-Temporal Learning in Action Recognition
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Semi-CNN Architecture for Effective Spatio-Temporal Learning in Action Recognition

Applied sciences, 2020-01, Vol.10 (2), p.557 [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. ;info:eu-repo/semantics/openAccess ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10020557

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9
An Easy Partition Approach for Joint Entity and Relation Extraction
An Easy Partition Approach for Joint Entity and Relation Extraction
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An Easy Partition Approach for Joint Entity and Relation Extraction

Applied sciences, 2023-07, Vol.13 (13), p.7585 [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/app13137585

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10
A Novel Machine Learning Approach for Tuberculosis Segmentation and Prediction Using Chest-X-Ray (CXR) Images
A Novel Machine Learning Approach for Tuberculosis Segmentation and Prediction Using Chest-X-Ray (CXR) Images
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A Novel Machine Learning Approach for Tuberculosis Segmentation and Prediction Using Chest-X-Ray (CXR) Images

Applied sciences, 2021-10, Vol.11 (19), p.9057 [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/app11199057

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11
Human-Assisted vs. Deep Learning Feature Extraction: An Evaluation of ECG Features Extraction Methods for Arrhythmia Classification Using Machine Learning
Human-Assisted vs. Deep Learning Feature Extraction: An Evaluation of ECG Features Extraction Methods for Arrhythmia Classification Using Machine Learning
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Human-Assisted vs. Deep Learning Feature Extraction: An Evaluation of ECG Features Extraction Methods for Arrhythmia Classification Using Machine Learning

Applied sciences, 2022-08, Vol.12 (15), p.7404 [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/app12157404

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12
Automatic Essay Scoring Method Based on Multi-Scale Features
Automatic Essay Scoring Method Based on Multi-Scale Features
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Automatic Essay Scoring Method Based on Multi-Scale Features

Applied sciences, 2023-06, Vol.13 (11), p.6775 [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/app13116775

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13
Composition Component Influence on Concrete Properties with the Additive of Rubber Tree Seed Shells
Composition Component Influence on Concrete Properties with the Additive of Rubber Tree Seed Shells
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Composition Component Influence on Concrete Properties with the Additive of Rubber Tree Seed Shells

Applied sciences, 2022-11, Vol.12 (22), p.11744 [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/app122211744

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14
Efficient and Accurate Hemorrhages Detection in Retinal Fundus Images Using Smart Window Features
Efficient and Accurate Hemorrhages Detection in Retinal Fundus Images Using Smart Window Features
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Efficient and Accurate Hemorrhages Detection in Retinal Fundus Images Using Smart Window Features

Applied sciences, 2021-07, Vol.11 (14), p.6391 [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/app11146391

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15
Monitoring of the Dehydration Process of Apple Snacks with Visual Feature Extraction and Image Processing Techniques
Monitoring of the Dehydration Process of Apple Snacks with Visual Feature Extraction and Image Processing Techniques
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Monitoring of the Dehydration Process of Apple Snacks with Visual Feature Extraction and Image Processing Techniques

Applied sciences, 2022-11, Vol.12 (21), p.11269 [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/app122111269

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16
Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction
Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction
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Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction

Applied sciences, 2019-04, Vol.9 (7), p.1291 [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/app9071291

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17
Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method
Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method
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Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method

Applied sciences, 2021-02, Vol.11 (4), p.1442 [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. ;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 (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/app11041442

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18
Extrinsic Behavior Prediction of Pedestrians via Maximum Entropy Markov Model and Graph-Based Features Mining
Extrinsic Behavior Prediction of Pedestrians via Maximum Entropy Markov Model and Graph-Based Features Mining
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Extrinsic Behavior Prediction of Pedestrians via Maximum Entropy Markov Model and Graph-Based Features Mining

Applied sciences, 2022-06, Vol.12 (12), p.5985 [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/app12125985

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19
A Bipolar Voltage Gain Boost AC-AC Converter Based on Four Switching Transistors
A Bipolar Voltage Gain Boost AC-AC Converter Based on Four Switching Transistors
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A Bipolar Voltage Gain Boost AC-AC Converter Based on Four Switching Transistors

Applied sciences, 2021-11, Vol.11 (21), p.10254 [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/app112110254

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20
A Quantum Weak Signal Detection Method for Strengthening Target Signal Features under Strong White Gaussian Noise
A Quantum Weak Signal Detection Method for Strengthening Target Signal Features under Strong White Gaussian Noise
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A Quantum Weak Signal Detection Method for Strengthening Target Signal Features under Strong White Gaussian Noise

Applied sciences, 2022-02, Vol.12 (4), p.1878 [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/app12041878

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