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21
2.5D Facial Personality Prediction Based on Deep Learning
2.5D Facial Personality Prediction Based on Deep Learning
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2.5D Facial Personality Prediction Based on Deep Learning

Journal of advanced transportation, 2021-06, Vol.2021, p.1-12 [Peer Reviewed Journal]

Copyright © 2021 Jia Xu et al. ;COPYRIGHT 2021 Hindawi Limited ;Copyright © 2021 Jia Xu et al. This work is licensed under http://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: 0197-6729 ;EISSN: 2042-3195 ;DOI: 10.1155/2021/5581984

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22
2b or not 2b: on the rejection of g →bb¯ jets
2b or not 2b: on the rejection of g →bb¯ jets
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2b or not 2b: on the rejection of g →bb¯ jets

The journal of high energy physics, 2023-12, Vol.2023 (12), p.110 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is published under http://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. ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP12(2023)110

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23
2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System
2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System
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2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3298 [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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23063298 ;PMID: 36992009

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24
2D CNN-Based Multi-Output Diagnosis for Compound Bearing Faults under Variable Rotational Speeds
2D CNN-Based Multi-Output Diagnosis for Compound Bearing Faults under Variable Rotational Speeds
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2D CNN-Based Multi-Output Diagnosis for Compound Bearing Faults under Variable Rotational Speeds

Machines (Basel), 2021-09, Vol.9 (9), p.199 [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: 2075-1702 ;EISSN: 2075-1702 ;DOI: 10.3390/machines9090199

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25
2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements
2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements
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2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements

Materials, 2020-08, Vol.13 (16), p.3527 [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. ;2020 by the authors. 2020 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma13163527 ;PMID: 32785087

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26
2D grapevine winter pruning location detection method based on thinning algorithm and Lightweight Convolutional Neural Network
2D grapevine winter pruning location detection method based on thinning algorithm and Lightweight Convolutional Neural Network
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2D grapevine winter pruning location detection method based on thinning algorithm and Lightweight Convolutional Neural Network

International journal of agricultural and biological engineering, 2022-01, Vol.15 (1), p.1-15 [Peer Reviewed Journal]

2022. This work is published under https://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: 1934-6344 ;EISSN: 1934-6352

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27
2D Object Detection and Recognition: Models, Algorithms and Networks
2D Object Detection and Recognition: Models, Algorithms and Networks
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2D Object Detection and Recognition: Models, Algorithms and Networks

Sensor Review, 2003-03, Vol.23 (1), p.81-81 [Peer Reviewed Journal]

MCB UP Limited ;Copyright MCB UP Limited (MCB) 2003 ;ISSN: 0260-2288 ;EISSN: 1758-6828 ;DOI: 10.1108/sr.2003.08723aae.001 ;CODEN: SNRVDY

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28
2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes
2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes
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2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes

Neural computing & applications, 2018-04, Vol.29 (7), p.329-341 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-3235-x

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29
2D Semantic Segmentation: Recent Developments and Future Directions
2D Semantic Segmentation: Recent Developments and Future Directions
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2D Semantic Segmentation: Recent Developments and Future Directions

Future internet, 2023-06, Vol.15 (6), p.205 [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: 1999-5903 ;EISSN: 1999-5903 ;DOI: 10.3390/fi15060205

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30
2D Winograd CNN Chip for COVID-19 and Pneumonia Detection
2D Winograd CNN Chip for COVID-19 and Pneumonia Detection
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2D Winograd CNN Chip for COVID-19 and Pneumonia Detection

Applied sciences, 2022-12, Vol.12 (24), p.12891 [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. ;EISSN: 2076-3417 ;DOI: 10.3390/app122412891

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31
2D&3DHNet for 3D Object Classification in LiDAR Point Cloud
2D&3DHNet for 3D Object Classification in LiDAR Point Cloud
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2D&3DHNet for 3D Object Classification in LiDAR Point Cloud

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3146 [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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14133146

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32
2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images
2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images
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2dCNN-BiCuDNNLSTM: Hybrid Deep-Learning-Based Approach for Classification of COVID-19 X-ray Images

Sustainability, 2022-06, Vol.14 (11), p.6785 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;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: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su14116785

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33
2DPCANet: a deep leaning network for face recognition
2DPCANet: a deep leaning network for face recognition
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2DPCANet: a deep leaning network for face recognition

Multimedia tools and applications, 2018-05, Vol.77 (10), p.12919-12934 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2017 ;Multimedia Tools and Applications is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-017-4923-3

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34
3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net
3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net
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3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net

Scientific reports, 2023-12, Vol.13 (1), p.22625-22625, Article 22625 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023. This work is published under http://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. ;The Author(s) 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-49794-8 ;PMID: 38114666

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35
3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images
3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images
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3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.883 [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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11070883

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36
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0
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3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

Computers in biology and medicine, 2020-10, Vol.125, p.103958-103958, Article 103958 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103958 ;PMID: 32927257

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37
3-D vision-assist guidance for robots or the visually impaired
3-D vision-assist guidance for robots or the visually impaired
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3-D vision-assist guidance for robots or the visually impaired

Industrial robot, 2014-01, Vol.41 (4), p.351-364 [Peer Reviewed Journal]

Emerald Group Publishing Limited ;Emerald Group Publishing Limited 2014 ;ISSN: 0143-991X ;EISSN: 1758-5791 ;DOI: 10.1108/IR-12-2013-427 ;CODEN: IDRBAT

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38
3-Day-Ahead Forecasting of Regional Pollution Index for the Pollutants NO₂, CO, SO₂, and O₃ Using Artificial Neural Networks in Athens, Greece
3-Day-Ahead Forecasting of Regional Pollution Index for the Pollutants NO₂, CO, SO₂, and O₃ Using Artificial Neural Networks in Athens, Greece
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3-Day-Ahead Forecasting of Regional Pollution Index for the Pollutants NO₂, CO, SO₂, and O₃ Using Artificial Neural Networks in Athens, Greece

Water, air, and soil pollution, 2010-06, Vol.209 (1-4), p.29-43 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2009 ;2015 INIST-CNRS ;Springer Science+Business Media B.V. 2010 ;ISSN: 0049-6979 ;EISSN: 1573-2932 ;DOI: 10.1007/s11270-009-0179-5 ;CODEN: WAPLAC

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39
3-day-ahead forecasting of regional pollution index for the pollutants N[O.sub.2], CO, S[O.sub.2], and [O.sub.3] using artificial neural networks in Athens, Greece
3-day-ahead forecasting of regional pollution index for the pollutants N[O.sub.2], CO, S[O.sub.2], and [O.sub.3] using artificial neural networks in Athens, Greece
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3-day-ahead forecasting of regional pollution index for the pollutants N[O.sub.2], CO, S[O.sub.2], and [O.sub.3] using artificial neural networks in Athens, Greece

Water, air, and soil pollution, 2010-06, Vol.209 (1-4), p.29 [Peer Reviewed Journal]

COPYRIGHT 2010 Springer ;ISSN: 0049-6979 ;EISSN: 1573-2932 ;DOI: 10.1007/s11270-009-0179-5

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40
3-level Confidence Voting Strategy for Dynamic Fusion-Selection of Classifier Ensembles
3-level Confidence Voting Strategy for Dynamic Fusion-Selection of Classifier Ensembles
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3-level Confidence Voting Strategy for Dynamic Fusion-Selection of Classifier Ensembles

Acta cybernetica (Szeged), 2009, Vol.19 (1), p.41-60 [Peer Reviewed Journal]

Copyright Laszlo Nyul Jan 2009 ;ISSN: 0324-721X ;DOI: 10.14232/actacyb.19.1.2009.4

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