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1
1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals Under White Gaussian Noise
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1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals Under White Gaussian Noise

IEEE access, 2020, Vol.8, p.180534-180543 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3027472 ;CODEN: IAECCG

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2
1DCNN Fault Diagnosis Based on Cubic Spline Interpolation Pooling
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1DCNN Fault Diagnosis Based on Cubic Spline Interpolation Pooling

Shock and vibration, 2020, Vol.2020, p.1-13 [Peer Reviewed Journal]

Copyright © 2020 Shuzhan Huang et al. ;COPYRIGHT 2020 Hindawi Limited ;Copyright © 2020 Shuzhan Huang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0 ;ISSN: 1070-9622 ;EISSN: 1875-9203 ;DOI: 10.1155/2020/1949863

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3
2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma
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2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma

Computers in biology and medicine, 2023-01, Vol.152, p.106333-106333, Article 106333 [Peer Reviewed Journal]

2022 ;Copyright © 2022. Published by Elsevier Ltd. ;Copyright Elsevier Limited Jan 2023 ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.106333 ;PMID: 36463793

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4
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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5
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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6
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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7
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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8
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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9
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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10
3-D vision-assist guidance for robots or the visually impaired
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Article
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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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11
35 Years of (AI) in Geotechnical Engineering: State of the Art
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Article
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35 Years of (AI) in Geotechnical Engineering: State of the Art

Geotechnical and geological engineering, 2021-02, Vol.39 (2), p.637-690 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;Springer Nature Switzerland AG 2020. ;ISSN: 0960-3182 ;EISSN: 1573-1529 ;DOI: 10.1007/s10706-020-01536-7

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12
3D-2D Distance Maps Conversion Enhances Classification of Craniosynostosis
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3D-2D Distance Maps Conversion Enhances Classification of Craniosynostosis

IEEE transactions on biomedical engineering, 2023-11, p.1-10 [Peer Reviewed Journal]

ISSN: 0018-9294 ;EISSN: 1558-2531 ;DOI: 10.1109/TBME.2023.3278030 ;CODEN: IEBEAX

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13
3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review
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3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review

Applied sciences, 2019-09, Vol.9 (18), p.3904 [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/app9183904

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14
3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks
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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks

Cardiovascular engineering and technology, 2020-10, Vol.11 (5), p.576-586 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 1869-408X ;EISSN: 1869-4098 ;DOI: 10.1007/s13239-020-00481-z

Digital Resources/Online E-Resources

15
3D Behavior Recognition Based on Multi-Modal Deep Space-Time Learning
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Article
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3D Behavior Recognition Based on Multi-Modal Deep Space-Time Learning

Applied sciences, 2019-02, Vol.9 (4), p.716 [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/app9040716

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16
3D cerebral MR image segmentation using multiple-classifier system
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3D cerebral MR image segmentation using multiple-classifier system

Medical & biological engineering & computing, 2017-03, Vol.55 (3), p.353-364 [Peer Reviewed Journal]

International Federation for Medical and Biological Engineering 2016 ;Medical & Biological Engineering & Computing is a copyright of Springer, 2017. ;ISSN: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-016-1483-z ;PMID: 27207464

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17
3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI
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3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI

IEEE access, 2017-01, Vol.5, p.23626-23636 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2762703 ;CODEN: IAECCG

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18
3D Convolution Recurrent Neural Networks for Multi-Label Earthquake Magnitude Classification
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Article
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3D Convolution Recurrent Neural Networks for Multi-Label Earthquake Magnitude Classification

Applied sciences, 2022-02, Vol.12 (4), p.2195 [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/app12042195

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19
3D convolutional neural network for object recognition: a review
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3D convolutional neural network for object recognition: a review

Multimedia tools and applications, 2019-06, Vol.78 (12), p.15951-15995 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2018 ;Multimedia Tools and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-018-6912-6

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20
3D Convolutional Neural Networks for Remote Pulse Rate Measurement and Mapping from Facial Video
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3D Convolutional Neural Networks for Remote Pulse Rate Measurement and Mapping from Facial Video

Applied sciences, 2019-10, Vol.9 (20), p.4364 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9204364

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