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1
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
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Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.4953 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21154953 ;PMID: 34372189

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2
Correction: Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases
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Correction: Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases

PloS one, 2023-12, Vol.18 (12), p.e0296316-e0296316 [Peer Reviewed Journal]

Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Liu et al 2023 Liu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0296316 ;PMID: 38113244

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3
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.818 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17040818 ;PMID: 28394270

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4
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
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Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2852 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21082852 ;PMID: 33919583

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5
Advances in de Novo Drug Design: From Conventional to Machine Learning Methods
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Article
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Advances in de Novo Drug Design: From Conventional to Machine Learning Methods

International journal of molecular sciences, 2021-02, Vol.22 (4), p.1676 [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. 2021 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22041676 ;PMID: 33562347

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6
3D Deep Learning on Medical Images: A Review
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Article
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3D Deep Learning on Medical Images: A Review

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5097 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20185097 ;PMID: 32906819

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7
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
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Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

BMC genomics, 2018-07, Vol.19 (1), p.511-511, Article 511 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. 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. ;The Author(s) 2018 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-018-4889-1 ;PMID: 29970003

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8
A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition
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A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition

Sensors (Basel, Switzerland), 2020-10, Vol.20 (19), p.5707 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20195707 ;PMID: 33036479

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9
ITED-Face/I: Texture-Enhanced Deep Face Reconstruction in the Wild
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ITED-Face/I: Texture-Enhanced Deep Face Reconstruction in the Wild

Sensors (Basel, Switzerland), 2023-07, Vol.23 (14) [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23146525

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10
Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks
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Article
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Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks

Sensors (Basel, Switzerland), 2022-01, Vol.22 (3), p.1051 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22031051 ;PMID: 35161797

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11
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images
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Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images

Sensors (Basel, Switzerland), 2022-02, Vol.22 (3), p.1134 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22031134 ;PMID: 35161878

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12
Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D
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Article
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Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D

Proceedings of the National Academy of Sciences - PNAS, 2018-09, Vol.115 (36), p.9026-9031 [Peer Reviewed Journal]

Volumes 1–89 and 106–115, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Sep 4, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1804420115 ;PMID: 30135100

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13
CNN and LSTM-Based Emotion Charting Using Physiological Signals
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Article
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CNN and LSTM-Based Emotion Charting Using Physiological Signals

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4551 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20164551 ;PMID: 32823807

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14
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
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Article
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Nature communications, 2022-05, Vol.13 (1), p.2453-2453, Article 2453 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-29939-5 ;PMID: 35508450

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15
Application of deep learning methods in biological networks
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Article
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Application of deep learning methods in biological networks

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1902-1917 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa043 ;PMID: 32363401

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16
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Genome Biology, 2019-10, Vol.20 (1), p.211-211, Article 211 [Peer Reviewed Journal]

2019. 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. ;The Author(s). 2019 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-019-1837-6 ;PMID: 31627739

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17
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks
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Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks

The Journal of neuroscience, 2018-08, Vol.38 (33), p.7255-7269 [Peer Reviewed Journal]

Copyright © 2018 the authors 0270-6474/18/387255-15$15.00/0. ;Copyright Society for Neuroscience Aug 15, 2018 ;Copyright © 2018 the authors 0270-6474/18/387255-15$15.00/0 2018 ;ISSN: 0270-6474 ;EISSN: 1529-2401 ;DOI: 10.1523/jneurosci.0388-18.2018 ;PMID: 30006365

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18
Entity recognition from clinical texts via recurrent neural network
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Entity recognition from clinical texts via recurrent neural network

BMC medical informatics and decision making, 2017-07, Vol.17 (Suppl 2), p.67-67, Article 67 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-017-0468-7 ;PMID: 28699566

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19
Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity
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Article
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Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

Sensors (Basel, Switzerland), 2018-01, Vol.18 (1), p.209 [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. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010209 ;PMID: 29329268

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20
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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Forecasting stock prices with long-short term memory neural network based on attention mechanism

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770

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