Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Article
|
Diagnosis of COVID-19 using CT scan images and deep learning techniquesEmergency radiology, 2021-06, Vol.28 (3), p.497-505 [Peer Reviewed Journal]American Society of Emergency Radiology 2021 ;American Society of Emergency Radiology 2021. ;ISSN: 1070-3004 ;EISSN: 1438-1435 ;DOI: 10.1007/s10140-020-01886-y ;PMID: 33523309Full text available |
|
2 |
Material Type: Article
|
Review of deep learning: concepts, CNN architectures, challenges, applications, future directionsJournal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. 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. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053Full text available |
|
3 |
Material Type: Article
|
Deep Learning for Channel Estimation: Interpretation, Performance, and ComparisonIEEE transactions on wireless communications, 2021-04, Vol.20 (4), p.2398-2412 [Peer Reviewed Journal]ISSN: 1536-1276 ;EISSN: 1558-2248 ;DOI: 10.1109/TWC.2020.3042074 ;CODEN: ITWCAXDigital Resources/Online E-Resources |
|
4 |
Material Type: Article
|
Novel convolutional neural networks for efficient classification of rotated and scaled imagesNeural computing & applications, 2022-07, Vol.34 (13), p.10519-10532 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. 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. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06645-9Full text available |
|
5 |
Material Type: Article
|
Self-Supervised Model Adaptation for Multimodal Semantic SegmentationInternational journal of computer vision, 2020-05, Vol.128 (5), p.1239-1285 [Peer Reviewed Journal]Springer Science+Business Media, LLC, part of Springer Nature 2019 ;COPYRIGHT 2020 Springer ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-019-01188-yFull text available |
|
6 |
Material Type: Article
|
Amino Acid Encoding for Deep Learning ApplicationsBMC bioinformatics, 2020-06, Vol.21 (1), p.235-235, Article 235 [Peer Reviewed Journal]Copyright Determination: MAY_INCLUDE_COPYRIGHT_MATERIAL ;COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03546-x ;PMID: 32517697Full text available |
|
7 |
Material Type: Article
|
EEG‐based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative featuresHuman brain mapping, 2019-11, Vol.40 (16), p.4606-4617 [Peer Reviewed Journal]2019 Wiley Periodicals, Inc. ;ISSN: 1065-9471 ;EISSN: 1097-0193 ;DOI: 10.1002/hbm.24724 ;PMID: 31322793Full text available |
|
8 |
Material Type: Article
|
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyondKnowledge and information systems, 2022-12, Vol.64 (12), p.3197-3234 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-022-01756-8Full text available |
|
9 |
Material Type: Article
|
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and TreatmentIEEE access, 2020-01, Vol.8, p.109581-109595 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3001973 ;PMID: 34192103 ;CODEN: IAECCGFull text available |
|
10 |
Material Type: Article
|
Real-time polyp detection model using convolutional neural networksNeural computing & applications, 2022-07, Vol.34 (13), p.10375-10396 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. 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. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06496-4Full text available |
|
11 |
Material Type: Article
|
Word2vec convolutional neural networks for classification of news articles and tweetsPloS one, 2019-08, Vol.14 (8), p.e0220976-e0220976 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Jang 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. ;2019 Jang et al 2019 Jang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0220976 ;PMID: 31437181Full text available |
|
12 |
Material Type: Article
|
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide DetectionRemote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196 [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/rs11020196Full text available |
|
13 |
Material Type: Article
|
Survey on deep learning for radiotherapyComputers in biology and medicine, 2018-07, Vol.98, p.126-146 [Peer Reviewed Journal]2018 Elsevier Ltd ;Copyright © 2018 Elsevier Ltd. All rights reserved. ;Copyright Elsevier Limited Jul 1, 2018 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2018.05.018 ;PMID: 29787940Full text available |
|
14 |
Material Type: Article
|
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learningComputers in biology and medicine, 2021-08, Vol.135, p.104418-104418, Article 104418 [Peer Reviewed Journal]2021 Elsevier Ltd ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104418Full text available |
|
15 |
Material Type: Article
|
A guide to machine learning for biologistsNature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal]2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686Full text available |
|
16 |
Material Type: Article
|
Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future DirectionsComputation, 2023-03, Vol.11 (3), p.52 [Peer Reviewed Journal]COPYRIGHT 2023 MDPI AG ;2023 by the author. 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: 2079-3197 ;EISSN: 2079-3197 ;DOI: 10.3390/computation11030052Full text available |
|
17 |
Material Type: Article
|
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion SusceptibilitySensors (Basel, Switzerland), 2020-09, Vol.20 (19), p.5609 [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/s20195609 ;PMID: 33008132Full text available |
|
18 |
Material Type: Article
|
Deep convolutional neural networks for mammography: advances, challenges and applicationsBMC bioinformatics, 2019-06, Vol.20 (Suppl 11), p.281-281, Article 281 [Peer Reviewed Journal]COPYRIGHT 2019 BioMed Central Ltd. ;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: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2823-4 ;PMID: 31167642Full text available |
|
19 |
Material Type: Article
|
Deep Learning in Mining Biological DataCognitive computation, 2021, Vol.13 (1), p.1-33 [Peer Reviewed Journal]The Author(s) 2020 ;ISSN: 1866-9956 ;EISSN: 1866-9964 ;DOI: 10.1007/s12559-020-09773-xDigital Resources/Online E-Resources |
|
20 |
Material Type: Article
|
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning TechniqueIEEE access, 2021, Vol.9, p.71194-71209 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3079204 ;CODEN: IAECCGFull text available |