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Applications of federated learning in smart cities: recent advances, taxonomy, and open challengesConnection science, 2022-12, Vol.34 (1), p.1-28 [Peer Reviewed Journal]2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2021 ;2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 0954-0091 ;EISSN: 1360-0494 ;DOI: 10.1080/09540091.2021.1936455Full text available |
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Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 DatasetJournal of physics. Conference series, 2019-03, Vol.1192 (1), p.12018 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2019. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1192/1/012018Full text available |
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Material Type: Article
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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluationPeerJ. Computer science, 2021-07, Vol.7, p.e623-e623, Article e623 [Peer Reviewed Journal]COPYRIGHT 2021 PeerJ. Ltd. ;2021 Chicco et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Chicco et al. 2021 Chicco et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.623 ;PMID: 34307865Full text available |
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Material Type: Article
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Emotion Recognition based on EEG using LSTM Recurrent Neural NetworkInternational journal of advanced computer science & applications, 2017-01, Vol.8 (10)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. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2017.081046Full text available |
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Material Type: Article
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Introduction to ReconfigurationAlgorithms, 2018-04, Vol.11 (4), p.52 [Peer Reviewed Journal]Copyright MDPI AG 2018 ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a11040052Full text available |
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Material Type: Article
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Data augmentation: A comprehensive survey of modern approachesArray (New York), 2022-12, Vol.16, p.100258, Article 100258 [Peer Reviewed Journal]2022 The Authors ;ISSN: 2590-0056 ;EISSN: 2590-0056 ;DOI: 10.1016/j.array.2022.100258Full text available |
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Material Type: Article
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From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator AnsatzAlgorithms, 2019-02, Vol.12 (2), p.34 [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: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a12020034Full text available |
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Material Type: Article
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A survey on Image Data Augmentation for Deep LearningJournal of big data, 2019-07, Vol.6 (1), p.1-48, Article 60 [Peer Reviewed Journal]The Author(s) 2019 ;Journal of Big Data is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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/s40537-019-0197-0Full text available |
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9 |
Material Type: Article
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Research on the Application of Cryptography on the BlockchainJournal of physics. Conference series, 2019-02, Vol.1168 (3), p.32077 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2019. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1168/3/032077Full text available |
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Material Type: Article
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LiteRed 1.4: a powerful tool for reduction of multiloop integralsJournal of physics. Conference series, 2014-06, Vol.523 (1), p.12059-8 [Peer Reviewed Journal]2014. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/523/1/012059Full text available |
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Material Type: Article
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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 |
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Material Type: Article
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SymPy: symbolic computing in PythonPeerJ. Computer science, 2017-01, Vol.3, p.e103, Article e103 [Peer Reviewed Journal]COPYRIGHT 2017 PeerJ. Ltd. ;2017 Meurer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.103Full text available |
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13 |
Material Type: Article
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Survey on deep learning with class imbalanceJournal of big data, 2019-03, Vol.6 (1), p.1-54, Article 27 [Peer Reviewed Journal]The Author(s) 2019 ;Journal of Big Data is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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/s40537-019-0192-5Full text available |
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14 |
Material Type: Article
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Competitive Sparse Representation Classification for Face RecognitionInternational journal of advanced computer science & applications, 2015-01, Vol.6 (8)2015. 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2015.060801Full text available |
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Material Type: Article
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Bracken: estimating species abundance in metagenomics dataPeerJ. Computer science, 2017-01, Vol.3, p.e104, Article e104 [Peer Reviewed Journal]COPYRIGHT 2017 PeerJ. Ltd. ;2017 Lu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.104Full text available |
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16 |
Material Type: Article
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A survey on missing data in machine learningJournal of big data, 2021-10, Vol.8 (1), p.140-140, Article 140 [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/s40537-021-00516-9 ;PMID: 34722113Full text available |
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17 |
Material Type: Article
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ZH: A Complete Graphical Calculus for Quantum Computations Involving Classical Non-linearityElectronic proceedings in theoretical computer science, 2019-01, Vol.287 (Proc. QPL 2018), p.23-42ISSN: 2075-2180 ;EISSN: 2075-2180 ;DOI: 10.4204/EPTCS.287.2Full text available |
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18 |
Material Type: Article
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Credit Card Fraud Detection using Deep Learning based on Auto-Encoder and Restricted Boltzmann MachineInternational journal of advanced computer science & applications, 2018, Vol.9 (1)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. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2018.090103Full text available |
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Material Type: Article
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A survey on graph kernelsApplied network science, 2020-01, Vol.5 (1), p.1-42, Article 6 [Peer Reviewed Journal]The Author(s) 2019 ;Applied Network Science is a copyright of Springer, (2019). All Rights Reserved. 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: 2364-8228 ;EISSN: 2364-8228 ;DOI: 10.1007/s41109-019-0195-3Full text available |
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Material Type: Article
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Deep convolutional neural network based medical image classification for disease diagnosisJournal of big data, 2019-12, Vol.6 (1), p.1-18, Article 113 [Peer Reviewed Journal]The Author(s) 2019 ;Journal of Big Data is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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/s40537-019-0276-2Full text available |