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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Hand Gesture Recognition with Skin Detection and Deep Learning MethodJournal of physics. Conference series, 2019-06, Vol.1213 (2), p.22001 [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: 10.1088/1742-6596/1213/2/022001Full text available |
| 2 |
Material Type: Article
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Machine Learning in High Energy Physics Community White PaperJournal of physics. Conference series, 2018-09, Vol.1085 (2), p.22008 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2018. 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 ;ISSN: 1742-6596 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1085/2/022008Full text available |
| 3 |
Material Type: Article
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The quality of coffee bean classification system based on color by using k-nearest neighbor methodJournal of physics. Conference series, 2022-01, Vol.2157 (1), p.12034 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2157/1/012034Full text available |
| 4 |
Material Type: Article
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Predicting and Evaluating the Online News Popularity based on Random ForestJournal of physics. Conference series, 2021-08, Vol.1994 (1), p.12040 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2021. 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: 10.1088/1742-6596/1994/1/012040Full text available |
| 5 |
Material Type: Article
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Model Extraction Attack and Defense on Deep Generative ModelsJournal of physics. Conference series, 2022-02, Vol.2189 (1), p.12024 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2189/1/012024Full text available |
| 6 |
Material Type: Article
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An Contract Theory based Federated Learning Aggregation Algorithm in IoT NetworkJournal of physics. Conference series, 2022-04, Vol.2258 (1), p.12008 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2258/1/012008Full text available |
| 7 |
Material Type: Article
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A Study of an Engine Anomaly Detection Model IForest-ADOAJournal of physics. Conference series, 2022-01, Vol.2171 (1), p.12075 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2171/1/012075Full text available |
| 8 |
Material Type: Article
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L-Diversity for Data Analysis: Data Swapping with Customized ClusteringJournal of physics. Conference series, 2021-11, Vol.2089 (1), p.12050 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2089/1/012050Full text available |
| 9 |
Material Type: Article
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Realization of an Adaptive Test Paper Generation Function based on DPC AlgorithmJournal of physics. Conference series, 2022-01, Vol.2171 (1), p.12056 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2171/1/012056Full text available |
| 10 |
Material Type: Article
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A Survey on the Security of PUFsJournal of physics. Conference series, 2021-08, Vol.1993 (1), p.12031 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2021. 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: 10.1088/1742-6596/1993/1/012031Full text available |
| 11 |
Material Type: Article
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Simulation of auto obstacle avoidance based on Unity machine learningJournal of physics. Conference series, 2021-04, Vol.1883 (1), p.12048 [Peer Reviewed Journal]2021. 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: 10.1088/1742-6596/1883/1/012048Full text available |
| 12 |
Material Type: Article
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Research of Incremental Learning Algorithm for SVM Based on Class Center DiameterJournal of physics. Conference series, 2021-04, Vol.1894 (1), p.12074 [Peer Reviewed Journal]2021. 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: 10.1088/1742-6596/1894/1/012074Full text available |
| 13 |
Material Type: Article
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Review on data imputation methods in machine learningJournal of physics. Conference series, 2023-12, Vol.2646 (1), p.12034 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2646/1/012034Full text available |
| 14 |
Material Type: Article
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Improvements in adverse drug reaction predictionJournal of physics. Conference series, 2023-12, Vol.2646 (1), p.12041 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2646/1/012041Full text available |
| 15 |
Material Type: Article
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An Efficient Spam SMS Analysis Model based on Multinomial Naïve Bayes model Using Passive Aggressive AlgorithmJournal of physics. Conference series, 2021-08, Vol.2007 (1), p.12047 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2007/1/012047Full text available |
| 16 |
Material Type: Article
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How good is the advice from ChatGPT for building science? Comparison of four scenariosJournal of physics. Conference series, 2023-11, Vol.2600 (8), p.82006 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2600/8/082006Full text available |
| 17 |
Material Type: Article
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Natural scene text detection algorithm based on the regional proposalJournal of physics. Conference series, 2023-08, Vol.2562 (1), p.12015 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2562/1/012015Full text available |
| 18 |
Material Type: Article
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Attention-based Machine Learning Model for Smart Contract Vulnerability DetectionJournal of physics. Conference series, 2021-03, Vol.1820 (1), p.12004 [Peer Reviewed Journal]2021. 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: 10.1088/1742-6596/1820/1/012004Full text available |
| 19 |
Material Type: Article
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Research on Processing the Feature Model of Converter Station Based on Machine LearningJournal of physics. Conference series, 2023-05, Vol.2488 (1), p.12034 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. 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: 10.1088/1742-6596/2488/1/012034Full text available |
| 20 |
Material Type: Article
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Accuracy assessment of applied supervised machine learning models on usual data probability distributionsJournal of physics. Conference series, 2021-01, Vol.1743 (1), p.12011 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2021. 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: 10.1088/1742-6596/1743/1/012011Full text available |
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