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Titlebook: Emerging Technologies in Computing; 5th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2023 ICST Inst

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發(fā)表于 2025-3-21 16:22:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emerging Technologies in Computing
副標(biāo)題5th EAI Internationa
編輯Mahdi H. Miraz,Garfield Southall,Andrew Ware
視頻videohttp://file.papertrans.cn/309/308443/308443.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Emerging Technologies in Computing; 5th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2023 ICST Inst
描述This book constitutes the refereed conference proceedings of the?5th EAI International Conference on Emerging Technologies in Computing, iCETiC 2022, held in Chester, UK, August 15-16, 2022.. The 16 full papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows:Cloud, IoT and Distributed Computing; and AI, Expert Systems and Big Data Analytics..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; commerce; communication systems; computer hardware; computer networks; computer
版次1
doihttps://doi.org/10.1007/978-3-031-25161-0
isbn_softcover978-3-031-25160-3
isbn_ebook978-3-031-25161-0Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
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Evaluation of Semantic Interoperability of Automotive Service API Models Based on Metamodels Similarifying semantic associations between components’ interface model concepts based on the domain knowledge. Apart from the semantic mapping of interface ontological metamodels, this work also defines quality metrics to determine the degree of semantic alignment achieved between the various interface on
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Data Integrity for Dynamic Big Data in Cloud Storage: A Comprehensive Review and Critical Issuesta integrity techniques for cloud storage (CS) and previous work on basic requirements for an effective data integrity technique for big data applications. Methods used to provide dynamic PoR are discussed before summarizing the classification of the POR state-of-the-art. The recently proposed techn
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Stock Price Prediction Using Semi-supervised Ridge Regressionata instances from a dataset that comprises both labelled and unlabelled data. Utilising the labelled training data, a regression algorithm was trained and the unlabelled data were predicted. This newly labelled data is called ‘pseudo-labelled’ data, which is then concatenated with the train data to
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