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Titlebook: Current Trends in Web Engineering; ICWE 2022 Internatio Giuseppe Agapito,Anna Bernasconi,Abhishek Srivasta Conference proceedings 2023 The

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发表于 2025-3-21 19:57:20 | 显示全部楼层 |阅读模式
书目名称Current Trends in Web Engineering
副标题ICWE 2022 Internatio
编辑Giuseppe Agapito,Anna Bernasconi,Abhishek Srivasta
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Current Trends in Web Engineering; ICWE 2022 Internatio Giuseppe Agapito,Anna Bernasconi,Abhishek Srivasta Conference proceedings 2023 The
描述This volume constitutes the papers of several workshops which were held in conjunction with the ICWE 2022 International Workshops, BECS, SWEET and WALS, held in Bari, Italy, July 5–8, 2022..The 14 revised full papers and 1 short paper presented in this book were carefully reviewed and selected from 25 submissions. .ICWE 2022 presents the following three workshops:.Second International Workshop on Big Data driven Edge Cloud Services (BECS 2022).First International Workshop on the Semantic WEb of Everything (SWEET 2022).First International Workshop on Web Applications for Life Sciences (WALS 2022).
出版日期Conference proceedings 2023
关键词artificial intelligence; computer security; data communication systems; data security; databases; distrib
版次1
doihttps://doi.org/10.1007/978-3-031-25380-5
isbn_softcover978-3-031-25379-9
isbn_ebook978-3-031-25380-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Grundlagen der Halbleiterphysik,e between IoT environments in a model agnostic fashion, allowing users to share their knowledge whenever a new environment is encountered. This approach allowed us to eliminate training times and reach an average accuracy of 94.70%, making models automation effective from their acquisition in proact
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Sind Standards objektiv und neutral?ns show that in more than 60% of cases, the automatic operations have been successfully completed starting from the sensor node call for intervention, up to the object manipulation routine to ensure an adequate storage condition of the food. The promising results achieved by the present pilot study
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发表于 2025-3-22 17:39:51 | 显示全部楼层
CodeBERT Based Software Defect Prediction for Edge-Cloud Systemse first attempt to apply SDP to edge-cloud systems, and as a result of the evaluation, we can confirm the applicability of JIT SDP in edge-cloud project. In addition, we expect the proposed method would be helpful for the effective allocation of limited resources when developing edge-cloud systems.
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发表于 2025-3-22 23:39:16 | 显示全部楼层
A Novel Hybrid Approach for Localization in Wireless Sensor Networksn involving random forest and a multilateration approach. This hybrid approach takes advantage of the accuracy of ML localization and the iterative capabilities of multilateration. We demonstrate the efficacy of the proposed approach through experiments on a simulated set-up.
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An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systemse. Our experimental results show that JITLine and logistic regression produce superior performance, however, there exists a room to be improved. Through XAI (Explainable AI) analysis it turned out that the prediction performance is mainly affected by experience and history-related features among cha
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Knowledge Sharing in Proactive WoT Multi-environment Modelse between IoT environments in a model agnostic fashion, allowing users to share their knowledge whenever a new environment is encountered. This approach allowed us to eliminate training times and reach an average accuracy of 94.70%, making models automation effective from their acquisition in proact
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