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Titlebook: Engineering of Computer-Based Systems; 8th International Co Jan Kofroň,Tiziana Margaria,Cristina Seceleanu Conference proceedings 2024 The

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書(shū)目名稱(chēng)Engineering of Computer-Based Systems
副標(biāo)題8th International Co
編輯Jan Kofroň,Tiziana Margaria,Cristina Seceleanu
視頻videohttp://file.papertrans.cn/312/311032/311032.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Engineering of Computer-Based Systems; 8th International Co Jan Kofroň,Tiziana Margaria,Cristina Seceleanu Conference proceedings 2024 The
描述This book constitutes the refereed proceedings of the 8th International Conference on Engineering of Computer-Based Systems, ECBS 2023, which was held in V?ster?s, Sweden, in October 2023.. The 11 full papers included in this book were carefully reviewed and selected from 26 submissions and present software, hardware, and communication perspectives of systems engineering through its many facets. The special theme of this year is ”Engineering for Responsible AI“.
出版日期Conference proceedings 2024
關(guān)鍵詞Artificial intelligence; Embedded and cyber-physical systems; Machine learning; Model verification and
版次1
doihttps://doi.org/10.1007/978-3-031-49252-5
isbn_softcover978-3-031-49251-8
isbn_ebook978-3-031-49252-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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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,Ambient Temperature Prediction for?Embedded Systems Using Machine Learning,and’s board. After providing an overview of the related work, we describe how we train the two ML models and identify the optimal training and test datasets to avoid the problems of data under- and over-fitting. Given this train/test split, the trained RF and XGBoost models provide temperature predi
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A Federated Learning Algorithms Development Paradigm,work targeting smart Internet of Things in edge systems is still an open challenge. A solution to that challenge named Python Testbed for Federated Learning Algorithms (PTB-FLA) appeared recently. This solution is written in pure Python, it supports both centralized and decentralized algorithms, and
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,Learning in?Uppaal for?Test Case Generation for?Cyber-Physical Systems,ta for modelling. Different from other studies, we construct the model from the environment’s perspective. After building the model, we synthesize policies for different kinds of environments by using reinforcement learning in Uppaal and parse the policies for test-case generation. Statistical model
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,A Literature Survey of?Assertions in?Software Testing,lidation tasks. We provide an overview of the last two decades of research involving ‘a(chǎn)ssertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the solution designed, and the evaluation conducted. Th
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,FPGA-Based Encryption for?Peer-to-Peer Industrial Network Links,ential to extend IT security across increasingly connected factories. However, in the highly specialised field of operations technology and embedded systems, not every device can run additional security measures, as they are old or designed with sparse resources. We introduce here the concept of a “
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,Formalization and?Verification of?MQTT-SN Communication Using CSP,nderlying protocol to provide ordered and reliable connections during transmission, making it ideal for sensors in WSN with extremely limited computing power and resources. Due to the widespread use of WSN in various areas, the MQTT-SN protocol has promising application prospects. Furthermore, secur
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