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Titlebook: Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops; AI4EA, F-IDE, CoSim- Paolo Masci,Cinzia Bernardeschi,Maurizio Palm

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發(fā)表于 2025-3-21 19:23:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops
副標(biāo)題AI4EA, F-IDE, CoSim-
編輯Paolo Masci,Cinzia Bernardeschi,Maurizio Palmieri
視頻videohttp://file.papertrans.cn/871/870825/870825.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops; AI4EA, F-IDE, CoSim- Paolo Masci,Cinzia Bernardeschi,Maurizio Palm
描述This volume constitutes the revised selected papers from the four workshops collocated with the 20th International Conference on Software Engineering and Formal Methods, SEFM 2022, held in Berlin, Germany, in September 2022.. The 19 full papers presented together with 9 short papers in this volume were carefully reviewed and selected from a total of 39 submissions. The contributions that are collected in this volume have been selected from the presentations at the following workshops: AI4EA 2022: First Berlin Workshop on Artificial Intelligence for Engineering Applications; F-IDE 2022: 7th Workshop on Formal Integrated Development Environment; CoSim-CPS 2022: 6th Workshop on Formal Co-Simulation of Cyber-Physical Systems; CIFMA 2022: 4th International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications.
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computer hardware; computer programming; computer science; computer systems; emb
版次1
doihttps://doi.org/10.1007/978-3-031-26236-4
isbn_softcover978-3-031-26235-7
isbn_ebook978-3-031-26236-4Series 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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發(fā)表于 2025-3-21 20:40:38 | 只看該作者
Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops978-3-031-26236-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-22 00:53:16 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/870825.jpg
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https://doi.org/10.1007/978-3-031-26236-4artificial intelligence; computer hardware; computer programming; computer science; computer systems; emb
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A Case Study in?Formal Analysis of?System Requirementsents definition process. This has been done, on an experimental basis, by applying a specific set of tools and methodologies to a case study from the railway sector. The paper describes the approach adopted in the project and some considerations resulting from the experience.
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發(fā)表于 2025-3-22 19:15:03 | 只看該作者
Test and?Training Data Generation for?Object Recognition in?the?Railway Domain balanced datasets of scenarios to train and test AI, while adding the benefit of corner case generation by reducing to certain elements in the ontology. This article reports on the current status of the project and the goals it tries to achieve.
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Forecasting Algae Growth in?Photo-Bioreactors Using Attention LSTMse, performs process adaptations and thus significantly accelerates algae growth and scale-up. Therefore, an algae bioreactor was established at the University of Technology Sydney. The subject of this paper is the study of algae growth using Long Short-Term Memory Neural Networks (LSTMs). In order t
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發(fā)表于 2025-3-23 06:38:29 | 只看該作者
Fast Simulation Response by a Simulation Based Machine Learning (SMiLe) Approachfailures in a production process. The basis for this approach is a simulation that is well calibrated by experimental data for the manufacturing process and the materials involved. If computing resources and software licenses are available, the simulation can be used continuously to improve the simu
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