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Titlebook: Enterprise Design, Operations, and Computing; 26th International C João Paulo A. Almeida,Dimka Karastoyanova,Claudeni Conference proceeding

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Ratification and Implementation,ing, implementation, execution, monitoring, and analysis of business processes, IoT fosters the collection and exchange of data over the Internet. By enriching BPM solutions with real-world IoT data both process automation and process monitoring can be improved. Furthermore, IoT data can be utilized
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Coronal Sections of the Tree Shrew BrainModel and Notation (BPMN) via exception events. Event-data-driven analysis techniques using such process models, e.g., conformance checking, require converting the BPMN model into a formal process modeling representation, i.e., Petri nets. However, the existing transformation of BPMN models with exc
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https://doi.org/10.1057/9781137352750world texts. In this paper we investigate the usage of pre-trained language models and in-context learning to address the problem of . as a way to exploit the power of deep learning approaches while relying on few annotated data. In particular, we investigate the usage of the native GPT-3 model and
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https://doi.org/10.1007/978-981-19-9143-1 Process-Driven Applications (PDA). When evolving PDAs, the affected test cases must be identified and co-evolved as well. In this process, affected test cases can be overlooked, misunderstandings may occur during communication between different roles involved, and implementation errors can arise. R
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Techniques of surgical treatment,erature review is to identify core concepts and relationships that are used to describe security issues. We further analyse and map these core concepts and relationships to five security standards (i.e., NIST SP 800-160, NIST SP 800-30 rev.1, NIST SP 800-27 rev.A, ISO/IEC 27001 and NISTIR 8053). As
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