glacial 发表于 2025-3-25 12:44:50
enactments. The framework hinges on an inductive-learning technique for discovering a special kind of predictive process models, which can support the run-time prediction of a given performance measure (e.g., the remaining processing time/steps) for an ongoing process instance, based on a modular rCrayon 发表于 2025-3-25 17:51:13
Robert P. Kurshanpport energy managers to (1) use the analytical and graphical methodology to determine the best investment option that satisfies the designed evaluation parameters, such as return on investment (ROI) and greenhouse gas (GHG) emissions; (2) develop a DGEI optimization model to solve energy investment除草剂 发表于 2025-3-25 20:14:08
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Robert P. Kurshannizations really do. Recent breakthroughs in process mining resulted in powerful techniques to discover the real processes, to detect deviations from normative process models, and to analyze bottlenecks and waste. Process mining and other data science techniques can be used to improve processes withEntropion 发表于 2025-3-26 06:59:41
Robert P. Kurshanirtual machines hosted and managed by a infrastructure as a service provider, or they can purchase access to a database service, maintained by a software as a service provider, without physically launching a virtual machine instance for the database. In a database service, application owners do notGRE 发表于 2025-3-26 10:30:52
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Robert P. Kurshan items may not be directly identified using only metrics collected from the source code. CVM-TD is a model to support the identification of technical debt by considering the developer point of view when identifying TD through code comment analysis. In this paper, we investigate the use of CVM-TD witoxidize 发表于 2025-3-26 21:45:47
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Robert P. Kurshanhe solution of these problems are usually known as operations recovery. The Airline Operations Control Center (AOCC) tries to solve these problems with the minimum cost and satisfying all the required rules. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) repres