sesamoiditis 发表于 2025-3-21 16:38:15
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Medicinal and Aromatic Plants of the Worldovered from event data using existing techniques for declarative process discovery. Third, we study how to monitor probabilistic constraints, where constraints and their combinations may be in multiple monitoring states at the same time, though with different probabilities.全部逛商店 发表于 2025-3-22 03:47:31
Medicinal and Aromatic Plants of the World the reference frameworks for the (parameterised) verification of data and processes. We show that fresh-value injection is a particularly complex feature to handle, and discuss strategies to tame it. Finally, we discuss how catalog-nets relate to well-known formalisms in this area.Forage饲料 发表于 2025-3-22 04:57:44
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Medicinal and Aromatic Plants of Turkeyhecking incentive alignment of process models with utility annotations for tasks, which can be used for . analysis of inter-organizational business processes. Last but not least, we show that the soundness property is a special case of incentive alignment.pacific 发表于 2025-3-22 15:30:30
Therapeutic Use of Aleppo Pine (, Mill.),es for measuring the simplicity of discovered models focus on their structural characteristics such as size or density, and ignore the behavior these models encoded. In this paper, we present a conceptual framework that can be instantiated into a concrete approach for estimating the simplicity of aGustatory 发表于 2025-3-22 20:59:10
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https://doi.org/10.1007/978-3-642-51333-6rences at certain timestamps are modeled, so the fitness of new cases is computed considering this stochastic model. We evaluate this on a real-world building permit application process, which shows its usage capabilities in industrial scenarios.conformity 发表于 2025-3-23 03:19:52
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Trees with Anticancer Activities,experimental evaluation shows that the proposed model capable of supporting interpretability also provides accurate predictions when compared to existing LSTM models for predicting process behaviour. The evaluation further shows that attention mechanisms in LSTM provide a sound approach to generate