2026-06-01T01:23:33Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/353272026-02-03T10:58:47Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Durán-Muñoz, Francisco Javier author Pozas, Nicolás author Rocha, Camilo author 2024 A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource prediction strategy based on deep learning. A timed and probabilistic rewrite theory specification formalizes the semantics of business processes. It is integrated with an external oracle in the form of a long short-term memory neural network that can be queried to predict how traces of the process may advance within a time frame. Comparison of execution time and resource occupancy under different parameters is included for several case studies, as well as details on the construction of the deep learning model and its integration with Maude. Francisco Durán, Nicolás Pozas, Camilo Rocha: Business processes resource management using rewriting logic and deep-learning-based predictive monitoring. J. Log. Algebraic Methods Program. 136: 100928 (2024) https://hdl.handle.net/10630/35327 10.1016/j.jlamp.2023.100928 Logística empresarial Planificación estratégica Business processes resource management using rewriting logic and deep-learning-based predictive monitoring