Auswahl der wissenschaftlichen Literatur zum Thema „Ecosystemic Hypergraph“

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Zeitschriftenartikel zum Thema "Ecosystemic Hypergraph"

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Chang, Yuan, Xinguo Ming, Xianyu Zhang, and Yuguang Bao. "Modularization Design for Smart Industrial Service Ecosystem: A Framework Based on the Smart Industrial Service Identification Blueprint and Hypergraph Clustering." Sustainability 15, no. 11 (2023): 8858. http://dx.doi.org/10.3390/su15118858.

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Compared with the conventional industrial product–service system, the smart industrial service ecosystem (SISE) mentioned in this study contains more service activity according to the characteristics of the industrial context, participation of various stakeholders and smart interconnected technologies. This study proposes a detailed modularization design framework for SISE, which can be referenced in various industrial contexts. Firstly, the context-based smart industrial service identification blueprint (SISIB) is proposed to describe the operation model of SISE and identify the service compo
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Lungeanu, Alina, Dorothy R. Carter, Leslie A. DeChurch, and Noshir S. Contractor. "How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach." Communication Methods and Measures 12, no. 2-3 (2018): 174–98. http://dx.doi.org/10.1080/19312458.2018.1430756.

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Mouna, Mustapha, Ladjel Bellatreche, and Narhimene Boustia. "ProRes: Proactive re-selection of materialized views." Computer Science and Information Systems, no. 00 (2022): 3. http://dx.doi.org/10.2298/csis210606003m.

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Materialized View Selection is one of the most studied problems in the database field, covering SQL and NoSQL technologies as well as different deployment infrastructures (centralized, parallel, cloud). This problem has become more complex with the arrival of data warehouses, being coupled with the physical de sign phase that aims at optimizing query performance. Selecting the best set of materialized views to optimize query performance is a challenging task. Given their importance and the complexity of their selection, several research efforts both from academia and industry have been conduct
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Vainshtein, J. V., R. V. Esin, and G. M. Tsibulsky. "Learning Content Model: from Concept Structuring to Adaptive Learning." Open Education 25, no. 1 (2021): 28–39. http://dx.doi.org/10.21686/1818-4243-2021-1-4-28-39.

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The aim of the study. In modern conditions of changing the global “educational landscape”, the leading trend in building a new educational process management system is the personalization of the educational process in the electronic environment. New pedagogical technologies and innovative forms of organizing personalized learning in the electronic environment are developing, one of which is adaptive learning. The development of the structure and content of adaptive e-learning courses, the design and implementation of an educational strategy, teaching methods, and approaches to assessing result
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Yin, Zikai, Tong Xu, Ziwei Zhao, Aakas Zhiyuli, Xueying Li, and Enhong Chen. "Competition Analysis on Enterprise Ecosystems via Multiview Relational Hypergraph Embedding." IEEE Transactions on Computational Social Systems, 2023, 1–12. http://dx.doi.org/10.1109/tcss.2023.3250242.

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Mohammed, Siraj, Fekade Getahun, and Richard Chbeir. "Semantic event relationships identification and representation using HyperGraph in multimedia digital ecosystem." Journal of Intelligent Information Systems, August 3, 2022. http://dx.doi.org/10.1007/s10844-022-00732-6.

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Erwin, Douglas H. "Macroevolutionary dynamics of ecosystem‐engineering and niche construction." Palaeontology 67, no. 4 (2024). http://dx.doi.org/10.1111/pala.12718.

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AbstractThat the activities of organisms influence their surrounding ecological communities, and the environment, has long been appreciated by palaeontologists, as has the role of these activities on both ecological and evolutionary processes. Spillover effects extend the range of ecosystem‐engineering through ecological networks, generating network effects that because of their non‐trophic nature can be challenging to track. Moreover, the cumulative effect of organismal activities can persist far beyond the lifespan of individual organisms, producing ecological inheritances that influence mac
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Dissertationen zum Thema "Ecosystemic Hypergraph"

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Aguirre-Samboní, Giann Karlo. "Ecosystem Causal Analysis Using Petri Net Unfoldings." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG105.

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De nombreux problèmes de vérification des systèmes concurrents ont été traités avec succès par diverses méthodes au fil des ans, en particulier les dépliages de réseaux de Petri. Cependant, les questions de comportement et de stabilisation à long terme ont reçu relativement peu d'attention. Par exemple, les caractéristiques cruciales de la dynamique à long terme des écosystèmes, telles que les bassins d'attraction et les points de basculement, restent difficiles à identifier et à quantifier avec une bonne couverture. L'une des principales raisons en est l'accent mis, dans la modélisation écolo
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