Titlebook: Computational Science and Its Applications – ICCSA 2024 Workshops; Hanoi, Vietnam, July Osvaldo Gervasi,Beniamino Murgante,Maria Noelia Fa

只看該作者 · 發(fā)表于 2025-3-27 03:33:11

Enhancement of Database Access Performance by Improving Data Consistency in a Non-relational Databasvely, as compared to the baseline metrics of 2914.110?ms, 26510.930?ms, and 32457.662?ms. These results demonstrate that our proposed model effectively enhances consistency in document-based NoSQL databases like MongoDB and other NoSQL database variants, including key-value, graph, and wide-column stores.

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0302-9743 onal Science and Its Applications, ICCSA 2024, held at Hanoi, Vietnam, during July 1–4, 2024...The 281 full papers, 17 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 450 submissions...In addition, the conference consisted of 55 wor

只看該作者 · 發(fā)表于 2025-3-27 18:22:31

Conference proceedings 2024ce and Its Applications, ICCSA 2024, held at Hanoi, Vietnam, during July 1–4, 2024...The 281 full papers, 17 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 450 submissions...In addition, the conference consisted of 55 workshops, fo

只看該作者 · 發(fā)表于 2025-3-27 23:59:16

Community Resilience Analysis for the Formulation of a Seismic Mitigation Strategy at Inter-municipa concepts is extremely complex. In the study of seismic risk, applications are highly multidisciplinary. Consequently, they are often incomplete or partial. Although new rigorous mathematical models have been developed, most applications are extremely complicated and susceptible to the input data an

只看該作者 · 發(fā)表于 2025-3-28 04:10:46

Exploring the?Navigation Patterns of?Learners on?an?Educational Recommender System quite a challenging task to measure and model how learning actually takes place, the main contribution of this paper is to provide insights into the learning processes of learners based on interaction data. Various types of factors about learners such as prior knowledge level, motivation level, and

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