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Titlebook: Web Information Systems and Technologies; 18th International C Massimo Marchiori,Francisco José Domínguez Mayo,Jo Conference proceedings 20

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楼主: 誓约
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,An NLP Approach to Understand the Top Ranked Higher Education Institutions’ Social Media Communicattopics. Conversely, some universities have less prominent strategies that do not align with their ranking positions. This study provides insights into the role of social media in the marketing strategies of HEIs and its impact on their global rankings.
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,Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education,del that shows how value-based learning can be applied to higher education through agile practices and agile values. This conceptual model shows how courses and modules, as well as students and lecturers, evolve through continuous feedback over the course of a semester. Moreover, it allows students
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,Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education,del that shows how value-based learning can be applied to higher education through agile practices and agile values. This conceptual model shows how courses and modules, as well as students and lecturers, evolve through continuous feedback over the course of a semester. Moreover, it allows students
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,Scaffolding Process-Aware Information Systems with the AKIP Platform,of generating fully functional process-aware web applications. To evaluate the effectiveness of the AKIP platform, a case study was conducted in the industry and six business processes automated into a process-oriented web application were analyzed in this paper. The study showed that the AKIP platf
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,Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers, citation information of academic literature data utilizing two Transformer models. The experiments were conducted using a dataset on 67 disciplines extracted from the Web of Science, one of the largest databases about academic literature, and classified papers with the top 20% of citations five yea
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,Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers, citation information of academic literature data utilizing two Transformer models. The experiments were conducted using a dataset on 67 disciplines extracted from the Web of Science, one of the largest databases about academic literature, and classified papers with the top 20% of citations five yea
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