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

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發(fā)表于 2025-3-30 11:02:18 | 只看該作者
Crossover Design on?the?Bioequivalence of?Pharmaceuticals - A Case of?Studycacy of different treatments administered to two distinct cohorts of patients: the control group and the test group. In order to compare the control group that received the reference medication, with the test/treatment group that received the investigational drug, a crossover experimental design was
52#
發(fā)表于 2025-3-30 15:19:34 | 只看該作者
Christian Karpfinger,Kurt Meyberg 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
53#
發(fā)表于 2025-3-30 19:24:19 | 只看該作者
54#
發(fā)表于 2025-3-31 00:43:49 | 只看該作者
https://doi.org/10.1007/978-3-642-80634-6nal scaffolding. That can be organized in the form of learning dialogue consisting of closed-answer questions and explanations for answers to them. However, designing Intelligent Tutoring Systems that support generating pedagogical questions is very labor-intensive. In this paper, we propose a metho
55#
發(fā)表于 2025-3-31 04:55:43 | 只看該作者
https://doi.org/10.1007/978-1-4612-6101-8 detection and classification. Over the last decade, numerous Machine Learning (ML) and Deep Learning (DL)-based techniques have been proposed to address the growth of malicious applications, focusing on utilizing features derived from dynamic malware analysis. However, these approaches are often co
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