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Titlebook: Computational Science and Its Applications – ICCSA 2023 Workshops; Athens, Greece, July Osvaldo Gervasi,Beniamino Murgante,Carmelo M. Torr

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41#
發(fā)表于 2025-3-28 16:10:41 | 只看該作者
42#
發(fā)表于 2025-3-28 19:10:06 | 只看該作者
Integration of Copernicus Data and Services to Assess Local Aridity Conditions in the Apulian Contexistributed for human use. Nowadays, water scarcity is a major concern in many parts of the world, also in relation to the possible effects of climate change and urbanization. The aim of this study is to integrate various Copernicus and other free and open data in order to calculate the main componen
43#
發(fā)表于 2025-3-28 23:10:05 | 只看該作者
Integrated Use of Geomatic Methodologies for Monitoring an Instability Phenomenontastrophic phenomena, such as landslides and floods, always more impactful. In this frame, geomatic methodologies can provide a crucial support in properly characterizing a potentially critical instability phenomenon, both from the spatial and kinematic view. In this work, the integrate use of geoma
44#
發(fā)表于 2025-3-29 07:00:41 | 只看該作者
45#
發(fā)表于 2025-3-29 11:18:01 | 只看該作者
PGI Buon Ma Thuot Coffee in Vietnam with an unexpressed cultural potential. The study deals with the implications connected with an organizational-managerial model of the Destination, as a support tool for the decision-making process of the network construction in order to guarantee an added value in the tourist chain.
46#
發(fā)表于 2025-3-29 12:39:25 | 只看該作者
47#
發(fā)表于 2025-3-29 18:53:35 | 只看該作者
48#
發(fā)表于 2025-3-29 22:09:29 | 只看該作者
https://doi.org/10.1007/978-3-031-12676-5er, and using DDPG reinforcement learning algorithm. In the main experiments, we used the TD3 reinforcement learning algorithm. The experiments results show that higher episodic reward and learning stability can be achieved by using TD3 with the optimal noise parameters applied compared to DDPG.
49#
發(fā)表于 2025-3-30 03:00:35 | 只看該作者
Natural Language Processing Techniques for?Hate Speech Evaluation for?Brazilian Portugueseage. In this work, we propose the creation of a large-scale linguistic corpus for Brazilian Portuguese composed of publications collected from the social network Twitter. The experiments were performed by tuning a pretrained transformer model.
50#
發(fā)表于 2025-3-30 05:52:51 | 只看該作者
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