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Titlebook: Web and Wireless Geographical Information Systems; 18th International S Sergio Di Martino,Zhixiang Fang,Ki-Joune Li Conference proceedings

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41#
發(fā)表于 2025-3-28 18:18:54 | 只看該作者
The Integration of OGC SensorThings API and OGC CityGML via Semantic Web Technologyions. While 3D city models, Internet of Things (IoT), and domain models are essential components of smart cities, the integration of IoT resources and 3D city models is a central information backbone for smart city cyber-infrastructures. However, we argue that most of the existing solutions integrat
42#
發(fā)表于 2025-3-28 18:57:59 | 只看該作者
43#
發(fā)表于 2025-3-29 01:16:17 | 只看該作者
Location Optimization of Urban Emergency Medical Service Stations: A Hierarchical Multi-objective Moreceiving special attention. This paper presents a novel hierarchical multi-objective optimization model that considers the goal of providing effectiveness equal service for all citizens firstly, reducing the total travel cost of emergency medical service missions and the number of overall stations
44#
發(fā)表于 2025-3-29 06:44:00 | 只看該作者
Understanding Multilingual Correlation of Geo-Tagged Tweets for POI Recommendationies have different behavioral activities and speak different languages. According to psychographic analysis, for example, people who visit other countries are interested in eating the food of their home country. For this, we aim to clarify psychographic preferences for user behaviors by analyzing ge
45#
發(fā)表于 2025-3-29 08:27:18 | 只看該作者
46#
發(fā)表于 2025-3-29 11:41:00 | 只看該作者
47#
發(fā)表于 2025-3-29 16:31:55 | 只看該作者
48#
發(fā)表于 2025-3-29 20:54:52 | 只看該作者
Comparison of Buildings Extraction Algorithms Based on Small UAV Aerial Imagessis methods of object-oriented and pixel-oriented methods, respectively, were used to extract the building of the study area. It results show that the object-oriented method can effectively remove the impact of salt and pepper noise on classification and ensure the integrity of the shapes of the bui
49#
發(fā)表于 2025-3-30 03:51:08 | 只看該作者
A Social-Spatial Data Approach for Analyzing the Migrant Caravan Phenomenon this paper is to explore the social spatial-temporal trends that emerge from this migrant caravan phenomenon, and based on a combination of social media and newspaper opinions and reports, together with additional socio-economic data. The framework combines text data mining, text clustering, sentim
50#
發(fā)表于 2025-3-30 04:34:07 | 只看該作者
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