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Titlebook: Information Management and Big Data; 8th Annual Internati Juan Antonio Lossio-Ventura,Jorge Valverde-Rebaza, Conference proceedings 2022 Th

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樓主: Daidzein
21#
發(fā)表于 2025-3-25 06:33:33 | 只看該作者
re needed for efficient space travel, we encounter another problem: the force on our body due to the acceleration required to reach these higher speeds would quickly overcome us. The human body can only stand 2 or 3 g’s (g is the acceleration of gravity on Earth) over a long period of time.
22#
發(fā)表于 2025-3-25 09:33:40 | 只看該作者
Tereza Yallico Arias,Junior Fabianre needed for efficient space travel, we encounter another problem: the force on our body due to the acceleration required to reach these higher speeds would quickly overcome us. The human body can only stand 2 or 3 g’s (g is the acceleration of gravity on Earth) over a long period of time.
23#
發(fā)表于 2025-3-25 15:31:46 | 只看該作者
24#
發(fā)表于 2025-3-25 16:36:55 | 只看該作者
25#
發(fā)表于 2025-3-25 23:50:50 | 只看該作者
Calibration of?Traffic Simulations Using Simulated Annealing and?GPS Navigation Recordsty. First, additional calibration techniques can be explored. Second, available data for more general settings can be exploited. Third, our tool can be integrated as a useful resource for analysis and decision making in urban mobility studies.
26#
發(fā)表于 2025-3-26 03:58:09 | 只看該作者
27#
發(fā)表于 2025-3-26 07:46:42 | 只看該作者
Clustering Analysis for?Traffic Jam Detection for?Intelligent Transportation Systemd to detect traffic jam areas based on the geospatial data generated by public transport buses in Cusco-Perú. This clustering analysis was performed on the main streets of the city between June and August 2019. Further, an application was developed that allows to check graphically the clusters obtai
28#
發(fā)表于 2025-3-26 08:58:12 | 只看該作者
Composite Recommendations with?Heterogeneous Graphs hamburger or a brewery “has-a” beer. Therefore, our model can recommend a tuple . instead of a single item as traditional RS. As a basis, we use . to obtain node embeddings from a heterogeneous graph. We formed the heterogeneous graph using features and user-entity, user-item, and entity-item inter
29#
發(fā)表于 2025-3-26 14:07:41 | 只看該作者
30#
發(fā)表于 2025-3-26 20:44:29 | 只看該作者
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