sulcus
发表于 2025-3-23 11:57:50
termed as ., which combines POI data and road network data to generate the distribution of traffic flows. Our model has two novel modules: a graph reconstruction module and a POI supervised contrastive module. The graph reconstruction module includes a .-NN graph builder and a .-NN graph aggregator
observatory
发表于 2025-3-23 17:07:08
https://doi.org/10.1007/978-3-642-59504-2 propose a self-adaptive . solution with a built-in suboperator cost model that dynamically selects the best . strategy at runtime according to the data skew of the target query. We implement the solution in the commercial shared-nothing ., namely CockroachDB and empirical study justifies that the s
财产
发表于 2025-3-23 18:17:17
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Microaneurysm
发表于 2025-3-24 00:05:51
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interference
发表于 2025-3-24 04:54:38
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胰脏
发表于 2025-3-24 07:59:29
MIPM: A Multidimensional Information Perception Model for Estimating Time of Arrival on Real Road Neom Raw-ETA. After that, we design a SPETAformer block to ensure that the extract module can capture the multidimensional correlation of the above features. The recurrent module further enhances the learning ability of the MIPM in the temporal domain by week, daily, recent, and weather four different
harangue
发表于 2025-3-24 12:02:49
TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoderrelationships. We also incorporate transformer-encoder or RNN modules to enhance the ability to retain temporal dynamics for time series feature extraction. Several comparisons and ablation experiments on three multivariate time series datasets have been conducted. Our results demonstrate that TimeG
改正
发表于 2025-3-24 16:06:10
Beyond SweepLine: Efficient MaxRS Queries over Inaccurate Location Datar algorithm to address two more complex scenarios: the dynamic MaxRS (DMaxRS) query, which accounts for the varying locations of objects over time, and the MaxRS query on trajectory data (MaxRST), where each object is represented by a sequence of points, not just a singular point. Our experimental r
Dri727
发表于 2025-3-24 20:15:52
Flexible Contact Correlation Learning on Spatio-Temporal Trajectories potential contact positions using a soft selection module. The contact scores are then derived from the embeddings of the contact trajectory parts. Experiments on two real-world datasets show that ST-TCN outperforms baseline solutions and exhibits superior efficiency in terms of both running time a
diabetes
发表于 2025-3-25 02:46:26
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