Fine-grained urban ow prediction
WebIn this paper, we tackle the temporally fine-grained incident prediction problem in a sparse setting by explicitly exploiting the behind-the-scene chainlike triggering mechanism. Moreover, this chain effect roots in multiple domains (i.e. spatial, categorical), which further entangles with the temporal dimension and happens to be time-variant. WebApr 19, 2024 · Moreover, [12] applies GCN to image-based traffic prediction tasks and achieves certain results, and [25] further proposes a hierarchical graph convolution …
Fine-grained urban ow prediction
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WebThus, unlike previous works that are limited to coarse-grained data, we extend the horizon of urban flow prediction to fine granularity which raises specific challenges: 1) the predominance of inter-grid transitions observed in fine-grained data makes it more complicated to capture the spatial dependencies among grid cells at a global scale; 2 ... WebDec 13, 2024 · Mobile CrowdSensing (MCS) has recently emerged as a practical paradigm for large-scale and fine-grained urban sensing systems. To reduce sensing cost, …
WebDec 13, 2024 · Mobile CrowdSensing (MCS) has recently emerged as a practical paradigm for large-scale and fine-grained urban sensing systems. To reduce sensing cost, Sparse MCS only senses data from a few subareas instead of sensing the full map, while the other unsensed subareas could be inferred by the intradata correlations among the sensed … WebRoad Network Guided Fine-Grained Urban Traffic Flow Inference Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu and Liang Lin, Senior Member, IEEE Abstract—Accurate inference of fine-grained traffic flow from coarse-grained one is an emerging yet crucial problem, which can help greatly reduce the number of traffic monitoring sensors for cost ...
WebOct 19, 2024 · Crime risk prediction is helpful for urban safety and citizens’ life quality. However, existing crime studies focused on coarse-grained prediction, and usually … WebMar 9, 2024 · In recent years, complex multi-stage cyberattacks have become more common, for which audit log data are a good source of information for online monitoring. However, predicting cyber threat events based on audit logs remains an open research problem. This paper explores advanced persistent threat (APT) audit log information and …
WebThus, unlike previous works that are limited to coarse-grained data, we extend the horizon of urban flow prediction to fine granularity which raises specific challenges: 1) the …
WebOct 9, 2024 · Then fine grained division, searching and prediction are applied for minute-level urban water demand. The principle that FGF is effective has been proved to be valid by careful analysis. proper way to trim eyebrowsWebDec 5, 2024 · To tackle this problem, we propose a TRansformer-guided Urban Flow Magnifier (TRUFM), which adopts the vision transformer architecture [19, 20] to model the global-scale dependencies for the prediction of fine-grained traffic flow maps. We argue that the transformer module is effective in three folds: (1) The global self-attention … proper way to trailer refrigeratorWebJul 25, 2024 · Therefore, we need to design an irregular urban region division method to maintain the urban spatial integrity and fine-grained information of the divided regions. … proper way to trim beardproper way to trim a mustachehttp://urban-computing.com/pdf/WWW2024UrbanFlowPrediction.pdf proper way to trim a goateeWebFine-grained prediction of urban population is of great practical significance in many domains that require temporally and spatially detailed population information. However, … proper way to trim men\u0027s eyebrowshttp://urban-computing.com/pdf/WWW2024UrbanFlowPrediction.pdf proper way to trim carpet