Fine-grained urban ow prediction

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August undefined, 2024

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 … WebJun 10, 2024 · Fine-grained urban crime prediction is of great significance to urban management and public safety. Previous crime prediction work has been done at a relatively coarse time granularity, which may suffer from two issues for fine-grained crime prediction. 1) The zero-inflation problem associated with fine-grained …

Fine-Grained Urban Flow Prediction - ACM Conferences

WebFine-grained-prediction. A Keras implementation of fine-grained fitting experience prediction model (SPM) from the paper: Fine-grained Fitting Experience Prediction: A 3d-slicing Attention Approach, Shan Huang, Zhi Wang, Laizhong Cui, Yong Jiang, Rui Gao, ACM Multimedia 2024. This repository also contains a pre-trained model. 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 ... roon arc multiple nat found

A Fine Grained Forecasting Method for Minute-Level Urban …

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, … 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. WebFeb 3, 2024 · Abstract. Urban green space (UGS) is an important component in the urban ecosystem and has great significance to the urban ecological environment. Although the development of remote sensing platforms and deep learning technologies have provided opportunities for UGS mapping from high-resolution images (HRIs), challenges still exist … roon and hans

Fine-Grained Urban Flow Prediction via a Spatio …

Road Network Guided Fine-Grained Urban Trafﬁc Flow …

WebJul 25, 2024 · (2) Urban region aggregation: The result obtained by the above urban division method contains many fine-grained irregular areas. Most of them are too small to study urban-scale crowd movement. Therefore, we use the K-means ++ clustering algorithm [38], [39] to cluster the centroid coordinates of low-level regions. First, the centroids of all … http://urban-computing.com/pdf/WWW2024UrbanFlowPrediction.pdf roomzzz princess street manchesterWebApr 10, 2024 · Chen, J. et al. Fine-grained prediction of urban population using mobile phone location data. Int. J. Geogr. Inf. Sci. 32(9), 1770–1786 (2024). Article Google Scholar roon and innuos

"WebFeb 10, 2024 · To sufficiently obtain fine-grained data, an intelligent urban system requires many sensing devices to cover the entire urban landform, which simultaneously imposes significant O &M (operation and maintenance) overhead and becomes a prohibitive factor for the global intelligence without prompt resource alignment strategies and proper allocation ... " - Fine-grained urban ow prediction

Fine-grained urban ow prediction

IJGI Free Full-Text Assessing the Influence of Spatio-Temporal ...

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 … 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.

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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 … WebDec 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 …

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 … WebFine-grained prediction of urban population is of great practical significance in many domains that require temporally and spatially detailed population information. However, …

WebJul 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. 2. How to depict crowd flows with trajectory data? Prior work mainly counted the total inflow and outflow in a region, which is not suitable for the prediction of fine-grained crowd ... http://urban-computing.com/pdf/WWW2024UrbanFlowPrediction.pdf

WebUrban flow prediction benefits smart cities in many aspects, such as traffic management and risk assessment. However, a critical prereq-uisite for these benefits is having fine …

WebSep 28, 2024 · Crime prediction using various urban sensing data provides a promising paradigm to cope with this challenging problem. However, previous studies on crime … roon and heosWebMar 25, 2024 · As shown in Fig. 1, the 167 townships of Guangzhou were used as urban units in this study for fine-grained intra-urban dengue predictions.According to statistics, approximately 20% of townships have areas of less than 2 km 2, and 37% have less than 5 km 2.The prediction units in this study are much smaller than those in the existing studies. roon arknightsWebJul 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. … roon auf synologyWebApr 5, 2024 · Authors: Yuxuan Liang: National University of Singapore; Kun Ouyang: National University of Singapore; Junkai Sun: JD Digits; Yiwei Wang: National University... roon book clubWebto extract temporal features for tra c prediction. In 2024, Sun et al. [34] divided the urban area into di erent irregular regions by road network and viewed each region as a node that is associated with time-varying in ow and out ow. Auto-ST [22] designs a novel search space tailored for the spatio-temporal domain, roomzzz aparthotel manchester cityWebFeb 6, 2024 · The ne-grained urban ow monitoring system is a crucial com- ponent of the information infrastructure system in smart cities, which lays the foundation for urban planning and various appli- roon auf synology installierenWebApr 19, 2024 · Moreover, [12] applies GCN to image-based traffic prediction tasks and achieves certain results, and [25] further proposes a hierarchical graph convolution … roon change core