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. 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 …
IJGI Free Full-Text Assessing the Influence of Spatio-Temporal ...
Webto 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, 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 ... dave milchak medina ohio facebook
A Fine Grained Forecasting Method for Minute-Level Urban …
WebHowever, a critical prerequisite for these benefits is having fine-grained knowledge of the city. Thus, unlike previous works that are limited to coarse-grained data, we extend 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 … 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 … dave miller clinton wi