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 … WebApr 5, 2024 · Authors: Yuxuan Liang: National University of Singapore; Kun Ouyang: National University of Singapore; Junkai Sun: JD Digits; Yiwei Wang: National University...
Fine-Grained Urban Flow Inferring via Conditional Generative ...
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 ... 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 … how to make scallops in air fryer
Fine-grained Urban Flow Prediction Junbo Zhang@JDT
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 ... 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 ... WebMar 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. mto back on track program