Urban transportation concept and sustainable urban mobility in smart cities: a review
In order to create a sustainable future for the urban environment in s= Smart cities, it is
necessary to develop a concept of urban transport, partially reduce the use of traditional …
necessary to develop a concept of urban transport, partially reduce the use of traditional …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
Social signal-driven knowledge automation: A focus on social transportation
Urban transportation systems are shaped by factors that include people, vehicles, roads,
and the environment, forming a complex and giant system with dynamics, diversity, and …
and the environment, forming a complex and giant system with dynamics, diversity, and …
LogEvent2vec: LogEvent-to-vector based anomaly detection for large-scale logs in internet of things
Log anomaly detection is an efficient method to manage modern large-scale Internet of
Things (IoT) systems. More and more works start to apply natural language processing …
Things (IoT) systems. More and more works start to apply natural language processing …
[HTML][HTML] Disaster loss calculation method of urban flood bimodal data fusion based on remote sensing and text
X Zheng, C Duan, Y Chen, R Li, Z Wu - Journal of Hydrology: Regional …, 2023 - Elsevier
Study region Major urban areas in Henan Province of central China. Study focus data fusion
technology is also a key and difficult point in the field of flood research. Remote sensing and …
technology is also a key and difficult point in the field of flood research. Remote sensing and …
ConAnomaly: Content-based anomaly detection for system logs
D Lv, N Luktarhan, Y Chen - Sensors, 2021 - mdpi.com
Enterprise systems typically produce a large number of logs to record runtime states and
important events. Log anomaly detection is efficient for business management and system …
important events. Log anomaly detection is efficient for business management and system …
Identifying secondary crashes using text mining techniques
Secondary crashes, roadway clearance time, and incident clearance time are three primary
performance measures for traffic incident management. Crash databases, which are the …
performance measures for traffic incident management. Crash databases, which are the …
Wide-grained capsule network with sentence-level feature to detect meteorological event in social network
In recent years, frequent meteorological disasters have caused great concern to people. It is
particularly important to timely detect the meteorological events and release early warning …
particularly important to timely detect the meteorological events and release early warning …
EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings
With the frequent occurrence of extreme natural phenomena, news about meteorological
disasters has increased. As a timely and effective social sensor, social networks have …
disasters has increased. As a timely and effective social sensor, social networks have …
Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace
Crowdsourcing has significantly motivated the development of meteorological services.
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …