Event detection in online social network: Methodologies, state-of-art, and evolution

X Hu, W Ma, C Chen, S Wen, J Zhang, Y Xiang… - Computer Science …, 2022 - Elsevier
Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

F Zeng, C Pang, H Tang - Sensors, 2024 - mdpi.com
The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …

A multimodal coupled graph attention network for joint traffic event detection and sentiment classification

Y Zhang, P Tiwari, Q Zheng, A El Saddik… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Traffic events are one of the main causes of traffic accidents, leading to traffic event detection
being a challenging research problem in traffic management and intelligent transportation …

A survey on event and subevent detection from microblog data towards crisis management

SR Chowdhury, S Basu, U Maulik - … Journal of Data Science and Analytics, 2022 - Springer
Social media data analysis is a popular research domain since the last decade. Detecting
the events and sub-events from social media posts that require special attention is one of the …

Research on expressway traffic event detection at night based on Mask-SpyNet

X Mo, C Sun, C Zhang, J Tian, Z Shao - IEEE Access, 2022 - ieeexplore.ieee.org
Expressway traffic event detection at night is essential for improving rescue efficiency and
avoiding secondary accidents. Most expressways in China have built a complete …

A deep learning-based traffic event detection from social media

J Jonnalagadda, M Hashemi - 2021 IEEE 22nd International …, 2021 - ieeexplore.ieee.org
Traffic events, such as congestion and accidents, lead to driver frustration, longer travel
times, blocked emergency vehicles, and increased fuel consumption. Timely detection of …

Research issues & state of the art challenges in event detection

MN Saadat, H Kabir, M Shuaib… - 2021 15th …, 2021 - ieeexplore.ieee.org
Event detection is a cutting-edge problem in video image processing which is not that
straight forward to solve. Hence, we perform a thorough search for state of the art in solving …

Traffic flow prediction based on depthwise separable convolution fusion network

Y Yu, W Sun, J Liu, C Zhang - Journal of Big Data, 2022 - Springer
Traffic flow prediction is an important part of an intelligent transportation system to alleviate
congestion. In practice, most small and medium-sized activities are not given priority in …