In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …

With fast increase in volume of mobile multimedia data, how to apply powerful deep learning
methods to process data with real-time response becomes a major issue. Meanwhile, edge …

Floods result in substantial damage throughout the world every year. Accurate predictions of
floods can significantly alleviate casualties and property losses. However, due to the …

The wide area measurement system (WAMS) based on synchronous phasor measurement
technology plays an increasingly important role in dynamic monitoring and wide area …

As the communication mode with the greatest attention and global network coverage, the
Low Earth Orbit (LEO) satellite network has the characteristics of low propagation delay, low …

The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Floods cause substantial damage across the world every year. Accurate and timely
prediction of floods can significantly minimize the loss of life and property. Recently …

Using the powerful communication capability of 6G, various in-vehicle services in the
Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high …

The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …