Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …

Water quality control and management in water resources are important for providing clean
and safe water to the public. Due to their large area, collection, analysis, and management …

Numerous sensors have been deployed in different geospatial locations to continuously and
cooperatively monitor the surrounding environment, such as the air quality. These sensors …

The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …

In this paper, a method has been proposed for enhancement of underwater images
commonly suffering from low contrast and degraded shading quality. The entirety of the …

Conventional copy-move forgery detection methods mostly make use of hand-crafted
features to conduct feature extraction and patch matching. However, the discriminative …

There is an underlying cascading behavior over road networks. Traffic cascading patterns
are of great importance to easing traffic and improving urban planning. However, what we …

This paper presents a hybrid krill herd (CSKH) approach to solve structural optimization
problems. CSKH improved the Krill herd algorithm (KH) by combining KU/KA operator …

With the development of e-commerce, shopping on-line is becoming more and more
popular. The explosion of reviews have led to a serious problem, information overloading …

In this paper, a hybrid approach, which combines back propagation neural network (BPNN),
generalized regression neural network (GRNN) and particle swarm optimization (PSO), is …