Shield machine deviation from the design tunnel axis (DTA) causes dislocation and damage
of the segments and may lead to poor tunnel quality, which is a primary concern in tunnel …

This paper introduces an intelligent framework for predicting the advancing speed during
earth pressure balance (EPB) shield tunnelling. Five artificial intelligence (AI) models based …

In light of recent exponential growth of video data, the need for automated video processing
has increased substantially. To learn the intrinsic structure of video data, many …

Extrapolation–the ability to make inferences that go beyond the scope of one's experiences–
is a hallmark of human intelligence. By contrast, the generalization exhibited by …

The utilization of renewable energy has attracted much attention with the deterioration of the
environment. Solar energy is widely distributed and has huge reserves. But, solar energy is …

The shield machine attitude (SMA) is the most important parameter in the process of tunnel
construction. To prevent the shield machine from deviating from the design axis (DTA) of the …

In spite of achieving promising results in hyperspectral image (HSI) restoration, deep-
learning-based methodologies still face the problem of spectral or spatial information loss …

Forecasting energy market volatility by artificial neural network has long been a focus of
economic research. Based on the discriminatory attitude to the historical price information, a …

When simulating the hygrothermal behaviour of a building component, there are many
inherently uncertain parameters. A probabilistic evaluation takes these uncertainties into …

Human action recognition is an emerging goal of computer vision with several applications
such as video surveillance and human-computer interaction. Despite many attempts to …