Successfully tackling many urgent challenges in socio-economically critical domains, such
as public health and sustainability, requires a deeper understanding of causal relationships …

Convolutional neural networks (CNNs) have achieved significant improvement for the task of
facial expression recognition. However, current training still suffers from the inconsistent …

Traffic sign recognition is an important part of intelligent transportation system. It uses
computer vision and traffic sign recognition technology to detect and recognize traffic signs …

The integration of rich sensory technologies into critical applications, such as gesture
recognition and building energy optimization, has highlighted the importance of intelligent …

Deep neural networks have demonstrated unprecedented success in various multimedia
applications. However, the networks created are often very complex, with large numbers of …

Advances in sensory technologies are enabling the capture of a diverse spectrum of real-
world data streams. In-creasing availability of such data, especially in the form of multi …

This study implements state-of-the-art segmentation models on the unique conflate Area-of-
Focus dataset. The goal is to accurately identify and segment a specific regions in images …

Technological advances have allowed for the assimilation of a variety of data, driving a shift
away from the use of simpler and constrained patterns to more complex and diverse patterns …