Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

The complexity of threats in the ever-changing environment of modern industry is constantly
increasing. At the same time, traditional security systems fail to detect serious threats of …

Taxi flow forecast is significant for planning transportation and allocating basic transportation
resources. The flow forecast in the urban adjacent area is different from the fixed-point flow …

Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with
the potential to revolutionize transportation. The rise of self-driving cars has driven …

Timely and accurate air quality forecasting is of great significance for prevention and
mitigation of air pollution. However, most of the previous forecasting models only considered …

Tunnel boring machines are widely used to construct underground rail networks in urban
areas. However, ground settlement due to complex geological conditions is an ever-present …

Inefficiencies in the management of earthmoving equipment greatly contribute to the
productivity gap of infrastructure projects. This paper develops and tests a Deep Neural …

Recent technological advancements, like big data analytics, is driving the growing adoption
of cyber-physical systems and digital twins in the area of healthcare. Congenital …

Artificial intelligence (AI) approaches, such as deep learning models, are increasingly used
to determine risks in construction. However, the black-box nature of AI models makes their …

Companies aim to offer customized treatments, intelligent care, and a seamless experience
to their customers. Interactions between a company and its customers largely depend on the …