Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …

Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …

Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …

The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors
and services. These sensors are incorporated to collect various information, track physical …

Since minority samples are substantially less common than majority samples, many
industrial applications, such as credit card fraud detection (CCFD) and defective part …

Social media services such as TripAdvisor and Foursquare can provide opportunities for
users to exchange their opinions about urban green space (UGS). Visitors can exchange …

Network embedding aims to map a complex network into a low-dimensional vector space
while maximally preserving the properties of the original network. An attributed network is a …

The scenario-based test method is the research hotspot of automated vehicle (AV) validation
and verification (V&V), and testing with hazardous scenarios is of important means. An …

Predicting individual vehicles' future locations is of great significance in location-based
services. Regularity and preference are two predominant features of individual vehicles for …