Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …

Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …

This paper summarizes a panel discussion at the 15th International Conference on Business
Process Management. The panel discussed to what extent the emergence of recent …

Over the last few years, communication latency has been a major hurdle for most of the
applications deployed in different network domains. During this era, a number of …

This study presents an approach to lane detection involving the prediction of binary
segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary …

Visual information, captured for example by cameras, can effectively reflect the sizes and
locations of the environmental scattering objects, and thereby can be used to infer …

Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …

Depth estimation is a challenging task of 3D reconstruction to enhance the accuracy sensing
of environment awareness. This work brings a new solution with improvements, which …

Deep learning (DL) based software systems are difficult to develop and maintain in industrial
settings due to several challenges. Data management is one of the most prominent …

This paper investigates the roles of product intelligence, change seeking, and behavioral
control in determining consumers' intention to use Artificial Intelligence-based self-driving …