In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …

An accurate and real-time image based multi-class fruit detection system is important for
facilitating higher level smart farm tasks such as yield mapping and robotic harvesting …

The Internet of connected vehicles (IoV) is employed to collect real-time traffic conditions for
transportation control systems, and the computing tasks are available to be offloaded from …

Affective computing is an emerging area of research that aims to enable intelligent systems
to recognize, feel, infer and interpret human emotions. The widely spread online and off-line …

Human actions are often captured by multiple cameras (or sensors) to overcome the
significant variations in viewpoints, background clutter, object speed, and motion patterns in …

Abstract The Internet of Vehicles (IoV) is employed to gather real-time traffic information for
drivers, and base stations in 5G systems are used to assist in traffic data transmission. For …

Nowadays, recommender system has become one of the main tools to search for users'
interested papers. Since one paper often contains only a part of keywords that a user is …

Personal health records (PHRs) are private and vital assets for every patient. There have
been introduced many works on various aspects of managing and organizing the PHR so …