Abstract Mobile Edge Computing (MEC) provides a new opportunity to reduce the latency of
IoT applications significantly. It does so by offloading computation-intensive tasks in …

Prediction problems are difficult to be carried out in a dynamic environment, for two key
questions: one is how to monitor environmental changes, the other is how to make respond …

With the development of smart Internet of Things (IoT), it has seen a surge in wireless
devices deploying Deep Neural Network (DNN) models for real-time computing tasks …

Most research efforts on image classification so far have been focused on medium-scale
datasets. In addition, there exist other problems, such as difficulty in feature extraction and …

Business simulation games (BSGs) have been widely used in entrepreneurship education
with positive effects. However, there are still some deficiencies in the BSGs, such as limited …

In machine learning, model compression is vital for resource-constrained Internet of Things
(IoT) devices, such as unmanned aerial vehicles (UAVs) and smart phones. Currently there …

A healthcare system virtual team of IoT is a group of dispersed workers with distinct skills
who focus on a specific goal on a temporary or ongoing basis while working in distributed …

Multi-objective optimisation problem in Internet of Things technology has been widely
concerned by researchers. The family of multi-objective particle swarm optimisation is …

Maintaining a good learning sitting posture is crucial for the growth and development of
teenagers. According to statistical data, students spend around 7 h of their day studying, and …

Internet of Things (IoT)-based mobile crowdsensing system has been increasingly widely
deployed in data-driven smart city construction for its high efficiency, participation and …