Abstract As the Internet of Things (IoT) becomes more and more intelligent, a new computing
paradigm, predictive intelligence is incorporated into many IoT applications. The devices of …

Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique
sensor data creating countless opportunities for deep learning tasks. We propose …

By studying the causality contained in financial texts, we can further reveal more potential
laws of economic activities, such as “factors promoting stable and healthy economic …

Purpose This study was based on situated learning, by combining mobile learning and
augmented reality, so that students could not only access information content in a real …

Purpose The research goal is to understand what factors affect users' knowledge and
information learning and sharing on social media platforms. This study focuses on the …

The application of digital technology in teaching has triggered the evolution of traditional
teaching. Students have different corresponding relationships under digital behavior. The …

In the multi-access edge computing environment, app vendors deploy their services and
applications at the network edges, and edge users offload their computation tasks to edge …

Practical skill-based education requires exemplary face-to-face operational teaching, and
VR can enhance online distance learning, facilitating an alternative form of “face-to-face” …

This paper aims to predict the apps a user will open on her mobile device next. Such an
information is essential for many smartphone operations, eg, app pre-loading and content …

The purpose of this study is to report on the industry's perspectives and opinions on cross‐
platform mobile development, with an emphasis on the popularity, adoption, and arising …