Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

Similar to how the smartphone and Internet have significantly changed our daily lives,
artificial intelligence (AI) applications have started to profoundly affect our everyday lives as …

Federated Learning marks a turning point in the implementation of decentralized machine
learning (especially deep learning) for wireless devices by protecting users' privacy and …

This paper demonstrates that the instrumented indentation test (IIT), together with a trained
artificial neural network (ANN), has the capability to characterize the mechanical properties …

Mobile and wearable technologies have promised significant changes to the healthcare
industry. Although cutting-edge communication and cloud-based technologies have allowed …

As an emerging class of spatial trajectory data, mobile user trajectory data can be used to
analyze individual or group behavioral characteristics, hobbies and interests. Besides, the …

During recent years, the fast proliferation of robots in people's everyday lives calls for a
profound examination of public consensus, which is the ultimate determinant of the future of …

Temporal point process (TPP) is an expressive tool for modeling the temporal pattern of
event sequences. However, discovering temporal patterns for event sequences clustering is …

Noise and missing data are intrinsic characteristics of real-world data, leading to uncertainty
that negatively affects the quality of knowledge extracted from the data. The burden imposed …

Smartwatch battery limitations are one of the biggest hurdles to their acceptability in the
consumer market. To our knowledge, despite promising studies analyzing smartwatch …