Infinite numbers of real-world applications use Machine Learning (ML) techniques to
develop potentially the best data available for the users. Transfer learning (TL), one of the …

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 map** and robotic harvesting …

The exponential growth in computer networks and network applications worldwide has been
matched by a surge in cyberattacks. For this reason, datasets such as CSE-CIC-IDS2018 …

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

With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …

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 …

Learning how to capture long-range dependencies and restore spatial information of down-
sampled feature maps are the basis of the encoder-decoder structure networks in medical …

Convolutional neural network (CNN) has been widely exploited for simultaneous and
proportional myoelectric control due to its capability of deriving informative, representative …