Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …

Abstract Introduction: The increasingly integrated Industrial IoT (IIoT) with industrial systems
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …

The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …

Machine learning (ML) techniques have been widely used in many smart city sectors, where
a huge amount of data is gathered from various (IoT) devices. As a typical ML model …

Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …

Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …

The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

We describe a new deep learning model-Convolutional eXtreme Gradient Boosting
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …

In this digital era expectations for medical quality have increased. As the number of patients
continues to increase, conventional health care methods are having to deal with new …

Decision tree classification has become a prevailing technique for online diagnosis services.
By outsourcing computation intensive tasks to a cloud server, cloud-assisted online …