This paper surveys the deep learning (DL) approaches for intrusion-detection systems
(IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps …

The design and development process for internet of things (IoT) applications is more
complicated than that for desktop, mobile, or web applications. First, IoT applications require …

IoT systems are rapidly adopted in various domains, from embedded systems to smart
homes. Despite their growing adoption and popularity, there has been no thorough study to …

With the extensive application of IoT techniques, IoT devices have become ubiquitous in
daily lives. Meanwhile, attacks against IoT devices have emerged to compromise IoT …

Internet-of-Things (IoT) and cyber-physical systems (CPSs) may consist of thousands of
devices connected in a complex network topology. The diversity and complexity of these …

Purpose This narrative review surveys the literature on the Internet of Things (IoT) in
healthcare, organising it according to dominant trends to provide instructive examples of …

Iot being a transformative approach for imparting countless services raises consequential
security flaws as well. These flaws germinate from the embedded vulnerabilities in IoT …

Many regions of the world benefit from heating, ventilating, and air-conditioning (HVAC)
systems to provide productive, comfortable, and healthy indoor environments, which are …

The abundance of data collected by sensors in Internet of Things devices and the success of
deep neural networks in uncovering hidden patterns in time series data have led to …

Advanced building control methods such as model predictive control (MPC) offer significant
benefits to both consumers and grid operators, but high computational requirements have …