This article addresses the problem of an accurate and interpretable intrusion detection in
Internet of Things (IoT) systems using the knowledge-discovery data-mining/machine …

Ambient intelligence refers to the combination of pervasive ubiquitous computing, big data
and artificial frameworks, IoT, sensor networks, and human‐computer interaction (HCI) …

The growth of Internet of Things (IoT) gadgets has ushered in a new era of connectedness
and convenience, but it has also sparked worries about security flaws. Long Short-Term …

Modern society requires increasing creative talents. As an educational concept, design
thinking (DT) has been successfully applied in education to foster innovation. However …

In this day and age, area calculation and detection methods are always in need of training
data. Although, labelling objects are not volatile approaches to solve the detection problem …

Internet usage is increasing day by day all over the world and as a result, technology is also
developing to make daily life appliances as smart as possible. Millions of devices are …

Several organizations are implementing large-scale Internet of Things (IoT)-based
ecosystems, such as Industrial IoT (IIoT). Such systems are vulnerable to new threats and …

As a bridge for information interaction between people and things, and things and things, IoT
devices bring security issues and data privacy protection issues that have always been the …

Detecting malicious attacks in Industrial Internet of Things (IIoT) is crucial to minimize
downtime and financial losses. However, existing deep learning (DL) research faces …

Exponential increases in smart devices and reduced costs of sensors have increased
applications using IoT (Internet of Things). There has been an extensive analysis on the …