A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
Cybersecurity of industrial cyber-physical systems: A review
Industrial cyber-physical systems (ICPSs) manage critical infrastructures by controlling the
processes based on the “physics” data gathered by edge sensor networks. Recent …
processes based on the “physics” data gathered by edge sensor networks. Recent …
[HTML][HTML] Evolving techniques in cyber threat hunting: A systematic review
In the rapidly changing cybersecurity landscape, threat hunting has become a critical
proactive defense against sophisticated cyber threats. While traditional security measures …
proactive defense against sophisticated cyber threats. While traditional security measures …
A blockchain-based decentralized, fair and authenticated information sharing scheme in zero trust internet-of-things
Internet-of-Things (IoT) are increasingly operating in the zero-trust environments where any
devices and systems may be compromised and hence untrusted. In addition, data collected …
devices and systems may be compromised and hence untrusted. In addition, data collected …
Cloud‐based fault prediction using IoT in office automation for improvisation of health of employees
The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous
scenarios promoting the pervasive presence of smart things around us through its …
scenarios promoting the pervasive presence of smart things around us through its …
Real-time data visual monitoring of triboelectric nanogenerators enabled by Deep learning
The rapid advancement of smart sensors and logic algorithms has propelled the widespread
adoption of the Internet of Things (IoT) and expedited the advent of the intelligent era. The …
adoption of the Internet of Things (IoT) and expedited the advent of the intelligent era. The …
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Applying federated learning (FL) on Internet of Things (IoT) devices is necessitated by the
large volumes of data they produce and growing concerns of data privacy. However, there …
large volumes of data they produce and growing concerns of data privacy. However, there …
A review of on-device machine learning for IoT: An energy perspective
Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …
to provide intelligence for the Internet of Things (IoT) applications such as image …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
Using machine learning for dynamic authentication in telehealth: A tutorial
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …
remote locations and at their homes via smart devices and 5G systems. Protecting the …