AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
Edge and fog computing for IoT: A survey on current research activities & future directions
Abstract The Internet of Things (IoT) allows communication between devices, things, and
any digital assets that send and receive data over a network without requiring interaction …
any digital assets that send and receive data over a network without requiring interaction …
[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …
knowledge exchange in numerous industries. The opportunities include patient …
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
The history of human development has proven that medical and healthcare applications for
humanity always are the main driving force behind the development of science and …
humanity always are the main driving force behind the development of science and …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …
network with low latency and high-access bandwidth to support a diverse range of IoT …
[HTML][HTML] FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge–Fog–Cloud computing environments
Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …
learning, a promising technique for creating reliable and robust statistical models. By …
Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies
Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …
(IoT) network. It still is and continues to be the best practice for implementing complex …
Hardware-assisted machine learning in resource-constrained IoT environments for security: review and future prospective
G Kornaros - IEEE Access, 2022 - ieeexplore.ieee.org
As the Internet of Things (IoT) technology advances, billions of multidisciplinary smart
devices act in concert, rarely requiring human intervention, posing significant challenges in …
devices act in concert, rarely requiring human intervention, posing significant challenges in …