[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions

SF Ahmed, MSB Alam, S Afrin, SJ Rafa, N Rafa… - Information …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …

[HTML][HTML] A survey on IoT-edge-cloud continuum systems: status, challenges, use cases, and open issues

P Gkonis, A Giannopoulos, P Trakadas, X Masip-Bruin… - Future Internet, 2023 - mdpi.com
The rapid growth in the number of interconnected devices on the Internet (referred to as the
Internet of Things—IoT), along with the huge volume of data that are exchanged and …

[HTML][HTML] A brief review on flexible electronics for IoT: Solutions for sustainability and new perspectives for designers

G Scandurra, A Arena, C Ciofi - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is gaining more and more popularity and it is establishing itself in
all areas, from industry to everyday life. Given its pervasiveness and considering the …

Healthcare 5.0: In the perspective of consumer internet-of-things-based fog/cloud computing

HR Chi, M de Fátima Domingues, H Zhu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Nowadays, our society has been experiencing the development of Healthcare 4.0, focusing
on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT) …

[HTML][HTML] Smart and collaborative industrial IoT: A federated learning and data space approach

B Farahani, AK Monsefi - Digital Communications and Networks, 2023 - Elsevier
Industry 4.0 has become a reality by fusing the Industrial Internet of Things (IIoT) and
Artificial Intelligence (AI), providing huge opportunities in the way manufacturing companies …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

AI-driven environmental health disease modeling: a review of techniques and their impact on public health in the USA and African contexts

NC Ohalete, O Ayo-Farai, TO Olorunsogo… - International Medical …, 2024 - fepbl.com
This scholarly paper embarks on an exploratory journey into the realm of AI-driven
environmental health disease modeling, with a keen focus on its implications in the diverse …

[HTML][HTML] EdgeMap: an optimized mapping toolchain for spiking neural network in edge computing

J Xue, L Xie, F Chen, L Wu, Q Tian, Y Zhou, R Ying… - Sensors, 2023 - mdpi.com
Spiking neural networks (SNNs) have attracted considerable attention as third-generation
artificial neural networks, known for their powerful, intelligent features and energy-efficiency …

Mobile edge fog, Blockchain Networking and Computing-A survey

R Salama, F Al-Turjman, S Bhatla… - … and Networking (CICTN …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) and blockchain technology are two rapidly evolving areas in
computer science that have the potential to significantly impact the design and operation of …

Federated learning meets blockchain in decentralized data-sharing: Healthcare use case

SH Alsamhi, R Myrzashova, A Hawbani… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In the era of data-driven healthcare, the amalgamation of blockchain and federated learning
(FL) introduces a paradigm shift toward secure, collaborative, and patient-centric data …