The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review
R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
The optimization of carbon emission prediction in low carbon energy economy under big data
J Luo, W Zhuo, S Liu, B Xu - IEEE Access, 2024 - ieeexplore.ieee.org
With the intensification of global climate change, low-carbon energy has become a hot topic,
and governments around the world are implementing corresponding policies to promote its …
and governments around the world are implementing corresponding policies to promote its …
Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems
In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
A novel approach to reduce video traffic based on understanding user demand and D2D communication in 5G networks
G Wang, J Wu, M Trik - IETE Journal of Research, 2023 - Taylor & Francis
Mobile network customers today prefer video news updates than text. However, the
conventional cellular base stations may have challenges in simultaneously managing video …
conventional cellular base stations may have challenges in simultaneously managing video …
[HTML][HTML] Heart failure patients monitoring using IoT-based remote monitoring system
Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …
technology advances. Nowadays, online services are replacing physical infrastructure in …
Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the
network, it is likely to cause severe propagation loss between the edge server and users …
network, it is likely to cause severe propagation loss between the edge server and users …
Short-term and long-term throughput maximization in mobile wireless-powered internet of things
With the evolution of Internet of Things (IoT), some IoT nodes possess a certain degree of
mobility, and the gains of the corresponding channels vary dramatically, incurring the energy …
mobility, and the gains of the corresponding channels vary dramatically, incurring the energy …
Game theoretical task offloading for profit maximization in mobile edge computing
In this paper, a novel task offloading architecture called Flex-MEC is proposed, which
achieves efficient task allocation and scheduling (TAS) between MEC servers. By adding …
achieves efficient task allocation and scheduling (TAS) between MEC servers. By adding …