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 …

AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z Xiao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

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 …

Algorithmic approach to virtual machine migration in cloud computing with updated SESA algorithm

A Kaur, S Kumar, D Gupta, Y Hamid, M Hamdi, A Ksibi… - Sensors, 2023 - mdpi.com
Cloud computing plays an important role in every IT sector. Many tech giants such as
Google, Microsoft, and Facebook as deploying their data centres around the world to …

Optimal cloud service provider selection: An MADM framework on correlation-based TOPSIS with interval-valued q-rung orthopair fuzzy soft set

RM Zulqarnain, H Garg, WX Ma, I Siddique - Engineering Applications of …, 2024 - Elsevier
The interaction between two factors significantly measures the results' exactness. But,
acquiring information for statistical computation is frequent, and the data obtained could be …

An optimal scheduling method in IoT-fog-cloud network using combination of Aquila optimizer and African vultures optimization

Q Liu, H Kosarirad, S Meisami, KA Alnowibet… - Processes, 2023 - mdpi.com
Today, fog and cloud computing environments can be used to further develop the Internet of
Things (IoT). In such environments, task scheduling is very efficient for executing user …

A quality-of-service-aware service composition method in the internet of things using a multi-objective fuzzy-based hybrid algorithm

M Hamzei, S Khandagh, N Jafari Navimipour - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …

An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm

T Salehnia, A Seyfollahi, S Raziani, A Noori… - Multimedia Tools and …, 2024 - Springer
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …