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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 …
Placement of microservices-based iot applications in fog computing: A taxonomy and future directions
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …
[HTML][HTML] Metaverse for cultural heritages
The metaverse has gained popularity recently in many areas including social media,
healthcare, education and manufacturing. This work explores the use of the metaverse …
healthcare, education and manufacturing. This work explores the use of the metaverse …
The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review
Z Amiri, A Heidari, M Zavvar… - Transactions on …, 2024 - Wiley Online Library
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
Load balancing using artificial intelligence for cloud-enabled internet of everything in healthcare domain
The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet
of Everything (IoE) is a result of the rapid growth of information and communication …
of Everything (IoE) is a result of the rapid growth of information and communication …
Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
With the advancement of the 5G networks, edge computing (EC) assisted Internet of Things
(IoT) based applications demand real-time computation and high-volume data-intensive …
(IoT) based applications demand real-time computation and high-volume data-intensive …
[HTML][HTML] A novel modified artificial rabbit optimization for stochastic energy management of a grid-connected microgrid: A case study in China
The energy management (EM) solution of the microgrids (MGs) is a crucial task to attain
most economic, reliable and sustainable operation state of the MGs. This paper aims to …
most economic, reliable and sustainable operation state of the MGs. This paper aims to …
Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach
With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images
Feature selection (FS) is crucial to transforming high-dimensional data into low-dimensional
data. The FS approach selects influential traits and ignores the rest. This approach improves …
data. The FS approach selects influential traits and ignores the rest. This approach improves …
An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment
Abstract The Internet of Things (IoT) is constantly evolving. The variety of IoT applications
has caused new demands to emerge on users' part and competition between computing …
has caused new demands to emerge on users' part and competition between computing …