At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
A bacterial foraging based smart offloading for IoT sensors in edge computing
The main aim of edge computing is to facilitate the low power computational IoT sensors in
processing heavy tasks. Sensors should be enough efficient to offload the required task and …
processing heavy tasks. Sensors should be enough efficient to offload the required task and …
Latency-aware task scheduling for IoT applications based on artificial intelligence with partitioning in small-scale fog computing environments
JB Lim - Sensors, 2022 - mdpi.com
The Internet of Things applications have become popular because of their lightweight nature
and usefulness, which require low latency and response time. Hence, Internet of Things …
and usefulness, which require low latency and response time. Hence, Internet of Things …
[PDF][PDF] Optimal Resource Allocation and Task Scheduling in Fog Computing for Internet of Medical Things Applications
Fog computing evolved in 2012 and extended conventional cloud computing services to the
Internet of Things (IoT) applications. Real-time applications require fast response to satisfy …
Internet of Things (IoT) applications. Real-time applications require fast response to satisfy …
Neural Network-Based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach
With the unprecedented scalability issues rising in vehicular edge computing (VEC), we
argue in this paper that the scalability, along with the remarkable growth of demands for …
argue in this paper that the scalability, along with the remarkable growth of demands for …
[HTML][HTML] A survey of key issues in edge intelligent computing under cloud-edge-terminal architecture: Computing optimization and computing offloading
YM Dong, J Zhang, CZ **e, ZY Li - Journal of Electronics & Information …, 2024 - jeit.ac.cn
With the rapid increase in the number of network access devices and the volume of network
access data currently, the shortcomings of the centralized computing architecture …
access data currently, the shortcomings of the centralized computing architecture …
FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey
In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …
A Deep learning-based rainfall prediction for flood management
Accurate prediction of rainfall remained a center of attraction for researchers and industries.
Its importance remained significant because of its effectiveness, as heavy and irregular …
Its importance remained significant because of its effectiveness, as heavy and irregular …
Artificial Intelligence for Cybersecurity: Offensive Tactics, Mitigation Techniques and Future Directions
Cybersecurity has benefitted from Artificial Intelligence (AI) technologies for attack detection.
However, recent advances in AI techniques, in tandem with their misuse, have outpaced …
However, recent advances in AI techniques, in tandem with their misuse, have outpaced …