A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
A Shakarami, M Ghobaei-Arani, A Shahidinejad - Computer Networks, 2020 - Elsevier
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
IoT based smart parking system using deep long short memory network
Traffic congestion is one of the most notable urban transport problems, as it causes high
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
[HTML][HTML] Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …
context of climate change, which is causing the destabilization of agricultural practices and …
Factors influencing the adoption of IoT for E-learning in higher educational institutes in developing countries
The internet of things (IoT) is an emerging paradigm of educational applications and
innovative technology in the current era. While capabilities are increasing day by day, there …
innovative technology in the current era. While capabilities are increasing day by day, there …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
IoT-enabled water distribution systems—A comparative technological review
Water distribution systems are one of the critical infrastructures and major assets of the water
utility in a nation. The infrastructure of the distribution systems consists of resources …
utility in a nation. The infrastructure of the distribution systems consists of resources …
Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network
S Liu, Z Ji, Y Wang, Z Zhang, Z Xu, C Kan… - Computer Communications, 2021 - Elsevier
The fast and efficient fault diagnosis is the key to guarantee uninterrupted working of
facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data …
facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data …
Machine learning-based computation offloading in edge and fog: a systematic review
S Taheri-abed, AM Eftekhari Moghadam… - Cluster Computing, 2023 - Springer
Abstract Today, Mobile Cloud Computing (MCC) alone can no longer respond to the
increasing volume of data and satisfy the necessary delays in real-time applications. In …
increasing volume of data and satisfy the necessary delays in real-time applications. In …
Reinforcement learning based connectivity restoration in wireless sensor networks
Connectivity is a critical prerequisite for the effective operation of data gathering and
forwarding procedures in Wireless Sensor Networks (WSNs). Failure of several sensor …
forwarding procedures in Wireless Sensor Networks (WSNs). Failure of several sensor …