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Particle swarm optimization: A comprehensive survey
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …
in the literature. Although the original PSO has shown good optimization performance, it still …
Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
An adaptive federated learning scheme with differential privacy preserving
X Wu, Y Zhang, M Shi, P Li, R Li, NN **ong - Future Generation Computer …, 2022 - Elsevier
Driven by the upcoming development of the sixth-generation communication system (6G),
the distributed machine learning schemes represented by federated learning has shown …
the distributed machine learning schemes represented by federated learning has shown …
Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments
Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
A review of lithium-ion battery state of charge estimation based on deep learning: Directions for improvement and future trends
Y Liu, Y He, H Bian, W Guo, X Zhang - Journal of Energy Storage, 2022 - Elsevier
With the rapid growth in productivity, the need for fossil has increased, spurring research
and development of new energy sources. In the automotive industry, the development of …
and development of new energy sources. In the automotive industry, the development of …
An UAV-enabled intelligent connected transportation system with 6G communications for internet of vehicles
6G networks provide faster communication for connected vehicles. These vehicles are
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …
Fog computing advancement: Concept, architecture, applications, advantages, and open issues
Internet of Things (IoT) is proliferating in our real world, and it is a promising technology that
serves a very comfortable service to the users. IoT's underlying technology is to connect to …
serves a very comfortable service to the users. IoT's underlying technology is to connect to …
Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …
infrastructures such as wireless access points to acquire intelligent services, has been …
BeatClass: a sustainable ECG classification system in IoT-based eHealth
With the rapid development of the Internet of Things (IoT), it becomes convenient to use
mobile devices to remotely monitor the physiological signals (eg, Arrhythmia diseases) of …
mobile devices to remotely monitor the physiological signals (eg, Arrhythmia diseases) of …
Cost-driven off-loading for DNN-based applications over cloud, edge, and end devices
B Lin, Y Huang, J Zhang, J Hu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Currently, deep neural networks (DNNs) have achieved a great success in various
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …