Results 61 to 70 of about 1,571,441 (262)

Explicit Content Caching at Mobile Edge Networks with Cross-Layer Sensing

Sensors, 2018
The deployment density and computational power of small base stations (BSs) are expected to increase significantly in the next generation mobile communication networks.
Lingyu Chen, Youxing Su, Wenbin Luo, Xuemin Hong, Jianghong Shi   +4 more
doaj   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

QoE-Traffic Optimization Through Collaborative Edge Caching in Adaptive Mobile Video Streaming

IEEE Access, 2018
Multi-access edge computing has been proposed as a promising approach to localize the access of mobile clients to the network edges, therefore, reducing significantly the traffic congestion on the backhaul network.
Abbas Mehrabi, Matti Siekkinen, Antti Yla-Jaaski   +2 more
doaj   +1 more source

Under the Shade of a Coolabah Tree: A Second Cache of Tulas From the Boulia District, Western Queensland

Archaeology in Oceania, EarlyView.
ABSTRACT This paper reports on the excavation of a cache of stone artefacts, buried on the bank of a waterhole or ‘billabong’ in central western Queensland. This is an extremely rare find, and yet it is the second such site to be reported within less than a 10 km radius.
Yinika L. Perston, Lynley A. Wallis, Heather Burke, Lorna Bogdanek, Trevina Rogers, Justine Kemp   +5 more
wiley   +1 more source

Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

IEEE Internet of Things Journal, 2020
Edge caching is an emerging technology for addressing massive content access in mobile networks to support rapidly growing Internet-of-Things (IoT) services and applications.
Xiaofei Wang, Chenyang Wang, Xiuhua Li, V. Leung, T. Taleb   +4 more
semanticscholar   +1 more source

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

International Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari, Ricardo de Souza, Admilson T. Franco   +2 more
wiley   +1 more source

Assessing the Energy Consumption of Proactive Mobile Edge Caching in Wireless Networks

IEEE Access, 2019
Multiaccess edge computing and caching (MEC) is regarded as one of the key technologies of fifth-generation (5G) radio access networks. By bringing computing and storage resources closer to the end users, MEC could help to reduce network congestion and ...
Ming Yan, Chien Aun Chan, Wenwen Li, Ling Lei, Andre F. Gygax, Chih-Lin I   +5 more
doaj   +1 more source

Hybrid Cooperative Cache Based on Temporal Convolutional Networks in Vehicular Edge Network

Sensors, 2023
With the continuous development of intelligent vehicles, people’s demand for services has also rapidly increased, leading to a sharp increase in wireless network traffic.
Honghai Wu, Jichong Jin, Huahong Ma, Ling Xing   +3 more
doaj   +1 more source

CACHE-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios

Ad hoc networks
The Cloud-to ...
Ivan D. Zyrianoff, Lorenzo Gigli, Federico Montori, L. Sciullo, C. Kamienski, M. D. Felice   +5 more
semanticscholar   +1 more source

Caching at the Edge with LT Codes

2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018
We study the performance of caching schemes based on LT under peeling (iterative) decoding algorithm. We assume that users ask for downloading content to multiple cache-aided transmitters. Transmitters are connected through a backhaul link to a master node while no direct link exists between users and the master node.
Recayte, Estefania, Lázaro Blasco, Francisco, Liva, Gianluigi   +2 more
openaire   +3 more sources