Results 31 to 40 of about 3,719,507 (369)
Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM [PDF]
Sensors, 2021 Visual simultaneous location and mapping (SLAM) using RGB-D cameras has been a necessary capability for intelligent mobile robots. However, when using point-cloud map representations as most RGB-D SLAM systems do, limitations in onboard compute resources, and especially communication bandwidth can significantly limit the quantity of data processed and ...
Zhang, Jincheng +4 more
openaire +3 more sources
Fairness and energy co-aware computation offloading for fog-assisted IoT
工程科学学报, 2022 As an extension of the cloud computing paradigm, fog computing has attracted wide attention due to its advantages of low energy consumption, short time delay, and high bandwidth saving.
Si-guang CHEN, Zi-hui YOU
doaj +1 more source
HPC Accelerators with 3D Memory [PDF]
, 2016 Artículo invitado, publicado en las actas del congreso por IEEE Society Press. Páginas 320 a 328. ISBN: 978-1-5090-3593-9.DOI 10.1109/CSE-EUC-DCABES-2016.203After a decade evolving in the High Performance Computing arena, GPU-equipped supercomputers have
Ujaldon-Martinez, Manuel
core +1 more source
Applied Sciences, 2019 Data mining is a set of methods used to mine hidden information from data. It mainly includes frequent pattern mining, sequential pattern mining, classification, and clustering.
Chun-Cheng Lin +5 more
doaj +1 more source
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges [PDF]
ACM Computing Surveys, 2021 Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and speech recognition, among others.
Yoshitomo Matsubara +2 more
semanticscholar +1 more source
Adaptive Federated Learning in Resource Constrained Edge Computing Systems [PDF]
IEEE Journal on Selected Areas in Communications, 2018 Emerging technologies and applications including Internet of Things, social networking, and crowd-sourcing generate large amounts of data at the network edge.
Shiqiang Wang +6 more
semanticscholar +1 more source
Federated Learning in Edge Computing: A Systematic Survey
Italian National Conference on Sensors, 2022 Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications.
Haftay Gebreslasie Abreha +2 more
semanticscholar +1 more source
An Adaptive Framework for Improving Quality of Service in Industrial Systems
IEEE Access, 2015 Limited memory bandwidth is considered as the major bottleneck in multimedia cloud computing for more and more virtual machines (VMs) of multimedia processing requiring high memory bandwidth simultaneously.
Gangyong Jia +4 more
doaj +1 more source
Joint Client Selection and Bandwidth Allocation Algorithm for Federated Learning
IEEE Transactions on Mobile Computing, 2023 In federated learning (FL), if the participating mobile devices have low computing power and poor wireless channel conditions and/or they do not have sufficient data for various classes, a long convergence time is required to achieve the desired model ...
Haneul Ko +4 more
semanticscholar +1 more source
Quantum optical signal processing in diamond
, 2015 Controlling the properties of single photons is essential for a wide array of emerging optical quantum technologies spanning quantum sensing, quantum computing, and quantum communications. Essential components for these technologies include single photon
Bustard, Philip J. +5 more
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