Results 51 to 60 of about 1,571,441 (262)

Caching resource management of mobile edge network based on Stackelberg game

Digital Communications and Networks, 2019
Mobile edge caching technology is gaining more and more attention because it can effectively improve the Quality of Experience (QoE) of users and reduce backhaul burden.
Qiang Li, Changlong Lu, Bin Cao, Qinyu Zhang   +3 more
doaj   +1 more source

Recommend what to cache: a simple self-supervised graph-based recommendation framework for edge caching networks

Journal of Cloud Computing: Advances, Systems and Applications, 2023
Deep Learning-based edge caching networks can accurately infer what to cache based on a user's historical content requests, thereby significantly relieving the burden of the backbone networks. However, the cold-start problem inherent in deep learning may
Aijing Sun, Guoqing Wang, Qi Han
doaj   +1 more source

Popularity-Aware Closeness Based Caching in NDN Edge Networks

Sensors, 2022
By enabling name-based routing and ubiquitous in-network caching, Named Data Networking (NDN) is a promising network architecture for sixth generation (6G) edge network infrastructures. However, the performance of content retrieval largely depends on the
Marica Amadeo, Claudia Campolo, Giuseppe Ruggeri, Antonella Molinaro   +3 more
doaj   +1 more source

Mobility-Aware Edge Caching For Connected Cars

IEEE WONS 2016, 2016
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MAHMOOD, AHSAN, CASETTI, CLAUDIO ETTORE, CHIASSERINI, Carla Fabiana, GIACCONE, PAOLO, Haerri, Jerome   +4 more
openaire   +3 more sources

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Mepylome: A Point‐of‐Care Tumor Diagnostic Toolkit for Tumor DNA Methylation and Copy Number Analysis

Advanced Intelligent Systems, EarlyView.
DNA methylation and chromosomal copy number profiling have recently become essential for tumor diagnostics. The open‐source tool Mepylome enables this task in clinical routine. It combines several machine learning strategies and allows users to interactively examine respective data through an intuitive graphical interface. Running up to 65 times faster
Jon Brugger, Claus Hultschig, Daniel Baumhoer, Baptiste Ameline, Benjamin Maciej Freyter, Stephan Frank, Jürgen Hench   +6 more
wiley   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Energy-Efficient Nonuniform Content Edge Pre-Caching to Improve Quality of Service in Fog Radio Access Networks

Sensors, 2019
The fog radio access network (F-RAN) equipped with enhanced remote radio heads (eRRHs), which can pre-store some requested files in the edge cache and support mobile edge computing (MEC). To guarantee the quality-of-service (QoS) and energy efficiency of
Yi Cen, Yigang Cen, Ke Wang, Jingcong Li
doaj   +1 more source

DCoL: Distributed Collaborative Learning for Proactive Content Caching at Edge Networks

IEEE Access, 2021
Caching popular content at the network edge, such as roadside units (RSUs), is a promising solution that enhances the user’s quality-of-experience (QoE) and reduces network traffic.
Subina Khanal, Kyi Thar, Eui-Nam Huh
doaj   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source