Results 81 to 90 of about 1,622,314 (332)

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Deep Learning-based edge caching networks can accurately infer what to cache based on a user's historical content requests, thereby significantly relieving the burden of the backbone networks.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

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

Cache-Aided Coded Multicast for Correlated Sources

, 2016
The combination of edge caching and coded multicasting is a promising approach to improve the efficiency of content delivery over cache-aided networks.
Erkip, Elza, Hassanzadeh, Parisa, Llorca, Jaime, Tulino, Antonia   +3 more
core   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Hypergraph-Based Analysis of Clustered Cooperative Beamforming with Application to Edge Caching

, 2015
The evaluation of the performance of clustered cooperative beamforming in cellular networks generally requires the solution of complex non-convex optimization problems.
Azari, Bahar, Simeone, Osvaldo, Spagnolini, Umberto, Tulino, Antonia M.   +3 more
core   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 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