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Vit-cat: Parallel vision transformers with cross attention fusion for popularity prediction in mec networks
Z HajiAkhondi-Meybodi, A Mohammadi… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Generation (6G) of
wireless networks with the promise to significantly reduce users' latency via offering storage …
wireless networks with the promise to significantly reduce users' latency via offering storage …
CLSA: Contrastive-Learning-Based Survival Analysis for Popularity Prediction in MEC Networks
Z Hajiakhondi-Meybodi, A Mohammadi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Mobile-edge caching (MEC) integrated with deep neural networks (DNNs) is an innovative
technology with significant potential for the future generation of wireless networks, resulting …
technology with significant potential for the future generation of wireless networks, resulting …
Federated online learning aided multi-objective proactive caching in heterogeneous edge networks
To address the drastic increase in multimedia traffic volume, mobile edge caching (MEC)
has been exploited to reduce redundant data transmissions by equip** computation and …
has been exploited to reduce redundant data transmissions by equip** computation and …
Cross attention-based fusion of deep and radiomics features for lung nodule invasiveness prediction
This paper presents an attention-based fusion algorithm that effectively combines two
distinct sets of features obtained from chest Computed Tomography (CT) images to predict …
distinct sets of features obtained from chest Computed Tomography (CT) images to predict …
CoPo: Self-supervised contrastive learning for popularity prediction in MEC networks
Mobile Edge Caching (MEC) technology aims to provide high-quality multimedia content to
mobile users by bringing storage and computation resources closer to the edge of the …
mobile users by bringing storage and computation resources closer to the edge of the …
Optimization and imputation of acoustic absorption sequence prediction for transversely isotropic porous materials: A MultiScaleCNN-Transformer-PSO model …
L Diao, M Tao, F Feng - Measurement, 2025 - Elsevier
To address the limitations of traditional methods in real-time prediction and adaptive
optimization of sound absorption coefficients for transversely isotropic porous materials. This …
optimization of sound absorption coefficients for transversely isotropic porous materials. This …
Temporal Dual-Attention Graph Network for Popularity Prediction in MEC Networks
G Kianfar, Z Hajiakhondi-Meybodi… - 2024 IEEE 10th World …, 2024 - ieeexplore.ieee.org
Mobile Edge Caching (MEC) emerges as a key technology in communication networks to
minimize latency in handling user requests for high-demand, data-intensive services. Given …
minimize latency in handling user requests for high-demand, data-intensive services. Given …
VGCas: distinguishing the cascade structure and the global structure in popularity prediction
Online social platforms like Twitter, Weibo, and Facebook have developed rapidly in recent
years. These platforms offer people more opportunities to exchange information …
years. These platforms offer people more opportunities to exchange information …
Adopting Deep Reinforcement Learning in Edge Caching Strategy
The increasing demand for digital content is putting a strain on network infrastructures,
prompting a shift towards edge server architecture, which aims to decentralize data …
prompting a shift towards edge server architecture, which aims to decentralize data …
Exploring Multimedia Movement Through Spatio-Temporal Indexing and Double-Cache Schemes.
QIN Zhen, L ZHANG - International Journal of Advanced …, 2024 - search.ebscohost.com
Conventional IP/TCP designs encounter several safety and scalability concerns with the
growing demand for application services. A novel Internet design, like a Content Center …
growing demand for application services. A novel Internet design, like a Content Center …