A multi-perspective micro-analysis of popularity trend dynamics for user-generated content
With the advancements in user-generated content sites, their prominence for multimedia
information dissemination is increasing on a rapid scale. An information about which content …
information dissemination is increasing on a rapid scale. An information about which content …
[HTML][HTML] Multi-content time-series popularity prediction with multiple-model transformers in MEC networks
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved as an
efficient solution to meet the significant growth of global mobile data traffic by boosting the …
efficient solution to meet the significant growth of global mobile data traffic by boosting the …
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 …
EICache: A learning-based intelligent caching strategy in mobile edge computing
B Tang, L Kang - Peer-to-Peer Networking and Applications, 2022 - Springer
With the rapid development of 5G mobile networks, data traffic has increased dramatically
and is putting tremendous pressure on the backhaul link. In 5G-based mobile edge …
and is putting tremendous pressure on the backhaul link. In 5G-based mobile edge …
TEDGE-Caching: Transformer-based edge caching towards 6G networks
As a consequence of the COVID-19 pandemic, the demand for telecommunication for
remote learning/working and telemedicine has significantly increased. Mobile Edge Caching …
remote learning/working and telemedicine has significantly increased. Mobile Edge Caching …
Online video channel management: An integrative decision support system framework
In the current fragmented media landscape, online video is becoming an important outlet for
content dissemination. Online video channels provide content creators a way of organizing …
content dissemination. Online video channels provide content creators a way of organizing …
Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction
Social media users articulate their opinions on a broad spectrum of subjects and share their
experiences through posts comprising multiple modes of expression, leading to a notable …
experiences through posts comprising multiple modes of expression, leading to a notable …
Popularity based content caching of YouTube data in cellular networks
The rapid growth of video traffic including web-based monitoring, live streaming, video
conferencing and other forms of video constitutes the major part of global internet usage …
conferencing and other forms of video constitutes the major part of global internet usage …
Diagnosing Prostate Cancer: An Implementation of Deep Machine Learning Fusion Network in MRI Using a Transfer Learning Approach
Of all the terminal cancers that plague men, prostate cancer remains one of the most
prevalent and ubiquitous. Data shows prostate cancer is the second leading cause of cancer …
prevalent and ubiquitous. Data shows prostate cancer is the second leading cause of cancer …
A Multimodal Approach to Predict Video Popularity from a Large Streaming Service
With the popularization of video streaming services, it has become increasingly important to
discover which videos will be popular to prepare the network infrastructure. Popularity …
discover which videos will be popular to prepare the network infrastructure. Popularity …