Results 201 to 210 of about 99,626 (241)

New Consumer Tobacco Products: Opportunities and Disadvantages of Social Networks. [PDF]

Open Respir Arch
Raboso Moreno B, Conejero Merchán M, Castellanos López L.   +2 more
europepmc   +1 more source

Reliability and quality of reflux esophagitis educational videos on TikTok and Bilibili: A cross-sectional study. [PDF]

Medicine (Baltimore)
Deng Z, Xie Y, Wang S, Huang L.
europepmc   +1 more source

Digital marketing techniques within online food retail platforms: a scoping review. [PDF]

BMC Med
Gupta A, Huggins CE, Salahshoornezhad S, Bennett R, Backholer K, Peeters A.   +5 more
europepmc   +1 more source

An Evaluation of the Popularity of Australian Native Bee Taxa and State of Knowledge of Native Bee Taxonomy Among the Bee-Interested Public. [PDF]

Insects
Prendergast K.
europepmc   +1 more source

Elevated 7-Hydroxymitragynine Levels Found in Products Misbranded as Kratom. [PDF]

J AOAC Int
Brown PN, Chan M, Zhang X, Brendler T.
europepmc   +1 more source

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Caching dynamic contents with varying popularity

2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2021
We study content caching in a cellular network consisting of a base station with a cache. New contents arrive in the network according to a Poisson process and the contents stay for exponentially distributed times. At any given time, all the contents in the network have the same popularity or request rate. Also, contents’ request rates are time-varying,
Anu Krishna, Ramya Burra, Chandramani Singh   +2 more
openaire   +1 more source

Popularity-driven content caching

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
This paper presents a novel cache replacement method — Popularity-Driven Content Caching (PopCaching). PopCaching learns the popularity of content and uses it to determine which content it should store and which it should evict from the cache. Popularity is learned in an online fashion, requires no training phase and hence, it is more responsive to ...
Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li   +3 more
openaire   +1 more source

Optimal Content Caching based on Content Popularity for Content Delivery Networks

Asia Communications and Photonics Conference 2015, 2015
We consider optimal content caching based on their popularity so as to minimize the content delivery latency. We develop an Integer Linear Programming (ILP) optimization model and a heuristic algorithm to choose cached contents at each local server.
Xiang Li, Gangxiang Shen
openaire   +1 more source

Clustered Popularity Prediction for Content Caching

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
Content caching should be updated according to the time-varying content popularity. However, with the consideration of the time-consuming cache replacement process, it is necessary to predict the content popularity and adjust the cached contents beforehand. In this paper, we propose a popularity prediction scheme for content caching.
Qi Chen, Wei Wang, Zhaoyang Zhang
openaire   +1 more source