Results 31 to 40 of about 37,309 (258)
Sensors, 2021 The Internet’s popularization has increased the amount of content produced and consumed on the web. To take advantage of this new market, major content producers such as Netflix and Amazon Prime have emerged, focusing on video streaming services. However,
Sidney Loyola de Sá +2 more
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Dank or not? Analyzing and predicting the popularity of memes on Reddit [PDF]
Applied Network Science, 2021 AbstractInternet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of March, 2020, when the most serious coronavirus restrictions were being introduced around the world.
Kate Barnes +5 more
openaire +5 more sources
Federated Learning-Based Service Caching in Multi-Access Edge Computing System
Applied SciencesMulti-access edge computing (MEC) brings computations closer to mobile users, thereby decreasing service latency and providing location-aware services.
Tuan Phong Tran +3 more
doaj +1 more source
Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach
IEEE Access, 2017 Content caching at base stations is a promising solution to address the large demands for mobile data services over cellular networks. Content caching is a challenging problem as it requires predicting the future popularity of the content and the ...
S. M. Shahrear Tanzil +2 more
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Video Popularity Prediction: An Autoencoder Approach With Clustering
IEEE Access, 2020 Autoencoders implemented by artificial neural networks (ANNs) are utilized to learn the latent space representation of data in an unsupervised manner, and they have been widely used in recommender systems.
Yu-Tai Lin +2 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Examining visual impact: predicting popularity and assessing social media visual strategies for NGOs
Online Media and Global Communication, 2023 This research aims to analyze the role of visuals posted on the social media of NGOs and to predict the popularity of a post based on the characteristics of the visual it contains.
Koutromanou Elina +2 more
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Predicting the Popularity of Reddit Posts with AI
CoRR, 2021 Social media creates crucial mass changes, as popular posts and opinions cast a significant influence on users' decisions and thought processes. For example, the recent Reddit uprising inspired by r/wallstreetbets which had remarkable economic impact was started with a series of posts on the thread.
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Latent Factors of Visual Popularity Prediction [PDF]
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015 Predicting the popularity of an image on social networks based solely on its visual content is a difficult problem. One image may become widely distributed and repeatedly shared, while another similar image may be totally overlooked. We aim to gain insight into how visual content affects image popularity. We propose a latent ranking approach that takes
Spencer Cappallo +2 more
openaire +4 more sources