Results 71 to 80 of about 263,843 (270)
Predicting Key Events in the Popularity Evolution of Online Information. [PDF]
PLoS ONE, 2017 The popularity of online information generally experiences a rising and falling evolution. This paper considers the "burst", "peak", and "fade" key events together as a representative summary of popularity evolution.
Ying Hu +4 more
doaj +1 more source
Event Organization 101: Understanding Latent Factors of Event Popularity
, 2017 The problem of understanding people's participation in real-world events has been a subject of active research and can offer valuable insights for human behavior analysis and event-related recommendation/advertisement.
Lv, Qin, Zhang, Shuo
core +2 more sources
Mechanoregulatory Effects of Cell‐Scale Microwells on Epithelial Cell Phenotype
Advanced Functional Materials, EarlyView.In small polycaprolactone microwells, A549 epithelial cells span well edges, in contrast to cells growing on flat substrates. Focal adhesion sites (yellow) concentrate at topographic boundaries, while cytoskeletal tension (magenta stress fibers) is transmitted to the nucleus (blue), reducing nuclear sphericity.
Ruiwen He +10 more
wiley +1 more source
A Prediction Method of Peak Time Popularity Based on Twitter Hashtags
IEEE Access, 2020 Understanding the peak time of popularity evolution can provide insights on recommendation systems and online advertising campaigns. Although popularity evolution has been largely studied, the problem of how to predict its peak time remains unexplored ...
Hai Yu, Ying Hu, Peng Shi
doaj +1 more source
Popularity prediction on Instagram using machine learning [PDF]
, 2017 In the last year, the research about new ways of using Machine Learning for the human profit has grown exponentially. At the same time, our society is evolving into new ways of communication and social interaction.
Massip Cano, Eric
core
Revisiting the problem of audio-based hit song prediction using convolutional neural networks
, 2017 Being able to predict whether a song can be a hit has impor- tant applications in the music industry. Although it is true that the popularity of a song can be greatly affected by exter- nal factors such as social and commercial influences, to which ...
Chen, Yi-An +4 more
core +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
, 2018 Taxi demand prediction is an important building block to enabling intelligent transportation systems in a smart city. An accurate prediction model can help the city pre-allocate resources to meet travel demand and to reduce empty taxis on streets which ...
Gong, Pinghua +8 more
core +1 more source
Advanced Functional Materials, EarlyView.Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Predicting popularity of online videos using Support Vector Regression
, 2017 In this work, we propose a regression method to predict the popularity of an online video based on temporal and visual cues. Our method uses Support Vector Regression with Gaussian Radial Basis Functions.
Rokita, Przemyslaw, Trzcinski, Tomasz
core +1 more source