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Let's (Tik) Talk About Fitness Trends.

Frontiers in public health
Several factors that follow the development of society affect physical inactivity, which primarily includes the development of technology and digitalization and the increasing choice of unhealthy lifestyle habits. However, certain shifts in the fitne...

Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network.

Computational intelligence and neuroscience
With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed...

Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning.

Computational intelligence and neuroscience
The rapid iteration of information technology makes the development of online social networks increasingly rapid, and its corresponding network scale is also increasingly large and complex. The corresponding algorithms to deal with social networks an...

Detection Anomaly in Video Based on Deep Support Vector Data Description.

Computational intelligence and neuroscience
Video surveillance systems have been widely deployed in public places such as shopping malls, hospitals, banks, and streets to improve the safety of public life and assets. In most cases, how to detect video abnormal events in a timely and accurate m...

Preserving the Privacy of Healthcare Data over Social Networks Using Machine Learning.

Computational intelligence and neuroscience
A key challenge in clinical recommendation systems is the problem of aberrant patient profiles in social networks. As a result of a person's abnormal profile, numerous vests might be used to make fake remarks about them, cyber bullying, or cyber-atta...

A Rumor Detection Method from Social Network Based on Deep Learning in Big Data Environment.

Computational intelligence and neuroscience
Aiming at the lack of feature extraction ability of rumor detection methods based on the deep learning model, this study proposes a rumor detection method based on deep learning in social network big data environment. Firstly, the scheme of combining...

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.

Computational intelligence and neuroscience
Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used...

Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model.

Computational intelligence and neuroscience
In today's era, social networking platforms are widely used to share emotions. These types of emotions are often analyzed to predict the user's behavior. In this paper, these types of sentiments are classified to predict the mental illness of the use...

Deep Learning-Based Fake Information Detection and Influence Evaluation.

Computational intelligence and neuroscience
With the prevalence of the Internet, a large number of users have participated in OSN (Online Social Networks), which has gradually made it the mainstream way for obtaining news or information from the Internet. However, with the rapid development of...

Twenty seconds of visual behaviour on social media gives insight into personality.

Scientific reports
Eye tracking allows the researcher to capture individual differences in the expression of visual exploration behaviour, which in certain contexts has been found to reflect aspects of the user's preferences and personality. In a novel approach, we rec...