Correction to: Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic [0.03%]
Correction to: 在COVID-19大流行期间检测电子学习系统中网络入侵的方法学
Ivan Cvitić,Dragan Peraković,Marko Periša et al.
Ivan Cvitić et al.
[This corrects the article DOI: 10.1007/s11036-021-01789-3.]. © Springer Science+Business Media, LLC, part of Springer Nature 2021.
Published Erratum
Mobile networks and applications : MONET. 2021 Dec 19:1. DOI:10.1007/s11036-021-01879-2 2021
TA-BiLSTM: An Interpretable Topic-Aware Model for Misleading Information Detection in Mobile Social Networks [0.03%]
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As essential information acquisition tools in our lives, mobile social networks have brought us great convenience for communication. However, misleading information such as spam emails, clickbait links, and false health information appears ...
Edgar Bisset-Alvarez
Edgar Bisset-Alvarez
AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities [0.03%]
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Feature Importance Analysis by Nowcasting Perspective to Predict COVID-19 [0.03%]
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André Vinícius Gonçalves et al.
The present work raises an investigation about prediction and the feature importance to estimate the COVID-19 infection, using Machine Learning approach. Our work analyzed the inclusion of climatic features, mobility, government actions and...
Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact [0.03%]
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Nima TaheriNejad,Paolo Perego,Amir M Rahmani
Nima TaheriNejad
Mobile health technology is a rapidly growing field with numerous promises to make substantial impact in our lives. To open this special issue, which brings to you many exciting research results in mobile health technology, we discuss two i...
An Intelligent IoT Monitoring and Prediction System for Health Critical Conditions [0.03%]
一种智能物联网健康危急状况监测和预测系统
Omar Alfandi
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Diabetes is considered among the major critical health conditions (chronic disease) around the world. This is due the fact that Glucose level could change drastically and lead to critical conditions reaching to death in some advance cases. ...
An Introduction to Artificial Intelligence and Machine Learning for Online Education [0.03%]
面向在线教育的人工智能和机器学习导论
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Changling Peng
Data Offloading via Optimal Target Set Selection in Opportunistic Networks [0.03%]
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Prince Sharma,Shailendra Shukla,Amol Vasudeva
Prince Sharma
The rapid rate of dependence over internet usage using digital devices also results in enormous data traffic. The conventional way to handle these services is to increase the infrastructure. However, it results in high cost of implementatio...
Prevention and Control of COVID-19 Risks for Long-Term Care Facilities Based on the Prospect Theory [0.03%]
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Xiaofeng Xie,Jianhui Kong,Xiuying Hu et al.
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Given the complexity and uncertainty of the current COVID-19 risks, the elderly people in long-term care facilities are at the highest risk for infection. In order to study the prevention and control strategies of COVID-19 risks in long-ter...