Disease Control Through Social Network Surveillance
portes grátis
Disease Control Through Social Network Surveillance
Bourlai, Thirimachos; Alhajj, Reda; Karampelas, Panagiotis
Springer International Publishing AG
09/2022
225
Dura
Inglês
9783031078682
15 a 20 dias
580
Descrição não disponível.
Chapter 1. Analysis of public perceptions towards the COVID-19 vaccination drive: A case study of Tweets with Machine Learning classifiers (Kaushal Kumar).- Chapter 2. Spreader-centric Fake News Mitigation framework based on Epidemiology (Bhavtosh Rath).- Chapter 3. Understanding How Readers Determine the Legitimacy of Online Medical News Articles in the Era of Fake News (Srihaasa Pidikiti).- Chapter 4. Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages (Omar Abdel).- Chapter 5. Citation Graph Analysis and Alignment between Citation Adjacency and Themes or Topics of Publications in the Area of Disease Control through Social Network Surveillance (Moses Boudourides).- Chapter 6. Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework (Sarah Bouraga).- Chapter 7. Beyond Influence Maximization: Volume Maximization in Social Networks (Abhinav Choudhury).- Chapter 8. Concerns of IndianPopulation on Covid-19 Vaccine Shortage amidst second wave infection rate spikes: A Social Media Opinion Analysis (Remya Lathabhavan).- Chapter 9. Effects of Face Masks on the performance of Modern Face Detectors (Victor Philippe).- Chapter 10. Multispectral Face Mask Compliance Classification During a Pandemic (Jacob Rose).- Chapter 11. On the Effectiveness of Periocular-Based Human Authentication when Wearing Face Masks to Slow the Spread of COVID-19 (Ananya Zabin).
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infectious disease surveillance;clustering;indicator-based public health surveillance;mobile-based disease surveillance;electronic sentinel surveillance;fake news;false reporting;cybersecurity technologies;Social Distancing
Chapter 1. Analysis of public perceptions towards the COVID-19 vaccination drive: A case study of Tweets with Machine Learning classifiers (Kaushal Kumar).- Chapter 2. Spreader-centric Fake News Mitigation framework based on Epidemiology (Bhavtosh Rath).- Chapter 3. Understanding How Readers Determine the Legitimacy of Online Medical News Articles in the Era of Fake News (Srihaasa Pidikiti).- Chapter 4. Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages (Omar Abdel).- Chapter 5. Citation Graph Analysis and Alignment between Citation Adjacency and Themes or Topics of Publications in the Area of Disease Control through Social Network Surveillance (Moses Boudourides).- Chapter 6. Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework (Sarah Bouraga).- Chapter 7. Beyond Influence Maximization: Volume Maximization in Social Networks (Abhinav Choudhury).- Chapter 8. Concerns of IndianPopulation on Covid-19 Vaccine Shortage amidst second wave infection rate spikes: A Social Media Opinion Analysis (Remya Lathabhavan).- Chapter 9. Effects of Face Masks on the performance of Modern Face Detectors (Victor Philippe).- Chapter 10. Multispectral Face Mask Compliance Classification During a Pandemic (Jacob Rose).- Chapter 11. On the Effectiveness of Periocular-Based Human Authentication when Wearing Face Masks to Slow the Spread of COVID-19 (Ananya Zabin).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
