| 청구기호 |
Q336 |
| 판사항 |
1st ed. 2022.
|
| 형태사항 |
XVI, 225 p. 1 illus. online resource.
|
| 총서명 |
Lecture Notes in Social Networks, 2190-5436
|
| 언어 |
English |
| 내용 |
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 Indian Population 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).
|
| 주제 |
Artificial intelligence—Data processing.
Medical informatics.
Public health.
Epidemiology.
Data Science.
Health Informatics.
Public Health.
Epidemiology.
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783031078682
Printed edition: 9783031078705
Printed edition: 9783031078712
|
| ISBN |
9783031078699 |
| 기타 표준번호 |
10.1007/978-3-031-07869-9 |
| QR CODE |
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