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Artificial Intelligence in the Impact of Covid-19 - IFERP
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- 1 Introduction
- 2 Keynote Speakers
- 3 Welcome
- 4 Outline
- 5 What is AI
- 6 How does it work
- 7 Approach of AI
- 8 Deep Learning
- 9 Deep Learning Architecture
- 10 Machine Learning vs Deep Learning
- 11 Importance of Deep Learning
- 12 Trends in Deep Learning
- 13 About Covid19
- 14 Symptoms
- 15 Prevention
- 16 Testing and Diagnosis
- 17 Dashboard
- 18 Chart
- 19 World Dashboard
- 20 Malaysia COVID19 Update
- 21 Coping with Stress
- 22 Dealing with Covid19
- 23 Artificial Intelligence in Covid19
- 24 Example of Robots
- 25 Virtual Convocation
- 26 Health Risk Assessment System
- 27 Staff Evaluation System
- 28 Self Monitoring System
- 29 Risk Resolution
- 30 Ask the Doctor
- 31 Experts
- 32 Applications
- 33 Academy
- 34 Body Temperature Detection
- 35 Pneumonia Detection
- 36 Skin Detection
- 37 Classification Detection
- 38 Detecting asymptomatic patients
- 39 Prediction of the pandemic
- 40 Screening for COVID19
- 41 Detecting COVID19
- 42 Detecting COVID19 in recovered patients
- 43 Detecting dead virus in recovered patients
- 44 Automated detection of infected patients
