AI-Powered IoT for COVID-19

AI-Powered IoT for COVID-19

Al-Turjman, Fadi

Taylor & Francis Ltd

12/2020

198

Dura

Inglês

9780367566746

15 a 20 dias

439

Descrição não disponível.
Preface. About the Author. List of Contributors. Chapter 1 Cloud Computing and Business Intelligence in IoT-Enabled Smart and Healthy Cities. Chapter 2 Resource Allocation in Volunteered Cloud Computing and Battling COVID-19. Chapter 3 Analyzing Radiographs for COVID-19 Using Artificial Intelligence. Chapter 4 IoT-Based Micro-Expression Recognition for Nervousness Detection in COVID-Like Condition. Chapter 5 Genetically Optimized Computer-Aided Diagnosis for Detection and Classification of COVID-19. Chapter 6 Micro-Expression Recognition Using 3D-CNN Layering. Chapter 7 Applications of AI, IoT, IoMT, and Biosensing Devices in Curbing COVID-19. Chapter 8 How Artificial Intelligence and IoT Aid in Fighting COVID-19. Chapter 9 Physical Therapy Recommendations for Patients with COVID-19. Chapter 10 AI in Fighting against COVID-19: A Case Study. Index.
MERS;Middle East Respiratory Syndrome Coronavirus;Internet of Things;Severe Acute Respiratory Syndrome Coronavirus;Artificial intelligence;CNN Model;Medical applications;Max Pool Layers;COVID-19 pandemic;Cloud Computing;CoV;Corona Virus;Middle East Respiratory Syndrome;Local Binary Pattern;Deep Learning Model;Acute Respiratory Distress Syndrome;Ard;Fer;Optimize Ann Model;SVM Classifier;CT Scan Image;Volunteered Computing;Cloud IoT;Aerobic Capacity;Mode;LBP;Aerobic Exercises;Single Strand RNA Virus;Roc Curve