Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting
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Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting

Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting

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About the Book

This book provides a groundbreaking exploration of satellite remote sensing's role in tracking the mobility and spread of COVID-19, focusing on its origin in Wuhan City. It addresses the gap in research by employing advanced techniques like quantum image processing to analyze satellite data and differentiate between COVID-19-related deaths and other causes. Additionally, it explores conspiracy theories, vaccine development through quantum mechanics, and the use of quantum computing for detecting pandemic patterns. The book also delves into the economic impact of COVID-19, offering a scientific response to geopolitical tensions and media accusations surrounding the pandemic's origins.

Table of Contents:
Dedication. Preface. Conspiracy Theories Beyond the Principles of the Coronavirus. Quantum Mechanics of Remote Sensing for Coronavirus Vaccines. Quantized X-rays in Imaging the Mechanism of COVID-19 in the Infected Human Body. Enhancing Accuracy in Detecting COVID-19 Lung Infections: A Quantum Superposition Algorithm Approach. Quantum Support Vector Machine for Automatic Detection of COVID-19 Lung Infection Features. Principle of Quantized Satellite Remote Sensing for Tracking COVID-19 Pandemic. Utilizing Quantum Spectral Signatures for Monitoring the Development of Emergency Hospital Construction Through High-Resolution Satellite Imagery. Exploring the Origins of the COVID-19 Virus in Wuhan City using Quantum Particle Swarm Optimization. Unveiling the Foundations of Synthetic Aperture Radar. Exploring Surges of Death Using Marghany Joint Quantum Entropy Algorithm: A Case Study of Tongzhou Funeral Home in ICEYE Satellite Data. Quantum Machine Learning Algorithm for Detecting COVID-19 Surge Death Feature Indices in High-Resolution ICEYE Satellite Data: A Case Study of Jiangsu Province, China. Quantum Multi-temporal InSAR for Monitoring Transport Infrastructure as an Index of COVID-19 Spread: A Case Study of Wuhan City, China. Four-Dimensional Quantum Hologram Interferometry for Forecasting COVID-19 Spread in Urban Slums and Predicting Economic Growth Trends. Index. About the Author.


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Product Details
  • ISBN-13: 9781040347355
  • Publisher: Taylor & Francis Ltd
  • Binding: Digital (delivered electronically)
  • ISBN-10: 1040347355
  • Publisher Date: 11 Apr 2025
  • Language: English


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Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting
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Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting
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