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E-grāmata: Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting

  • Formāts: 360 pages
  • Izdošanas datums: 11-Apr-2025
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781040347393
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Advanced Remote Sensing Technology for Covid-19 Monitoring and ForecastingPalielināt
  • Formāts: 360 pages
  • Izdošanas datums: 11-Apr-2025
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781040347393
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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.



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.

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.

Distinguished Professor Dr. Maged Marghany, the visionary behind the innovative theory titled Quantized Marghanys Front, is the Director at Safanad Information Technology in Malaysia. Dr. Marghany has been listed among the top 2% of scientists for four consecutive years2020, 2021, 2023, 2024 by Stanford University. Furthermore, his profound impact is reflected in the recognition of two of his books, acknowledged among the best genetic algorithm books of all time. Dr. Marghanys ongoing commitment continues to shape the landscape of scientific thought and geoinformation expertise.

Additionally, Dr. Maged Marghany achieved the remarkable distinction of being ranked first among oil spill scientists in a global list spanning the last 50 years, compiled by the prestigious Universidade Estadual de Feira de Santana in Brazil. He was also a prominent visiting professor at Syiah Kuala University in Indonesia.

In previous roles, Dr. Marghany directed the Institute of Geospatial Applications at the University of Geomatica College. His educational journey includes a post-doctoral degree in radar remote sensing, a PhD in environmental remote sensing, and a Master of Science in physical oceanography. With over 250 papers and influential books like Advanced Remote Sensing Technology for Tsunami Modeling and Forecasting, Dr. Marghanys significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.
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