Maged Marghany

Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 11. April 2025
• Englisch
• ISBN-13: 9781040347393
• Artikelnr.: 73302043

Autorenporträt

Distinguished Professor Dr. Maged Marghany, the visionary behind the innovative theory titled "Quantized Marghany's Front", is the Director at Safanad Information Technology in Malaysia. Dr. Marghany has been listed among the top 2% of scientists for four consecutive years-2020, 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. Marghany's 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. Marghany's significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.

Inhaltsangabe

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.