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Machine Learning Based Air Traffic Surveillance System Using Image Processing - by Jay Kumar Pandey & Mritunjay Rai & Faizan Ahmad (Hardcover)

Machine Learning Based Air Traffic Surveillance System Using Image Processing - by  Jay Kumar Pandey & Mritunjay Rai & Faizan Ahmad (Hardcover) - 1 of 1
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About this item

Highlights

  • Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management.
  • About the Author: Jay Kumar Pandey is an Assistant Professor in the Department of Electronics and Communication Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.), India.
  • 344 Pages
  • Technology, Aeronautics & Astronautics

Description



About the Book



Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management.



Book Synopsis



Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.

This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.



About the Author



Jay Kumar Pandey is an Assistant Professor in the Department of Electronics and Communication Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.), India.

Mritunjay Rai is an Assistant Professor in Department of ECE in Shri Ramswaroop Memorial University, Barabanki (U.P.), India.

Faizan Ahmad is a Lecturer in Computer Science and/or Games Development at Cardiff School of Technologies, Cardiff Metropolitan University, UK.

Dimensions (Overall): 9.02 Inches (H) x 5.98 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 344
Genre: Technology
Sub-Genre: Aeronautics & Astronautics
Publisher: Emerald Publishing Limited
Format: Hardcover
Author: Jay Kumar Pandey & Mritunjay Rai & Faizan Ahmad
Language: English
Street Date: January 28, 2026
TCIN: 1005738193
UPC: 9781805920632
Item Number (DPCI): 247-48-0445
Origin: Made in the USA or Imported

Shipping details

Estimated ship dimensions: 1 inches length x 5.98 inches width x 9.02 inches height
Estimated ship weight: 1 pounds
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