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**scribble mapped text # | idea | this as example** provides a comprehensive and up-to-date overview of the emerging field of decision fusion. Decision fusion is the process of combining information from multiple sensors to improve the accuracy, reliability, and timeliness of decision-making.

This book covers the fundamentals of decision fusion, including its concepts, architectures, performance measures, and applications. It also discusses the latest trends in decision fusion, such as the use of machine learning and artificial intelligence.

**scribble mapped text # | idea | this as example** is divided into 10 chapters. The first chapter provides an overview of the field of decision fusion. The second chapter discusses data fusion techniques, including preprocessing, feature extraction, data association, and state estimation. The third chapter focuses on sensor fusion for target tracking, including Kalman filtering and particle filtering. The fourth chapter covers sensor fusion for object recognition, including object detection, classification, and localization.

The fifth chapter discusses sensor fusion for situation assessment, including situation modeling, anomaly detection, and risk assessment. The sixth chapter covers sensor fusion for medical diagnosis, including disease diagnosis, treatment planning, and patient monitoring. The seventh chapter discusses sensor fusion for industrial automation, including process monitoring, fault detection, and robot navigation.

The eighth chapter covers sensor fusion for environmental monitoring, including air quality monitoring, water quality monitoring, and land cover classification. The ninth chapter discusses sensor fusion for smart cities, including traffic management, energy management, and disaster response. The tenth chapter explores emerging trends in sensor fusion, such as the use of machine learning and artificial intelligence.

**scribble mapped text # | idea | this as example** is intended for a wide audience, including researchers, practitioners, and students in the fields of decision fusion, sensor fusion, data fusion, and artificial intelligence. This book provides a valuable resource for anyone who wants to learn more about this rapidly growing field.

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Publisher ‏: ‎ PageBook24.com (January 13, 2025)
Language : ‎ English
Dimensions ‏: ‎ 6 x 9 inches
Pages ‏: ‎ 189 pages

Pasquale De Marco stands as a prolific author whose literary prowess knows no bounds. With a passion for storytelling that transcends genres, he has made a name for himself as a versatile writer with the extraordinary ability to captivate readers across diverse literary landscapes. His journey as an author is marked by an insatiable curiosity, a love for the written word, and a relentless commitment to sharing knowledge and experiences with the world.

Pasquale De Marco collaborates with a dedicated team of ghostreaders who assist him in evaluating and editing the manuscripts. His collaborators are not only skilled professionals but also avid readers who purchase and read books as a personal hobby. This unique blend of creativity allows Pasquale to push the boundaries of traditional publishing, making literature more accessible and diverse.