Main Innovations in Computer Vision and Data Classification: From Pandemic Data Analysis to Environmental and Health Monitoring (EAI/Springer Innovations in Communication and Computing)

Innovations in Computer Vision and Data Classification: From Pandemic Data Analysis to Environmental and Health Monitoring (EAI/Springer Innovations in Communication and Computing)

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This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse domains. The author explores topics such as the role of Field-Programmable Gate Arrays (FPGAs) in expediting pandemic data analysis and the transformative impact of computer vision on healthcare. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms. With the author's guidance, readers are led through practical implementations, ensuring a comprehensive grasp of each subject matter. Whether a seasoned researcher, engineer, or student, this book equips readers with the tools to make data-driven decisions, optimize systems, and innovate solutions across various fields, from healthcare to environmental monitoring.
Request Code : ZLIBIO4363037
Categories:
Year:
2024
Edition:
2024
Publisher:
Springer
Language:
English
Pages:
162
ISBN 10:
3031601394
ISBN 13:
9783031601392
ISBN:
3031601394,9783031601392
This book is not available due to the complaint of the copyright holder.

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