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

by: Arfan Ghani (Author)

Publisher: Springer

Edition: 2024th

Publication Date: 2024/8/6

Language: English

Print Length: 162 pages

ISBN-10: 3031601394

ISBN-13: 9783031601392

Book Description

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful jouey, readers are introduced to the practical applications of reconfigurable hardware, machine leaing, 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.

About the Author

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful jouey, readers are introduced to the practical applications of reconfigurable hardware, machine leaing, 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.