Innovations in Computer Vision and Data Classification: From Pandemic Data Analysis to Environmental and Health Monitoring
Ghani, Arfan
- 出版商: Springer
- 出版日期: 2024-08-06
- 售價: $5,700
- 貴賓價: 9.5 折 $5,415
- 語言: 英文
- 頁數: 149
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031601394
- ISBN-13: 9783031601392
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相關分類:
Data Science、Computer Vision
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
本書深入探討數據分類的動態領域，專注於其在現實世界中的應用。透過一段富有洞察力的旅程，讀者將了解可重構硬體、機器學習、計算機視覺和神經形態電路設計在各個領域的實際應用。作者探討了現場可編程閘陣列（FPGAs）在加速疫情數據分析中的角色，以及計算機視覺對醫療保健的變革性影響。此外，本書還深入探討環境數據分類、深度神經網絡應用的能源效率解決方案，以及能源轉換算法的實時性能分析。在作者的指導下，讀者將通過實際實施，確保對每個主題的全面理解。無論是資深研究者、工程師還是學生，本書都為讀者提供了做出數據驅動決策、優化系統和創新解決方案的工具，涵蓋從醫療保健到環境監測等各個領域。
作者簡介
Dr. Arfan Ghani currently serves as an Associate Professor in Computer Science and Engineering at the American University of Ras al Khaimah, UAE. He attained academic qualifications and gained valuable experience from UK institutions, including Ulster, Coventry, and Newcastle. Dr Ghani's industrial research and development expertise spans various roles at Intel Research, the University of Cambridge, and Microchip Denmark. With extensive applied research experience, he has made significant contributions to leading journals and conferences and successfully secured substantial collaborative funding from prestigious entities such as EPSRC, EU, Innovate UK, the Royal Academy of Engineering, and the German Aerospace Centre. Dr. Ghani actively engages in scholarly activities, serving as an Associate Editor for Elsevier Neurocomputing, Guest Editor, and Technical Programme Committee member for numerous IEEE/IET conferences. His contributions to the field have been acknowledged with several awards, including the Best Paper award from the European Neural Network Society in 2007. Dr. Ghani specializes in Computer Vision-based healthcare diagnostics, AI chip design, and reconfigurable hardware accelerators for machine learning and deep neural network architectures. His expertise in these areas has led to groundbreaking advancements in applying technology to solve critical healthcare challenges. Dr. Ghani is a distinguished member of the Institution of Engineering and Technology (IET), a Chartered Engineer (CEng), and a Fellow of the Higher Education Academy in the UK.
作者簡介(中文翻譯)
阿爾凡·甘尼博士目前擔任阿聯酋拉斯阿爾海瑪大學計算機科學與工程的副教授。他在英國的學術機構獲得學位並積累了寶貴的經驗，包括阿爾斯特大學、考文垂大學和紐卡斯爾大學。甘尼博士在英特爾研究、劍橋大學和丹麥微芯片等多個角色中擁有工業研究與開發的專業知識。憑藉廣泛的應用研究經驗，他對領先的期刊和會議做出了重要貢獻，並成功獲得來自EPSRC、歐盟、英國創新局、皇家工程院和德國航空航天中心等知名機構的大量合作資金。甘尼博士積極參與學術活動，擔任Elsevier Neurocomputing的副編輯，並擔任多個IEEE/IET會議的客座編輯和技術程序委員會成員。他在該領域的貢獻獲得了多項獎項的認可，包括2007年歐洲神經網絡學會的最佳論文獎。甘尼博士專注於基於計算機視覺的醫療診斷、人工智慧晶片設計以及用於機器學習和深度神經網絡架構的可重構硬體加速器。他在這些領域的專業知識促成了在應用技術解決關鍵醫療挑戰方面的突破性進展。甘尼博士是工程與技術學會（IET）的傑出成員，擁有特許工程師（CEng）資格，並且是英國高等教育學院的院士。
