Multimodal Intelligent Sensing in Modern Applications (現代應用中的多模態智能感知)
Ur Rehman, Masood, Zoha, Ahmed, Jamshed, Muhammad Ali
- 出版商: Wiley
- 出版日期: 2025-01-22
- 售價: $5,100
- 貴賓價: 9.5 折 $4,845
- 語言: 英文
- 頁數: 320
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394257716
- ISBN-13: 9781394257713
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相關主題
商品描述
Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text
The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things.
Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts--physical design aspects, data acquisition and analysis techniques, and security and energy challenges--which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future.
Multimodal Intelligent Sensing in Modern Applications readers will also find:
- A field of multidisciplinary contributors in fields like wireless communications, signal processing, and sensor design
- Coverage of both software and hardware solutions to sensing challenges
- Detailed treatment of advanced topics like efficient deployment, data fusion, machine learning, and more
Multimodal Intelligent Sensing in Modern Applications is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G/6G networks. It can also act an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.
商品描述(中文翻譯)
發現這本前沿著作中的多模態智能感知的設計、實施和分析技術
物聯網（IoT）正日益全面地融入日常生活。驅動智能技術的智能系統依賴於越來越複雜的傳感器，以監控輸入並動態響應。多模態感知為這些技術提供了巨大的好處，但也帶來了更大的挑戰；為現代物聯網提供能效高、可靠且無干擾的感知系統從未如此重要。
《現代應用中的多模態智能感知》介紹了整合多個傳感器以產生情境感知和處理輸入的系統。該書分為三個部分——物理設計方面、數據獲取和分析技術，以及安全和能源挑戰——這三部分共同涵蓋了多模態感知的所有主要主題。最終，這本書對於希望設計未來智能設備的工程師和其他專業人士來說，是一本不可或缺的著作。
《現代應用中的多模態智能感知》的讀者還將發現：
- 一個來自無線通信、信號處理和傳感器設計等領域的多學科貢獻者團隊
- 涵蓋感知挑戰的軟體和硬體解決方案
- 對高級主題如高效部署、數據融合、機器學習等的詳細探討
《現代應用中的多模態智能感知》非常適合需要將其技能應用於物聯網和5G/6G網絡的經驗豐富的工程師和設計師。它也可以作為研究生研究人員的入門文本，幫助他們理解各種傳感器類型和數據分析工具的背景、設計和實施。
作者簡介
Masood Ur-Rehman, PhD, MSc, is a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, UK and leads the Antennas & Radio-wave Propagation group. He received his MSc and PhD in Electronic Engineering from Queen Mary Univeristy of London, London, UK, in 2006 and 2010, respectively.
Ahmed Zoha, PhD, MSc, is a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, UK and leads the Distributed learning and Intelligence group. He received his PhD degree in Electrical and Electronic Engineering from the 5G Innovation Centre at the University of Surrey, UK, and his MSc in Communication Engineering from the Chalmers University of Technology, Sweden.
Naeem Ramzan, PhD, is a Full Professor in Computing Engineering and Chair of Affective and Human Computing for Smart Environment Research Centre and Co-lead of Visual Communication Cluster in AVCN at the University of the West of Scotland, Paisley, UK. He received his PhD in Electronic Engineering from Queen Mary University of London, London, UK in 2008.
Muhammad Ali Jamshed, PhD, MSc, is with University of Glasgow, since 2021. He is a visiting Research Fellow at the University of Sussex. He is endorsed by Royal Academy of Engineering under exceptional talent category and was nominated for Departmental Prize for Excellence in Research in 2019 at the University of Surrey.
作者簡介(中文翻譯)
Masood Ur-Rehman, PhD, MSc，是英國格拉斯哥大學詹姆斯·瓦特工程學院的高級講師，並領導天線與無線波傳播小組。他於2006年和2010年分別在倫敦女王瑪麗大學獲得電子工程碩士和博士學位。
Ahmed Zoha, PhD, MSc，是英國格拉斯哥大學詹姆斯·瓦特工程學院的高級講師，並領導分散式學習與智能小組。他在英國薩里大學的5G創新中心獲得電氣與電子工程博士學位，並在瑞典查爾默斯科技大學獲得通信工程碩士學位。
Naeem Ramzan, PhD，是英國西蘇格蘭大學計算工程的全職教授，並擔任智能環境研究中心的情感與人類計算主席，以及AVCN視覺通信集群的共同負責人。他於2008年在倫敦女王瑪麗大學獲得電子工程博士學位。
Muhammad Ali Jamshed, PhD, MSc，自2021年以來在格拉斯哥大學任職。他是薩塞克斯大學的訪問研究員。他在英國皇家工程院的卓越人才類別中獲得認可，並於2019年被提名為薩里大學的部門研究卓越獎。
