Machine Learning for Drone-Enabled Iot Networks: Opportunities, Developments, and Trends
暫譯: 無人機驅動的物聯網網絡機器學習：機會、發展與趨勢
Hassan, Jahan, Khalifa, Sara, Misra, Prasant
- 出版商: Springer
- 出版日期: 2025-05-01
- 售價: $6,560
- 貴賓價: 9.5 折 $6,232
- 語言: 英文
- 頁數: 207
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031809602
- ISBN-13: 9783031809606
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相關分類:
Machine Learning、無人機、物聯網 IoT
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: -Machine learning algorithms for drone-enabled IoT networks -Sensing and data collection with drones for IoT applications -Data analysis and processing for IoT networks assisted by drones -Energy-efficient and scalable solutions for drone-assisted IoT networks -Security and privacy issues
in drone-enabled IoT networks -Emerging trends and future directions in ML for drone-assisted IoT networks.
商品描述(中文翻譯)
本書旨在探討最新的發展、挑戰和機會，特別是在應用機器學習技術以提升由無人機（UAVs）輔助的物聯網（IoT）網絡的性能和效率方面。本書將涵蓋該主題內多個領域的前沿研究與開發，包括但不限於：
- 用於無人機輔助物聯網網絡的機器學習演算法
- 利用無人機進行物聯網應用的感測與數據收集
- 由無人機輔助的物聯網網絡的數據分析與處理
- 無人機輔助物聯網網絡的能源效率和可擴展解決方案
- 無人機輔助物聯網網絡中的安全與隱私問題
- 無人機輔助物聯網網絡中機器學習的最新趨勢與未來方向。
作者簡介
Dr. Jahan Hassan is a faculty member at Central Queensland University, holding both a Ph.D. and a Bachelor's degree in Computer Science from the University of New South Wales and Monash University, Australia, respectively. Her research focuses on drone-assisted IoT networks, machine learning, energy efficiency, and smart farming applications. Currently, she leads a grant-funded project on AI-assisted weed management, utilizing drone technology to enhance agricultural practices. She is a recipient of the Dean's award on research excellence, and several conference best paper awards. Jahan has made significant contributions to the research community, particularly in networking, machine learning, and drone technologies.
Dr. Sara Khalifa is an associate professor at Queensland University of Technology (QUT), specialising in ubiquitous sensing and edge computing for IoT applications. Her work focuses on improving energy efficiency in mobile sensing and developing lightweight machine learning for resource-constrained devices. Prior joining QUT, she was at CSIRO's Data61, where she pioneered "Energy Harvesting Sensing (EHS)," advancing energy-efficient sensing and creating new applications with significant funding and commercial interest. She earned her Ph.D. in Computer Science and Engineering from UNSW, with her dissertation awarded the 2017 John Makepeace Bennett Award by CORE.
Dr. Prasant Misra is a senior scientist at Tata Consultancy Services--Research and Visiting Faculty at the Robert Bosch Centre for CPS, IISc Bangalore. He received his Ph.D. in Computer Science and Engineering from UNSW Sydney and completed his Post-doctoral fellowship from RISE SICS (the Swedish Institute of Computer Science) Stockholm. His research is centered around modeling, optimization, and decision support for operations management of urban mobility and infrastructure systems.
作者簡介(中文翻譯)
Dr. Jahan Hassan 是中央昆士蘭大學的教職員，擁有新南威爾士大學和澳大利亞莫納什大學的計算機科學博士學位和學士學位。她的研究專注於無人機輔助的物聯網（IoT）網絡、機器學習、能源效率和智慧農業應用。目前，她領導一個獲得資助的項目，專注於人工智慧輔助的雜草管理，利用無人機技術提升農業實踐。她曾獲得院長研究卓越獎和多個會議最佳論文獎。Jahan 在研究社群中做出了重要貢獻，特別是在網絡、機器學習和無人機技術方面。
Dr. Sara Khalifa 是昆士蘭科技大學（QUT）的副教授，專注於物聯網應用的無處不在感知和邊緣計算。她的工作重點在於提高移動感知的能源效率，並為資源受限的設備開發輕量級的機器學習。在加入 QUT 之前，她曾在 CSIRO 的 Data61 工作，開創了「能源收集感知（Energy Harvesting Sensing, EHS）」，推進了能源高效感知並創造了具有重大資金和商業興趣的新應用。她在新南威爾士大學獲得計算機科學與工程的博士學位，其論文獲得了 2017 年 CORE 的 John Makepeace Bennett 獎。
Dr. Prasant Misra 是塔塔顧問服務公司的高級科學家，並在班加羅爾的羅伯特·博世 CPS 中心擔任訪問教職。他在新南威爾士大學悉尼校區獲得計算機科學與工程的博士學位，並在瑞典計算機科學研究所（RISE SICS）斯德哥爾摩完成了博士後研究。他的研究集中在城市移動性和基礎設施系統的運營管理建模、優化和決策支持。
