AI and blockchain optimization techniques in aerospace engineering[electronic resource]

  • 其他作者: Ratnakumar, Rahul. , Vignesh, U. , IGI Global.
  • 出版: Hershey, Pennsylvania : IGI Global 2024.
  • 稽核項: 1 online resource (255 p.).
  • 標題: Aerospace engineering Technological innovations. , Artificial intelligence. , Blockchains (Databases) , Technological innovations. , Electronic books. , Aerospace engineering
  • ISBN: 9798369314913
  • 試查全文@TNUA:
  • 附註: Includes bibliographical references and index. Chapter 1. Aerospace image processing using bio-inspired algorithms -- Chapter 2. An empirical review on clustering algorithms for image segmentation of satellite images -- Chapter 3. Blockchain systems in aerospace engineering: review and research challenges -- Chapter 4. Design of sliding mode control law for quadrotor with adaptive super twisting algorithm -- Chapter 5. Enhancing aerospace engineering through synergies of AI and blockchain technologies -- Chapter 6. Investigation of aviation sector in industry 5.0 -- Chapter 7. Machine learning-based environmental, social, and scientific studies using satellite images: a case series -- Chapter 8. Machine learning for aerospace object categorization -- Chapter 9. Synergizing aerospace efficiency: blockchain and AI integration for enhanced security in flight data management -- Chapter 10. Synergizing AI and blockchain: transforming aerospace engineering operations.
  • 摘要: "The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systemsThe book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchaintechnology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field."--
  • 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1491-3
  • 系統號: 005337771
  • 資料類型: 電子書
  • 讀者標籤: 需登入
  • 引用網址: 複製連結