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AI and blockchain optimization techniques in aerospace engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and blockchain optimization techniques in aerospace engineering/ U. Vignesh, Rahul Ratnakumar, editor.
remainder title:	Artificial intelligence and blockchain optimization techniques in aerospace engineering
other author:	Ratnakumar, Rahul.
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (255 p.)
[NT 15003449]:	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.
Subject:	Aerospace engineering - Technological innovations. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1491-3
ISBN:	9798369314920

AI and blockchain optimization techniques in aerospace engineering
AI and blockchain optimization techniques in aerospace engineering[electronic resource] /Artificial intelligence and blockchain optimization techniques in aerospace engineeringU. Vignesh, Rahul Ratnakumar, editor. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (255 p.)

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.

"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."--

ISBN: 9798369314920Subjects--Topical Terms:

3590616
Aerospace engineering
--Technological innovations.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TL789 / .A33 2024e

Dewey Class. No.: 001.942

AI and blockchain optimization techniques in aerospace engineering
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020 $a 9798369314913 $q (print)
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245 0 0 $a AI and blockchain optimization techniques in aerospace engineering $h [electronic resource] / $c U. Vignesh, Rahul Ratnakumar, editor.
246 3 $a Artificial intelligence and blockchain optimization techniques in aerospace engineering
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (255 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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."-- $c Provided by publisher.
650 0 $a Aerospace engineering $x Technological innovations. $3 3590616
650 0 $a Artificial intelligence. $3 516317
650 0 $a Blockchains (Databases) $3 3222206
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Ratnakumar, Rahul. $3 3730193
700 1 $a Vignesh, U. $3 3730194
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1491-3