AI and blockchain applications in industrial robotics[electronic resource]

  • 其他作者: Lazarescu, Mihai Teodor, , Tabassum, Nikhath, , Devanagavi, Geetha D., , Biradar, Rajashekhar C., , Hegde, Nayana, , IGI Global.
  • 出版: Hershey, Pennsylvania : IGI Global 2024.
  • 稽核項: 1 online resource (414 p.).
  • 標題: Internet of things Industrial applications. , Electronic books. , Blockchains (Databases) , Artificial intelligence Industrial applications. , Industrial applications. , Blockchains (Databases) Industrial applications. , Robots, Industrial. , Artificial intelligence , Internet of things
  • ISBN: 9798369306598
  • 試查全文@TNUA:
  • 附註: Includes bibliographical references and index. Chapter 1. AI and blockchain fundamentals: their convergence in the realm of industrial robotics -- Chapter 2. AI and blockchain for industrial robotics: ethical, legal, and social implications -- Chapter 3. Enhancing industrial robotics performance and security with AI and blockchain technologies -- Chapter 4. Intelligent resource allocation and optimization for industrial robotics using AI and blockchain -- Chapter 5. Multi-layered blockchain-based security model for electronic health record systems -- Chapter 6. IoT sensors for smart automation: a systematic review -- Chapter 7. Blockchain and artificial intelligence for cyber security in the era of internet of things and industrial internet of things applications -- Chapter 8. Application of AI and blockchain technologies in the medical domain -- Chapter 9. Artificial intelligence and blockchain technology for secure smart grid and power distribution automation -- Chapter 10. Blockchain technology: a study applied on intelligent transport system -- Chapter 11. Building a secure and transparent online conversation platform: a blockchain-based website with integrated virtual assistant -- Chapter 12. Enhancing money laundering detection through machine learning: a comparative study of algorithms and feature selection techniques -- Chapter 13. Apple leaf disease identification and segmentation using enhanced learning-driven feature representation model -- Chapter 14. Machine learning and blockchain integration in industrial robotics: challenges and opportunities.
  • 摘要: "The ever-evolving industrial landscape poses challenges for businesses, particularly in robotics, where performance optimization and data security are paramount. AI and Blockchain Applications in Industrial Robotics, edited by esteemed scholars Mihai Lazarescu, Rajashekhar Biradar, Geetha Devanagavi, Nikhath Tabassum, and Nayana Hegde, presents the transformative potential of combining AI and blockchain technologies to revolutionize the field. This exceptional book provides comprehensive insights into how AI enhances predictive models and pattern recognition, while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency,trust, and efficiency in their robotic processes. With practical applications, use cases, and real-world examples, the book caters to a wide range of readers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics. AI and Blockchain Applications in Industrial Robotics equip industries with the tools and understanding to overcome challenges in optimizing performance, ensuring data security, and harnessing emerging technologies. Serving as a beacon of knowledge, this book drives innovation, efficiency, and competitiveness in the industrial sector. Whether for postgraduate students, researchers, industry professionals, undergraduate students, or freelance developers, the book provides valuable insights and practical guidance for implementing AI and blockchain solutions. By embracing the transformative potential of these technologies, industries can unlock new possibilities and propel themselves forward in the ever-advancing world of industrial robotics. "--
  • 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0659-8
  • 系統號: 005337756
  • 資料類型: 電子書
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