Emerging Trends in Artificial Intelligence Based IoT: Techniques, Applications and Security
eBook - ePub

Emerging Trends in Artificial Intelligence Based IoT: Techniques, Applications and Security

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Emerging Trends in Artificial Intelligence Based IoT: Techniques, Applications and Security

About this book

This book explores cutting-edge methodologies, integration strategies, and secure frameworks that combine AI capabilities with IoT systems to enhance performance, decision-making, and scalability. Covering a wide range of crucial topics, including AI-driven predictive maintenance, healthcare IoT, smart cities, industrial automation, edge computing, cybersecurity challenges, and real-time data analytics. The book brings forward domain-specific innovations and solutions, illustrating how AI techniques such as machine learning, deep learning, and natural language processing are advancing IoT applications. Highlighting technical challenges, solutions, and future directions, the book offers practical guidance for researchers and practitioners working on intelligent IoT frameworks. Key Features: Explore real-world AI-IoT integration strategies Analyze applications in healthcare, smart homes, and industrial IoT Address edge and fog computing frameworks Examine security models and threat mitigation approaches Highlight regulatory and ethical implications Present expert-contributed chapters with case studies

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Yes, you can access Emerging Trends in Artificial Intelligence Based IoT: Techniques, Applications and Security by H.S. Hota,Dinesh K. Sharma,Ayan Kumar Das in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Contents
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. A Systematic Study of Blockchain Technology for Smart IoT: Architecture, Security Challenges, and Applications
  8. Role of Blockchain in Today’s Financial Growth Using IoT
  9. A Survey of Forest Fire Surveillance Strategy and Challenges Using the WSN Paradigm
  10. IoT-Based Intelligent Emergency Alert System Using Neural Computing and Machine Learning
  11. IoT-Enabled Framework for Secure and Transparent Digital Answer Script Evaluation Using Blockchain
  12. Intelligent Farm Management System Using IoT-Based Agrobot
  13. A Novel Unbiased Trust Establishment Mechanism in a Cross-Domain Cloud-Based IoT Environment
  14. Utilizing Graphical Representation and Deep Learning Models to Classify IoT Malware Network Traffic
  15. Optimum Utilization of Modern-Day Technology with Wearable Devices Using IoT
  16. An IoT-Enabled Automated Model for the Detection of COVID-19 Spread Using Deep Learning
  17. Automated Identification of Cloud-IoT-Based Sensitive Data in a Dataset
  18. Blockchain and IoT-Based Smart Agriculture Supply Chain Management
  19. Optimizing the Quality-of-Service Routing Mechanism Using Optimization Techniques for Software-Defined Network-Based IoT
  20. IoT-Based Data Security in Smart Farming Systems