Smart Manufacturing with AIoT
eBook - ePub

Smart Manufacturing with AIoT

Signal Processing, Computer Vision, and Data Analytics

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

Smart Manufacturing with AIoT

Signal Processing, Computer Vision, and Data Analytics

About this book

As industries move toward intelligent, adaptive, and efficient manufacturing processes, the integration of (artificial intelligence) AI, (Internet of Things) IoT, signal processing, and computer vision is crucial. This book serves as a comprehensive guide for professionals, researchers, and academics seeking to leverage the power of cutting?edge technologies in the field of smart manufacturing.

Smart Manufacturing with AIoT: Signal Processing, Computer Vision, and Data Analytics is a comprehensive guide that focuses on practical implementation, bridging the gap between theoretical concepts and real?world applications. Each chapter of this book explores a different aspect of the synergy between AI, IoT, signal processing, and computer vision, starting with foundational concepts and progressing toward advanced applications. From enhancing quality control processes to implementing proactive maintenance strategies and enabling dynamic threat assessment, this book covers a wide range of topics that define the contemporary landscape of smart manufacturing.

This book explores the intricate details of AIoT, signal processing, and computer vision, providing valuable insights for both beginners and experienced professionals in the field. Readers will gain actionable knowledge that empowers them to implement transformative solutions in their smart manufacturing environments.

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Yes, you can access Smart Manufacturing with AIoT by Keyurkumar Patel,Ankit D. Oza,Ankit Sharma,Archana Mantri,Hreetabh Kishore in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Quality Control in Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Table of Contents
  8. Preface
  9. Acknowledgments
  10. About the Editors
  11. Contributors
  12. 1. Deep Learning-Based Improved Gait Recognition Using 3D Skeletal Data for Smart Surveillance Systems
  13. 2. IoT-Based Automated Fog Detection System Using kNN and Real-Time Meteorological Data Analytics
  14. 3. Intelligent Waste Classification Framework Based on Machine Learning and Deep Learning for Smart City Applications
  15. 4. AI-Powered Data Analytics for Optimizing Tea Tourism: An Investigation on Determinants and Destination Information
  16. 5. Substation Level Short-Term Load Forecasting Using Graph-Based Signal Processing and Machine Learning Algorithms
  17. 6. AI-Based Histopathological Image Analysis for Breast Cancer Diagnosis Using Deep and Machine Learning Algorithms
  18. 7. AI-Optimized Active Cell Balancing Technique Using Single Inductor for Intelligent Battery Management in IoT-Enabled Energy Systems
  19. 8. Integrated Simulation and Hardware-in-the-Loop Analysis of ISO15118-Based Smart EV Charging Communication Systems
  20. 9. AI-Driven Analysis of Air Gap Eccentricity Effects in PMSM for Condition Monitoring in Smart Industrial Systems
  21. 10. Deep Convolutional Neural Network-Based Smart Diagnostic System for Enhanced Breast Cancer Detection
  22. Index