Multimodal Intelligent Sensing in Modern Applications
eBook - PDF

Multimodal Intelligent Sensing in Modern Applications

  1. 320 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Multimodal Intelligent Sensing in Modern Applications

About this book

Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text

The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things.

Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future.

Multimodal Intelligent Sensing in Modern Applications readers will also find:

  • Contributions from multidisciplinary contributors in wireless communications, signal processing, and sensor design
  • Coverage of both software and hardware solutions to sensing challenges
  • Detailed treatment of advanced topics such as efficient deployment, data fusion, machine learning, and more

Multimodal Intelligent Sensing in Modern Applications is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G/6G networks. It can also act as an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.

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Yes, you can access Multimodal Intelligent Sensing in Modern Applications by Masood Ur Rehman,Ahmed Zoha,Muhammad Ali Jamshed,Naeem Ramzan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. About the Editors
  8. List of Contributors
  9. Preface
  10. Chapter 1 Advances in Multi-modal Intelligent Sensing
  11. 2 Antennas for Wireless Sensors
  12. 3 Sensor Design for Multimodal Environmental Monitoring
  13. 4 Wireless Sensors for Multi-modal Health Monitoring
  14. 5 Sensor Design for Industrial Automation
  15. 6 Hybrid Neuromorphic-Federated Learning for Activity Recognition Using Multi-modal Wearable Sensors
  16. 7 Multi-modal Beam Prediction for Enhanced Beam Management in Drone Communication Networks
  17. 8 Multi-modal-Sensing System for Detection and Tracking of Mind Wandering
  18. 9 Adaptive Secure Multi-modal Telehealth Patient-Monitoring System
  19. 10 Advances in Multi-modal Remote Infant Monitoring Systems
  20. 11 Balancing Innovation with Ethics: Responsible Development of Multi-modal Intelligent Tutoring Systems
  21. 12 Road Ahead for Multi-modal Intelligent Sensing in the Deep Learning Era
  22. Index
  23. EULA