AIoT Technologies and Applications for Smart Environments

Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) appli...

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Bibliographic Details
Main Authors Alazab, Mamoun, Gupta, Meenu, Ahmed, Shakeel
Format eBook
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 2022
Institution of Engineering & Technology
Institution of Engineering and Technology
Edition1
SeriesIET Computing series
Subjects
Artificial intelligence
Computer networking & communications
COMPUTERS
Data capture & analysis
Database Management
Internet of things
Networking
Online AccessGet full text
ISBN9781839536335
1839536330
DOI10.1049/PBPC057E

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Table of Contents:
  • Chapter 1: Introduction to AIoT for smart environments -- Chapter 2: Research challenges in smart environments -- Chapter 3: Applications-oriented smart cities based on AIoT emerging technologies -- Chapter 4: Use of smartphones application to identify pedestrian barriers around existing metro stations in Noida -- Chapter 5: A hybrid segmentation process for effective disease classification for smart agriculture -- Chapter 6: AIoT-based water management and IoT-based smart irrigation system: effective in smart agriculture -- Chapter 7: Adaptive smart farming system using Internet of Things (IoT) and artificial intelligence (AI) modeling -- Chapter 8: Time series data air quality prediction using Internet of Things and machine learning techniques -- Chapter 9: Role of AIoT-based intelligent automation in robotics, UAVs, and drones -- Chapter 10: AIoT-based waste management systems -- Chapter 11: AIoT technologies and applications for smart environments -- Chapter 12: AIoT-based e-commerce -- Chapter 13: AIoT-based smart education and online teaching -- Chapter 14: Autonomous UAV with obstacle management using AIoT: a case study on healthcare application -- Chapter 15: Effective learning-based attack detection methods for the Internet of Things -- Chapter 16: Future perspectives of AI-driven Internet of Things