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Full Description
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) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner.
In this edited book, the contributors present challenges, technologies, applications and future trends of AIoT in realizing smart and intelligent environments, including frameworks and methodologies for applying AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques, and practical implementations to enhance future smart environment systems. Chapters cover a broad range of applications including smart cities, smart transportation and smart agriculture.
This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.
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
