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.
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.
Mamoun Alazab is a professor at the Faculty of Science and
Technology, Charles Darwin University, Australia. His research is
multidisciplinary and focuses on cyber security, digital forensics
of computer systems, and cybercrime detection and prevention. He is
a senior member of the IEEE and Founding Chair of the IEEE Northern
Territory (NT) Subsection.
Meenu Gupta is an associate professor at the UIE-CSE Department,
Chandigarh University, India. Her areas of research include machine
learning, intelligent systems, and data mining, with a specific
interest in artificial intelligence, image processing and analysis,
smart cities, data analysis, and human/brain-machine interaction
(BMI). She has edited two books on healthcare and cancer diseases
and authored four engineering books. She is a reviewer for several
journals including Big Data, CMC, Scientific Report and TSP.
Shakeel Ahmed is an associate professor at the College of Computer
Sciences and Information Technology, King Faisal University, Saudi
Arabia. His areas of interest include software verification and
validation, mobile ad hoc networks, software engineering and cloud
computing. He has authored research papers in journals and IEEE
international conferences. He is a PC member for several
international conferences and a reviewer for quartile journals. He
holds a PhD in computer science from Indore University, India.
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