Artificial Intelligence in Cyber-Physical Systems: Principles and Applications

The Internet of Things (IoT) is a rapidly growing technology that connects devices to the internet, enabling them to collect and share data. It covers the latest applications of artificial intelligence, the internet of things, and the internet of everything, including IoT platforms, self-optimizing networks, security and privacy issues, deep learning, and reinforcement learning.

Format: Hardback
Length: 304 pages
Publication date: 16 March 2023
Publisher: Taylor & Francis Ltd

The following is the rephrased text:
The Internet of Things (IoT) is a rapidly evolving technology that encompasses a wide range of applications, including artificial intelligence (AI), the Internet of Things (IoT), and the Internet of Everything (IoE). This comprehensive guide delves into the latest developments and applications of these technologies, providing insights into their potential impact on various industries and society.

One of the key aspects of IoT is the Internet of Things (IoT) platform. This platform enables devices to connect and communicate with each other, allowing for the collection and analysis of data in real-time. Some of the most popular IoT platforms include Google Cloud Platform, Industrial IoT, and IoT gateways. These platforms provide a range of services and tools that enable businesses to leverage IoT technology to improve their operations, increase efficiency, and create new business opportunities.

Another important aspect of IoT is the development of self-optimizing networks. These networks are designed to adapt and optimize themselves based on changing conditions and requirements. Examples of self-optimizing networks include vehicular networks, sensor networks, and drone networks. These networks can improve traffic flow, reduce energy consumption, and enhance safety and security.

Security and privacy are critical issues in the IoT ecosystem. With the increasing number of connected devices, there is a growing risk of cyberattacks and data breaches. Blockchain security is one of the emerging solutions to address these issues. Blockchain is a distributed ledger technology that enables secure and transparent transactions between devices. It can be used to secure data storage, authentication, and communication in IoT applications.

Deep learning and reinforcement learning are two powerful technologies that are being used in IoT applications. Deep learning is a type of machine learning that involves training neural networks to recognize and classify patterns in data. It can be used to analyze sensor data, predict maintenance requirements, and optimize energy consumption. Reinforcement learning is a type of machine learning that involves learning from feedback and making decisions based on that feedback. It can be used to control autonomous devices, such as drones and robots, and optimize their performance.

In conclusion, the Internet of Things (IoT) is a rapidly evolving technology that has the potential to transform various industries and society. The development of IoT platforms, self-optimizing networks, and blockchain security are just some of the key aspects of IoT that are being explored and developed. Deep learning and reinforcement learning are two powerful technologies that are being used in IoT applications to improve efficiency, create new business opportunities, and enhance safety and security. As IoT technology continues to evolve, it is likely to have a significant impact on our daily lives and the way we interact with the world around us.

Weight: 770g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032164830