Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications discusses the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. It covers core and fundamental aspects of AI, machine learning, and computational algorithms, discusses the integration of AI with machine learning, and introduces modern algorithms such as convolutional neural networks and support vector machines. The book is primarily written for graduate students and academic researchers working in computer science and engineering, electrical engineering, and information technology.

Format: Hardback
Length: 164 pages
Publication date: 26 January 2024
Publisher: Taylor & Francis Ltd

Intelligent systems are cutting-edge machines that possess the capability to perceive and react to their surroundings. These advanced systems are driven by the power of artificial intelligence and machine learning, enabling them to analyze vast amounts of data and make informed decisions.

Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications delves into the evolution, challenges, and limitations of applying machine learning and artificial intelligence to intelligent systems and smart communities. It provides a comprehensive overview of the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems.

The book discusses the integration of artificial intelligence with machine learning through mathematical modeling, highlighting concepts such as supervised and unsupervised learning, and machine learning algorithms like linear regression, logistic regression, random forest, and performance evaluation matrices. It also introduces modern algorithms such as convolutional neural networks and support vector machines.

The book presents case studies on various applications of smart technology, including smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern communities, and smart machines. These case studies showcase the practical implementations of AI and ML in real-world scenarios, highlighting their potential to improve efficiency, productivity, and quality of life.

Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. It offers a comprehensive and up-to-date understanding of the latest research and developments in the field, providing valuable insights for those seeking to advance their knowledge and expertise in this rapidly evolving area.

In conclusion, Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is a comprehensive reference text that provides a deep dive into the application of artificial intelligence and machine learning to intelligent systems and smart communities. It offers a wealth of information and insights, making it an essential resource for students, researchers, and professionals in the field.

Weight: 500g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032526065