Название: Artificial Intelligence and Machine Learning for Smart CommunityАвтор: T.V. Ramana, G.S. Pradeep Ghantasala, R. Sathiyaraj, Mudassir Khan
Издательство: CRC Press
Год: 2024
Страниц: 182
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
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 presents the evolution, challenges, and limitations of the application of Machine Learning (ML) and Artificial Intelligence (AI) to intelligent systems and smart communities.
This book focuses on cutting-edge research in the area of smart applications of AI and ML, ranging from the fundamentals/concepts, novel algorithms, mathematical models, case studies, and so on. The primary objective of this book is to recognize the trends in the field of AI integrated with ML and to dig out various efficient solutions for promoting smart applications for a better society. This book investigates the recent technological advancements and achievements in the said area and aims to discover the recent trends in AI and ML to promote and publish original articles in the relevant field of integration of ML and AI in various aspects of smart applications. It will also provide research directions for AI and ML in terms of offering better solutions for a smart and safe society.
To speed up the task and achieve efficient results, various frameworks and libraries were used. By using these frameworks, training procedures have become easier as a result of their ease of use and their ability to modify the parameters of neural networks. Famous DL frameworks are Tensor Flow, Keras, Caffe, Pytorch, and so on.
• Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems
• Discusses the integration of artificial intelligence with machine learning using mathematical modeling
• Elaborates concepts like supervised and unsupervised learning, and Machine Learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices
• Introduces modern algorithms such as convolutional neural networks and support vector machines
• Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines
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. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of Artificial Intelligence and Machine Learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.
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