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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

Language EnglishEnglish
Book Hardback
Book Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications V. Ajantha Devi
Libristo code: 46150409
Publishers Springer, Berlin, October 2024
This book provides a structured presentation of machine learning related to vision, speech, and natu... Full description
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This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.

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About the book

Full name Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications
Language English
Binding Book - Hardback
Date of issue 2024
Number of pages 350
EAN 9789819753642
Libristo code 46150409
Publishers Springer, Berlin
Weight 424
Dimensions 155 x 235
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