Sustainable IoT and Data Analytics Enabled Machine Leaing Techniques and Applications (Contributions to Environmental Sciences & Innovative Business Technology)

by: V. Ajantha Devi (Editor)

Publisher: Springer

Edition: 2024th

Publication Date: 2024/9/28

Language: English

Print Length: 182 pages

ISBN-10: 9819753643

ISBN-13: 9789819753642

Book Description

This book provides a structured presentation of machine leaing related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine leaing 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 Inteet of things (IoT) and artificial intelligence. Active research trends and future directions of machine leaing under big data analytics are also discussed. Machine leaing 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.

About the Author

This book provides a structured presentation of machine leaing related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine leaing 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 Inteet of things (IoT) and artificial intelligence. Active research trends and future directions of machine leaing under big data analytics are also discussed. Machine leaing 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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