Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 194 pp. Englisch. Bestandsnummer des Verk�ufers 9789819753642

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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

V. Ajantha Devi

Verlag: Springer Nature Singapore, Springer Nature Singapore, 2024

ISBN 10: 9819753643 ISBN 13: 9789819753642

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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verk�ufers 9789819753642

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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications (Hardcover)

V. Ajantha Devi

Verlag: Springer Verlag, Singapore, 2024

ISBN 10: 9819753643 ISBN 13: 9789819753642

Neu Hardcover

Anbieter: Grand Eagle Retail, Fairfield, OH, USA

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Hardcover. Zustand: new. Hardcover. 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, braincomputer 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. This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9789819753642

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