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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

Name: Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications
Brand: Springer, Berlin
SKU: 9789819753642
Price: 169.78 EUR
Availability: InStock

Autor: V. Ajantha Devi

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

169.78 €

This book provides a structured presentation of machine learning related to vision, speech, and natu...

Informácie o knihe

Autor

V. Ajantha Devi

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2024

Stránok

350

EAN

9789819753642

Enbook ID

46150409

Vydavateľ

Springer, Berlin

Hmotnosť

424

Rozmery

155 x 235

Kompletný popis

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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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

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