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Könyv Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications V. Ajantha Devi

Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

Szerző: V. Ajantha Devi
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
64 923 Ft
This book provides a structured presentation of machine learning related to vision, speech, and natu...

Információk a könyvről

Szerző
V. Ajantha Devi
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2024
oldal
350
EAN
9789819753642
Enbook ID
46150409
Kiadó
Springer, Berlin
Súly
424
Méretek
155 x 235

Teljes leírás

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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