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| book details |
IoT-enabled Convolutional Neural Networks: Techniques and Applications
Edited by
Mohd Naved
, Edited by
V. Ajantha Devi
, Edited by
Loveleen Gaur
, Edited by
Ahmed A. Elngar
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| book description |
Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of things (IoT) devices pervade every aspect of modern life, it is becoming increasingly critical to run CNN inference, a computationally intensive application, on resource-constrained devices. Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc. Unlike other books on the market, this book covers the tools, techniques, and challenges associated with the implementation of CNN algorithms, computation time, and the complexity associated with reasoning and modelling various types of data. We have included CNNs' current research trends and future directions.
| product details |
Normally shipped |
Enquiries only
Publisher |
Taylor & Francis Ebooks
Published date |
8 May 2023
Language |
Format |
Digital (delivered electronically)
Pages |
408
Dimensions |
0 x 0 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-1-0008-7969-8
Readership Age |
BISAC |
computers / artificial intelligence
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The Ballerina and the Bull: Anarchist Utopias in the Age of Finance
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Paperback / softback
288 pages
was: R 323.95
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Fifteen Dogs
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176 pages
was: R 315.95
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