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books
| 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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| on special |
normal price: R 4 816.95
Price: R 4 575.95
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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 |
Publisher | River Publishers
Published date | 8 May 2023
Language |
Format | Hardback
Pages | 362
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 839g
ISBN | 978-8-7702-2725-4
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 5 771.95
Price | R 5 483.95
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