Deep Learning Applications with Practical Measured Results in Electronics Industries - Tapa dura

 
9783039288632: Deep Learning Applications with Practical Measured Results in Electronics Industries
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ISBN 10: 3039288636 ISBN 13: 9783039288632
Editorial: MDPI AG, 2020

Sinopsis

This book collects 14 articles from the Special Issue entitled "Deep Learning Applications with Practical Measured Results in Electronics Industries" of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.

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Editorial
MDPI AG
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3039288636
ISBN 13 
9783039288632
Encuadernación
Tapa dura
Número de páginas
272
Editor
Chen Chi-Hua, Kung Hsu-Yang, Horng Mong-Fong
Contacto del fabricante
no disponible
Persona responsable
Buchpark GmbH
gpsr@buchpark.de

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