Deep Learning Applications with Practical Measured Results in Electronics Industries - Rilegato

Rilegato

ISBN 10: 3039288636 ISBN 13: 9783039288632

Casa editrice: MDPI AG, 2020

Riassunto

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.

Dettagli dell'edizione

• Editore: MDPI AG
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3039288636
• ISBN 13: 9783039288632
• Rilegatura: Copertina rigida
• Numero di pagine: 272
• Redattore: Horng Mong-Fong, Kung Hsu-Yang, Chen Chi-Hua
• Contatto del produttore: non disponibile
• Persona responsabile: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Germania