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Deep Learning Applications with Practical Measured Results in Electronics Industries

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 a...

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Bibliographic Details
Main Author: Kung, Hsu-Yang
Other Authors: Chen, Chi-Hua, Horng, Mong-Fong, Hwang, Feng-Jang
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Visual Tracking
Machine Learning
Supervised Learning
Intelligent Tire Manufacturing
Tire Quality Assessment
Multiple Constraints
Forecasting
Unmanned Aerial Vehicle
Binary Classification
Oral Evaluation
Human Computer Interaction
Faster Region-based Cnn
Kinematic Modelling
Data Fusion
Deep Learning
Generative Adversarial Network
Underground Mines
Gated Recurrent Unit
Intelligent Surveillance
Neural Networks
History Of Engineering And Technology / Bicssc
Hyperspectral Image Classification
Foreign Object
Data Partition
Instance Segmentation
Residual Networks
Unsupervised Learning
Tire Bubble Defects
Neural Audio Caption
Content Reconstruction
Ga
Saliency Information
Dot Grid Target
Transfer Learning
Rigid Body Kinematics
Reinforcement Learning
Mcm Uncertainty Evaluation
Digital Shearography
Information Measure
Multiple Linear Regression
Discrete Wavelet Transform
Background Model
Image Restoration
Imaging Confocal Microscope
K-means Clustering
Image Compression
Update Mechanism
Least Squares Method
Geometric Errors Correction
Multivariate Time Series Forecasting
Uav
Smart Grid
Nonlinear Optimization
Eye-tracking Device
Offshore Wind
Compressed Sensing
Neighborhood Noise Reduction
Cnn
Humidity Sensor
Trajectory Planning
Long Short-term Memory
Neuro-fuzzy Systems
Gsa-bp
Computational Intelligence
Optimization Techniques
Image Inpainting
Lateral Stage Errors
A*
Geometric Errors
Update Occasion
Multivariate Temporal Convolutional Network
Network Layer Contribution
Recommender System
Convolutional Network
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:1 electronic resource (272 p.)
ISBN:9783039288632
books978-3-03928-864-9
9783039288649

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