Deep Learning Applications With Practical Measured Results In Electronics Indust

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 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.).