This　editorial　introduces　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:　(I)　environmental　information　analyses　and　predictions,　(II)　unmanned　aerial　vehicle　(UAV)　and　object　tracking　applications,　(III)　measurement　and　denoising　techniques,　and　(IV)　recommendation　systems　and　education　systems.　Four　papers　on　environmental　information　analyses　and　predictions　are　as　follows:　(1)　＂A　Data-Driven　Short-Term　Forecasting　Model　for　Offshore　Wind　Speed　Prediction　Based　on　Computational　Intelligence＂　by　Panapakidis　et　al.;　(2)　＂Multivariate　Temporal　Convolutional　Network:　A　Deep　Neural　Networks　Approach　for　Multivariate　Time　Series　Forecasting＂　by　Wan　et　al.;　(3)　＂Modeling　and　Analysis　of　Adaptive　Temperature　Compensation　for　Humidity　Sensors＂　by　Xu　et　al.;　(4)　＂An　Image　Compression　Method　for　Video　Surveillance　System　in　Underground　Mines　Based　on　Residual　Networks　and　Discrete　Wavelet　Transform＂　by　Zhang　et　al.　Three　papers　on　UAV　and　object　tracking　applications　are　as　follows:　(1)　＂Trajectory　Planning　Algorithm　of　UAV　Based　on　System　Positioning　Accuracy　Constraints＂　by　Zhou　et　al.;　(2)　＂OTL-Classifier:　Towards　Imaging　Processing　for　Future　Unmanned　Overhead　Transmission　Line　Maintenance＂　by　Zhang　et　al.;　(3)　＂Model　Update　Strategies　about　Object　Tracking:　A　State　of　the　Art　Review＂　by　Wang　et　al.　Five　papers　on　measurement　and　denoising　techniques　are　as　follows:　(1)　＂Characterization　and　Correction　of　the　Geometric　Errors　in　Using　Confocal　Microscope　for　Extended　Topography　Measurement.　Part　I:　Models,　Algorithms　Development　and　Validation＂　by　Wang　et　al.;　(2)　＂Characterization　and　Correction　of　the　Geometric　Errors　Using　a　Confocal　Microscope　for　Extended　Topography　Measurement,　Part　II:　Experimental　Study　and　Uncertainty　Evaluation＂　by　Wang　et　al.;　(3)　＂Deep　Transfer　HSI　Classification　Method　Based　on　Information　Measure　and　Optimal　Neighborhood　Noise　Reduction＂　by　Lin　et　al.;　(4)　＂Quality　Assessment　of　Tire　Shearography　Images　via　Ensemble　Hybrid　Faster　Region-Based　ConvNets＂　by　Chang　et　al.;　(5)　＂High-Resolution　Image　Inpainting　Based　on　Multi-Scale　Neural　Network＂　by　Sun　et　al.　Two　papers　on　recommendation　systems　and　education　systems　are　as　follows:　(1)　＂Deep　Learning-Enhanced　Framework　for　Performance　Evaluation　of　a　Recommending　Interface　with　Varied　Recommendation　Position　and　Intensity　Based　on　Eye-Tracking　Equipment　Data　Processing＂　by　Sulikowski　et　al.　and　(2)　＂Generative　Adversarial　Network　Based　Neural　Audio　Caption　Model　for　Oral　Evaluation＂　by　Zhang　et　al.