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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.

faster region-based CNN --- visual tracking --- intelligent tire manufacturing --- eye-tracking device --- neural networks --- A* --- information measure --- oral evaluation --- GSA-BP --- tire quality assessment --- humidity sensor --- rigid body kinematics --- intelligent surveillance --- residual networks --- imaging confocal microscope --- update mechanism --- multiple linear regression --- geometric errors correction --- data partition --- Imaging Confocal Microscope --- image inpainting --- lateral stage errors --- dot grid target --- K-means clustering --- unsupervised learning --- recommender system --- underground mines --- digital shearography --- optimization techniques --- saliency information --- gated recurrent unit --- multivariate time series forecasting --- multivariate temporal convolutional network --- foreign object --- data fusion --- update occasion --- generative adversarial network --- CNN --- compressed sensing --- background model --- image compression --- supervised learning --- geometric errors --- UAV --- nonlinear optimization --- reinforcement learning --- convolutional network --- neuro-fuzzy systems --- deep learning --- image restoration --- neural audio caption --- hyperspectral image classification --- neighborhood noise reduction --- GA --- MCM uncertainty evaluation --- binary classification --- content reconstruction --- kinematic modelling --- long short-term memory --- transfer learning --- network layer contribution --- instance segmentation --- smart grid --- unmanned aerial vehicle --- forecasting --- trajectory planning --- discrete wavelet transform --- machine learning --- computational intelligence --- tire bubble defects --- offshore wind --- multiple constraints --- human computer interaction --- Least Squares method

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As the most heavily populated areas in the world, coastal zones host the majority and some of the most important human settlements, infrastructures and economic activities. Harbour and coastal structures are essential to the above, facilitating the transport of people and goods through ports, and protecting low-lying areas against flooding and erosion. While these structures were previously based on relatively rigid concepts about service life, at present, the design—or the upgrading—of these structures should effectively proof them against future pressures, enhancing their resilience and long-term sustainability. This Special Issue brings together a versatile collection of articles on the modelling of harbour and coastal structures, covering a wide array of topics on the design of such structures through a study of their interactions with waves and coastal morphology, as well as their role in coastal protection and harbour design in present and future climates.

beach morphology --- beach nourishment performance --- sustainable development --- General Shoreline beach model --- United Arab Emirates --- Saadiyat Island --- breakwater --- extreme learning machine --- stability assessment --- machine learning --- column-stabilized fish cage --- horizontal wave force --- least squares method --- hydrodynamic coefficient --- vertical breakwater --- reliability analysis --- overall stability --- sliding failure --- overturning failure --- bearing capacity analysis --- breakwater’s foundation failure --- rubble-mound --- zero-freeboard --- porous-media --- immersed-boundary --- level-set --- Smagorinsky subgrid scale model --- wave reflection --- wave transmission --- wave overtopping --- wave setup --- Nowshahr port --- field measurements --- numerical simulation --- wave --- current --- sediment transport --- rubble mound breakwaters --- historical review --- damage measurement --- damage characterization --- damage --- damage model --- damage progression --- input reduction --- wave schematization --- pick-up rate --- MIKE21 CM FM --- long-term morphological modelling --- numerical model --- OpenFOAM --- scour --- vertical breakwaters --- mortar-grouted riprap revetment --- full-scale hydraulic tests --- design of revetments --- Balearic Islands --- Boumerdès --- current speed --- harbor --- tsunami --- model uncertainty --- reliability --- pile settlement --- piles in granular soil --- base resistance --- skin friction --- t-z curves --- climate change --- coastal flooding --- coastal structures --- numerical modelling --- Boussinesq equations --- n/a --- breakwater's foundation failure --- Boumerdès