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Deep Learning Applications with Practical Measured Results in Electronics Industries

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Palabras clave – provistas por la editorial

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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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03928-864-9

País de edición

Suiza

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