Deep Learning

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Machine Learning Methods and Hybrid Models in Supply Chain Forecasting
Deep learning-based monitoring of laser beam direct energy deposition to detect deviations in process conditions
Image-assimilation of deformed dual-phase steel microstructure via U-net deep learning
Wind turbine structure health monitoring through zero-shot learning with supervised variational autoencoders
LFFNet: Layered feature fusion network enhanced passive infrared structural analysis in large-scale geomembrane covers
Predicting membrane strains with a deep learning encoder-decoder convolutional neural network architecture trained on synthetic finite element data
AI-Based PV Panels Inspection using an Advanced YOLO Algorithm
A comprehensive review on computing methods for the prediction of energy cost in Kingdom of Saudi Arabia
Deep learning-based spacecraft pose estimation for the pre-capture phase scenario
Digital optics and machine learning algorithms for aircraft maintenance
The prospects of implementation of artificial intelligence for modelling of microstructural parameters in metal forming processes
Material Forming – ESAFORM 2024, PDF eBook DRM Free
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