Artificial Intelligence

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Methodological framework for evaluating the generative capabilities of AI assisted CAD parametric modeling for AM
Emerging Research in Materials for Environment, and Civil Infrastructure, PDF eBook DRM Free
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Emerging Research in Materials for Environment, and Civil Infrastructure, color print, paperback
$125.00
Optimization of concrete durability using artificial intelligence: Modeling and prediction of eco-concrete performance with fly ash
Concrete strength prediction: Exploring an ensemble machine learning approach
Emerging Research in Materials for Environment, and Civil Infrastructure – GeoME 5.5
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Supervised autoencoder for fault detection and diagnosis in predictive maintenance of bearing ring grinding machine
Ultrasonic monitoring and machine learning integration for layer-by-layer defect detection in PBF-LB/M
A systematic review of industry 4.0 technologies in the production and manufacturing sector
Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management
Application of artificial neural networks (ANN) to evaluate centrifugal pump characteristics
Improved machine learning modeling for predicting shear capacity of RC deep beams