Artificial Intelligence
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Optimization of concrete durability using artificial intelligence: Modeling and prediction of eco-concrete performance with fly ash
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Concrete strength prediction: Exploring an ensemble machine learning approach
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Emerging Research in Materials for Environment, and Civil Infrastructure – GeoME 5.5
Price range: $0.00 through $125.00 -

Supervised autoencoder for fault detection and diagnosis in predictive maintenance of bearing ring grinding machine
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Ultrasonic monitoring and machine learning integration for layer-by-layer defect detection in PBF-LB/M
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A systematic review of industry 4.0 technologies in the production and manufacturing sector
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Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management
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Application of artificial neural networks (ANN) to evaluate centrifugal pump characteristics
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Improved machine learning modeling for predicting shear capacity of RC deep beams
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Analysis of the efficiency of pneumatic actuator regulation in selected production processes using artificial intelligence, graph algorithms, and probabilistic methods, taking into account failure rates and return on investment costs