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Skip to Search Results- 3Gaussian Process Regression
- 1Acquisition function
- 1Black-box Function Optimisation
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- 1Compressive Strength
- 1Data-driven modeling
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Concrete Masonry Compressive Strength Prediction using Mechanics-based Modelling and Gaussian Process Regression with Error Evaluation based on Experimental Data
DownloadFall 2023
The compressive strength of masonry is an essential mechanical parameter considering its influence on structural design. Among different types of masonry, hollow concrete block masonry is the most commonly used one in North America. Over the past decades, various methods were developed to...
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Input Space Partitioning and Other Heuristics for Minimizing the Number of Corner Simulations During Design Verification
DownloadFall 2017
The continuing reduction in the feature sizes of the latest CMOS (Complementary Metal-Oxide-Semiconductor) technologies allow faster, more compact, and more energy-efficient integrated circuits (ICs). On the downside, the performance of each transistor becomes harder and harder to characterise...
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Robust Generalized Weighted Probabilistic Principal Component Regression with Application in Data-driven Optimization
DownloadSpring 2022
The operations of the plant may deviate from the initial design due to the uncertainties and changes in the several conditions as a result of market demand, operation conditions, and safety regulations over time. To maintain productivity, safety, and efficiency, operators should ensure the...