Los Angeles, CA, United States, 14th Nov 2025 – createIT announced the introduction of its Generative Engine Optimization services, marking an early step into a developing area of digital visibility ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...
Olivera Ciraj Bjelac, IAEA Department of Nuclear Sciences and Applications To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a ...
Ten months after the luxury superyacht Bayesian sank off the coast of Sicily in a sudden storm, salvage crews managed to lift it 50 meters (164 feet) from the seabed on Friday afternoon, the company ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Abstract: Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box ...
Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces.
Numerical optimization plays a vital role in the design of complex engineered systems. Real world engineered systems are seldom designed based on a single objective; rather they involve multiple ...
Abstract: This article presents the guided Bayesian optimization (BO) algorithm as an efficient data-driven method for iteratively tuning closed-loop controller parameters using a digital twin of the ...
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