Titlebook: Data Science in Engineering Vol. 10; Proceedings of the 4 Thomas Matarazzo,François Hemez,Austin Downey Conference proceedings 2025 The Soc

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Markov Chain Monte Carlo on Matrix Manifolds for Probabilistic Model Order Reduction,probabilistic case, within the Bayesian framework. We present a method to draw samples from a given target distribution defined on various matrix manifolds. The collected samples can be used to propagate uncertainty on the reduction matrix and other quantities of interest.

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,A Machine Learning–Based Damage Estimation Model for Monitoring Reinforced Concrete Structures,frastructure. As a phenomenon, when structures are loaded, AE sensors mounted on the surface of the structure receive the waves released from the damage and convert them into electrical signals. By analyzing and evaluating these recorded signals, critical information such as type, location, time of

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Adaptive Radio Frequency Target Localization,c devices and search and rescue. This recently has been done using a greedy approach, where a sensor is moved closer to the target after each measurement. However, this does not allow for other constraints, such as maintaining a fixed distance from the target or optimization of energy consumption. S

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Estimation of Acoustic Emission Arrival Time in Concrete Structures Using Convolutional Neural Netwing buildings, bridges, pipelines, and storage tanks. It relies on analyzing the acoustic activity, primarily associated with cracking phenomena, to assess structural integrity. However, one crucial parameter derived from AE signals is the time of arrival (ToA) of acoustic events, which is challengi

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2191-5644 nth volume of ten from the Conference brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:.. .Novel Data-driven Analysis Metho

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