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Vinh Pham, Maxim Tyan, Tuan Anh Nguyen and Jae-Woo Lee
Multi-fidelity surrogate modeling (MFSM) methods are gaining recognition for their effectiveness in addressing simulation-based design challenges. Prior approaches have typically relied on recursive techniques, combining a limited number of high-fidelity...
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Khalid Alnajim and Ahmed A. Abokifa
In the wake of the terrorist attacks of 11 September 2001, extensive research efforts have been dedicated to the development of computational algorithms for identifying contamination sources in water distribution systems (WDSs). Previous studies have ext...
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Nicholas Wright, Piaras Kelly, Oliver Maclaren, Ruanui Nicholson and Suresh Advani
Predict race-tracking strength in an RTM process using minimal pressure sensor measurements and position the sensors optimally throughout the preform in order to do so.
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Dagoberto Castellanos-Nieves and Luis García-Forte
Automated machine learning (AutoML), which aims to facilitate the design and optimization of machine-learning models with reduced human effort and expertise, is a research field with significant potential to drive the development of artificial intelligen...
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Yunfei Gao, Guogui Huang, Yinxi Li, Junyuan Zhang, Zeng Yang and Meng Wang
Homogenization methods can characterize the mechanical properties of these materials based on appropriate constitutive models and data. They are also applied to the characterization of mechanical parameters under complex geotechnical conditions in geotec...
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