Industrial waste residues are increasingly reutilized in the preparation of cemented paste
backfill for reducing the cost of mine filling. Therefore, to promote the utilization of the bulk …

Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …

Turbulence intensity in offshore environments has significant effects on the performance of
offshore wind turbines. To maximize output power of offshore wind turbines within a limited …

Soil moisture is a key indicator for studying the exchange of energy and matter in the soil–
plant–atmosphere circulation system. With the rapid development of GNSS base station …

Data science and machine learning (ML) techniques are employed to shed light into the
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …

In view of the requirements on control precision of autonomous underwater vehicles (AUVs)
in different operations, the improvement of AUV motion control accuracy is the focus of this …

The multi-fidelity surrogate (MFS) model that integrates high-fidelity and low-fidelity data is a
promising and powerful tool for tackling complex modeling problem. There are two essential …

The dimensional tolerances greatly impact the structural-electromagnetic performance of
spaceborne synthetic aperture radar (SAR) antenna. However, few works have conducted …

Agricultural carbon emissions significantly contribute to global greenhouse gases.
Enhancing green and low-carbon agricultural practices is crucial for China's high-quality …

Resided at the intersection of multifidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …