Hyperparameter tuning design of performance indicators prediction for hydrogen fuel cells based on Bayesian optimisation with AIGC
YT Song, YN Sun, JY Zhu, HB Qiao… - Journal of Engineering …, 2024 - Taylor & Francis
Hydrogen fuel cells often encounter unstable performance and anomalies during operation,
highlighting the need for continuous condition monitoring and iterative design …
highlighting the need for continuous condition monitoring and iterative design …
Multi-step modeling of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in …
In this research, a multi-step modeling approach is followed using unsupervised and deep
learning algorithms to interpret the geophysical well-logging data for improved …
learning algorithms to interpret the geophysical well-logging data for improved …
Hydrochemical and Deep Learning Investigations of Groundwater-Surface Water Interactions in the Eogenetic Karst Systems of Florida
KA Compare - 2024 - search.proquest.com
This dissertation implements three studies related to understanding the impacts of
groundwater-surface water interactions on both the aquatic geochemistry and water quantity …
groundwater-surface water interactions on both the aquatic geochemistry and water quantity …