Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems (bibtex)

by George Kopsiaftis, Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Aristotelis Mantoglou

View PDF

Reference:

Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems (George Kopsiaftis, Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Aristotelis Mantoglou), In Frontiers in Water, volume 5, 2023.

Bibtex Entry:

@article{doi:10.3389/frwa.2023.1195029 ,
        call={Preparatory},
        acronym={MGML},
        fulltitle={Machine Learning in Groundwater Management },
        pi={George Kopsiaftis},
        affiliation={National Technical University of Athens},
        researchfield={Machine Learning in Groundwater Management },
        author = {George Kopsiaftis, Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Aristotelis Mantoglou},
        doi = {10.3389/frwa.2023.1195029 },
        url = {https://doi.org/10.3389/frwa.2023.1195029 },
        year = {2023},
        bibyear = {2023},
        journal = {Frontiers in Water},
        volume = {5},
        title = {Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems},
}