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Found 2 papers, 1 papers with code
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Finally, the spatial and temporal accuracy of both ML models were examined at sites with the lowest coastal water quality.
Accelerating the computation of FLAPW methods on heterogeneous architectures
In previous work, the computational bottleneck of FLEUR was partially re-engineered to have a modular design that relies on standard building blocks, namely BLAS and LAPACK.
Distributed, Parallel, and Cluster Computing Computational Engineering, Finance, and Science Mathematical Software
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