PERFORMANCE COMPARISON OF PHYSICS-BASED AND MACHINE LEARNING ASSISTED MULTI-FIDELITY METHODS FOR THE MANAGEMENT OF COASTAL AQUIFER SYSTEMS

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

In this work we investigate 2023 little mermaid cake the performance of various lower-fidelity models of seawater intrusion in coastal aquifer management problems.The variable density model is considered as the high-fidelity model and a pumping optimization framework is applied on a hypothetical coastal aquifer system in order to calculate the opti

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The importance of molecular characters when morphological variability hinders diagnosability: systematics of the moon jellyfish genus Aurelia (Cnidaria: Scyphozoa)

roue zonda disc Cryptic species have been detected across Metazoa, and while no apparent morphological features distinguish them, it should not impede taxonomists from formal descriptions.We accepted this challenge for the jellyfish genus Aurelia, which has a long and confusing taxonomic history.We demonstrate that morphological variability in Aure

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