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Showing 1 to 5 of 5 for “"Level Set Method (LSM)"”.

  1. Statistical field estimation and scale estimation for complex coastal regions and archipelagos

    … the spatially irregular and multivariate data sets that are collected by varied instruments and sampling schemes. In this work, we derive and utilize new schemes for the mapping and dynamical inference of ocean fields in complex multiply-connected domains, study the computational properties of …

    mit Repository record for Statistical field estimation and scale estimation for complex coastal regions and archipelagos (opens in a new tab)

  2. Computational analysis of viscoelastic free surface flows

    … tools are being sought to replace old methods of testing. This research has been concerned with the development of a finite volume algorithm for viscoelastic flow which can be readily applied to real world applications. A major part of the research involved the implementation of the …

    greenwich Repository record for Computational analysis of viscoelastic free surface flows (opens in a new tab)

  3. A Runge Kutta Discontinuous Galerkin-Direct Ghost Fluid (RKDG-DGF) Method to Near-field Early-time Underwater Explosion (UNDEX) Simulations

    … adiabatic flow, the fluid flow is governed by a set of Euler fluid equations. In practical simulations, we often encounter computational difficulties that include large displacements, shocks, multi-fluid flows with cavitation, spurious waves reflecting from boundaries and fluid-structure …

    vt Repository record for A Runge Kutta Discontinuous Galerkin-Direct Ghost Fluid (RKDG-DGF) Method to Near-field Early-time Underwater Explosion (UNDEX) Simulations (opens in a new tab)

  4. Novel image processing and deep learning methods for head and neck cancer delineation from MRI data

    … Novel image processing and deep learning method for head and neck cancer delineation from MRI data are presented. Firstly, a head and neck ALNs segmentation pipeline including pre-processing of MRI data, knowledge-based detection, and extraction of 3D volume of ALNs is presented. Secondly, …

    strathclyde Repository record for Novel image processing and deep learning methods for head and neck cancer delineation from MRI data (opens in a new tab)

  5. The prediction of bubble defects in castings

    … He has developed a hybrid (Donor-acceptor/ Level Set) method, which captures the characteristics of gas bubbles based on the surface tension —fluid inertia balance on the free surface. He has demonstrated the ability of this method to reproduce observed phenomena. The candidate also …

    greenwich Repository record for The prediction of bubble defects in castings (opens in a new tab)