NICOP - Analytical and Numerical Methods for Identifying Principal Components of Heterogeneous Physical Data

Abstract

The objective of this NICOP project is the development and assessment of analytical and numerical methods for identifying principal components from heterogeneous physical data, for application in ship hydrodynamics, hydroelasticity, and naval systems. The long-term objective is the establishment of rigorous methods for a better assessment, understanding, representation, dimensionality reduction, and prediction of the physics of complex phenomena, such as those involved in the operation of military ships, subject to a variety of environmental and operating conditions. This document summarizes the project achievements (final technical report).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1134382

Entities

People

  • Andrea Serani
  • Matteo Diez

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Data Science
  • Dimensionality Reduction
  • Engineering
  • Fluid Dynamics
  • Geometry
  • Hulls (Marine)
  • Information Science
  • Information Systems
  • Machine Learning
  • Marine Engineering
  • Neural Networks
  • Operations Research
  • Recurrent Neural Networks
  • Reliability

Readers

  • Marine Hydrodynamics
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.