The University of Southampton
University of Southampton Institutional Repository

Artificial intelligence and mathematical models for intelligent management of aircraft data

Artificial intelligence and mathematical models for intelligent management of aircraft data
Artificial intelligence and mathematical models for intelligent management of aircraft data
Knight, P.
0fc43494-7df3-4f1d-8dc0-6e1bd28a3929
Azzam, H.
794981f5-8f3e-4ec7-aa2e-83a7ab0eebe8
Newman, S.J.
802c97ed-ea28-477f-8b1e-8e4f873c4281
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340
Knight, P.
0fc43494-7df3-4f1d-8dc0-6e1bd28a3929
Azzam, H.
794981f5-8f3e-4ec7-aa2e-83a7ab0eebe8
Newman, S.J.
802c97ed-ea28-477f-8b1e-8e4f873c4281
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340

Knight, P., Azzam, H., Newman, S.J. and Chipperfield, Andrew (2008) Artificial intelligence and mathematical models for intelligent management of aircraft data. First International Conference On Prognostics And Health Management, , Denver, United States. 06 - 09 Oct 2008.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2008
Venue - Dates: First International Conference On Prognostics And Health Management, , Denver, United States, 2008-10-06 - 2008-10-09

Identifiers

Local EPrints ID: 470263
URI: http://eprints.soton.ac.uk/id/eprint/470263
PURE UUID: 71d9fa14-b9ec-4f92-aa1f-638a706bd4de
ORCID for Andrew Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 05 Oct 2022 16:38
Last modified: 06 Oct 2022 01:38

Export record

Contributors

Author: P. Knight
Author: H. Azzam
Author: S.J. Newman

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×