Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Veres, Galina"'
Autor:
Voulodimos, Athanasios, Kosmopoulos, Dimitrios, Veres, Galina, Grabner, Helmut, Van Gool, Luc, Varvarigou, Theodora
Publikováno v:
In Neural Networks 2011 24(8):852-860
The Office of National Statistics (ONS) contracted the University of Southampton to conduct research concerning the use of statistical and data science methods for the automatic detection of outliers and anomalies in Census data. This project conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::a1ae45fe0a9dbe4c60fa08921211e9ba
https://eprints.soton.ac.uk/451775/
https://eprints.soton.ac.uk/451775/
Scientific drilling of the volcanic ocean crust recovers cores and undertakes downholewireline logging. However, because core recovery rates are typically low (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::3acf122376cd58d487b8a83a5db059bd
https://eprints.soton.ac.uk/421908/
https://eprints.soton.ac.uk/421908/
Scalable big data platform, mining and analytics services for optimized forecast of animals habitats
Autor:
Sabeur, Zoheir, Correndo, Gianluca, Castel, F., Neumann, Geoffrey, Veres, Galina, Arbab-Zavar, Banafshe
The effects of climate change have been observed for decades now that we can access to multiple methods of Earth Observation (EO) using in situ, air-borne and space-borne sensing. The generated EO Big Data from these sources is of paramount importanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::45295f09379f9b8d8d833bb563ca0983
https://eprints.soton.ac.uk/421909/
https://eprints.soton.ac.uk/421909/
Autor:
Sabeur, Zoheir, Correndo, Gianluca, Veres, Galina, Arbab-Zavar, Banafshe, Neumann, Geoffrey, Ivall, Thomas D, Castel, F, Zigna, J M, Lorenzo, J.
Climate change has been observed using multiple methods of Earth Observation (EO) including in situ, air-borne and space-borne sensing methods. These use multi-modal observation platforms, with various geospatial coverages, spatio-temporal resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::98f0ce9bca1927987bdc1eab3bcc18f1
https://eprints.soton.ac.uk/416802/
https://eprints.soton.ac.uk/416802/
Autor:
Veres, Galina, Sabeur, Zoheir
This paper provides benchmarks for the identification of best performance classifiers for the detection of operational states in industrial drilling operations. Multiple scenarios for the detection of the operational states are tested on a rig with v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::35d4990d97e59b9c525864dd0650205d
https://eprints.soton.ac.uk/376585/
https://eprints.soton.ac.uk/376585/
Autor:
Engen, Vegard, Veres, Galina, Hall-May, M., Chenot, Jean-Hugues, Bauer, Christoph, Bailer, Werner, Hoffernig, Martin, Houpert, Jorg
This is the final report from the DAVID project on IT-based tools, strategies and risk management for digital Audio-visual (AV) preservation.Digitised and born-digital AV content presents new challenges for preservation and long-term quality assuranc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::dab3daf9e322c352dc898d86d9cb6ef6
https://eprints.soton.ac.uk/376158/
https://eprints.soton.ac.uk/376158/
This paper proposes an approach to assessing risks related to audiovisual (AV) preservation processes through gathering and representing metadata. We define a model for process metadata, which is interoperable with both business process models and ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1726::476d9a71fcef1c90791b270d09886fa4
https://hdl.handle.net/11353/10.378710
https://hdl.handle.net/11353/10.378710
This paper proposes an approach to assessing risks related to audiovisual (AV) preservation processes through gathering and representing metadata. We define a model for process metadata, which is interoperable with both business process models and ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1726::1492f14e04cd0a14604f1b4d7de05b7c
https://hdl.handle.net/11353/10.378709
https://hdl.handle.net/11353/10.378709