A linked data visualiser for finite element biosimulations
MetadataShow full item record
This item's downloads: 38 (view details)
Mehdi, M., Khan, Y., Freitas, A., Jares, J., Raza, S., Hasapis, P., & Sahay, R. (2016). A Linked Data Visualiser for Finite Element Biosimulations. Paper presented at the 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 4-6 Feb.
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological systems, with applications ranging from human ear, cardiovascular, to neurovascular research. Finite Element (FE) Biosimulation experiments produce huge amounts of numerical data. Visualizing and analyzing this huge numerical biosimulation data is a strenuous task. In this paper, we present a Linked Data Visualiser - called SIFEM Visualiser - to help domain-experts to Visualise, analyze and compare biosimulation results from heterogeneous, complex, and high volume numerical data. The SIFEM Visualiser aims to help domain scientists and clinicians exploring and analyzing Finite Element (FE) numerical data and simulation results obtained from different aspects of inner-ear (Cochlear) model - such as biological, geometrical, mathematical, and physical models. We validate the SIFEM Visualiser in both dimensions of qualitative and quantitative evaluation.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Advances in the Modelling of Facial Sub-Regions and Facial Expressions using Active Appearance Techniques Bacivarov, Ioana (2009-05-01)Advances are presented in the modeling of facial sub-regions, in the use of enhanced whole face-models, and based on these sub-region models, in the determination of facial expressions. Models are derived using techniques ...
Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been ...
Reiss, H.; Birchenough, S.; Borja, A.; Buhl-Mortensen, L.; Craeymeersch, J.; Dannheim, J.; Darr, A.; Galparsoro, I.; Gogina, M.; Neumann, H.; Populus, J.; Rengstorf, A. M.; Valle, M.; van Hoey, G.; Zettler, M. L.; Degraer, S. (Oxford University Press (OUP), 2014-06-19)Marine benthic ecosystems are difficult to monitor and assess, which is in contrast to modern ecosystem-based management requiring detailed information at all important ecological and anthropogenic impact levels. Ecosystem ...