TY - GEN
T1 - Demonstrating a Linked Data Visualiser for Finite Element Biosimulations
AU - Mehdi, Muntazir
AU - Khan, Yasar
AU - Freitas, Andre
AU - Jares, Joao
AU - Raza, Saleem
AU - Hasapis, Panagiotis
AU - Sahay, Ratnesh
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/22
Y1 - 2016/3/22
N2 - 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 applied in different biological systems ranging from human ear, cardiovascular, to neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework to simulate these dynamic biological systems. Visualizing and analyzing huge amounts of Finite Element (FE) Biosimulation numerical data is a strenuous task. In this paper, we demonstrate 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 healthcare experts in 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.
AB - 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 applied in different biological systems ranging from human ear, cardiovascular, to neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework to simulate these dynamic biological systems. Visualizing and analyzing huge amounts of Finite Element (FE) Biosimulation numerical data is a strenuous task. In this paper, we demonstrate 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 healthcare experts in 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.
UR - https://www.scopus.com/pages/publications/84968845859
U2 - 10.1109/ICSC.2016.97
DO - 10.1109/ICSC.2016.97
M3 - Conference Publication
T3 - Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016
SP - 174
EP - 175
BT - Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Semantic Computing, ICSC 2016
Y2 - 3 February 2016 through 5 February 2016
ER -