Paper Info
Title
Intelligent grid enabled services for neuroimaging analysis.
Abstract
This paper reports our work in the context of the neuGRID project in the development of intelligent services for a robust and efficient Neuroimaging analysis environment. neuGRID is an EC-funded project driven by the needs of the Alzheimer's disease research community that aims to facilitate the collection and archiving of large amounts of imaging data coupled with a set of services and algorithms. By taking Alzheimer's disease as an exemplar, the neuGRID project has developed a set of intelligent services and a Grid infrastructure to enable the European neuroscience community to carry out research required for the study of degenerative brain diseases. We have investigated the use of machine learning approaches, especially evolutionary multi-objective meta-heuristics for optimising scientific analysis on distributed infrastructures. The salient features of the services and the functionality of a planning and execution architecture based on an evolutionary multi-objective meta-heuristics to achieve analysis efficiency are presented. We also describe implementation details of the services that will form an intelligent analysis environment and present results on the optimisation that has been achieved as a result of this investigation.
Year
DOI
Venue
2013
10.1016/j.neucom.2013.01.042
Neurocomputing
Keywords
Field
DocType
Intelligent services,Machine learning and genetic algorithms,Grid enabled planning and execution,Service oriented architecture,Neuroimaging analysis
Data science,Architecture,Computer science,Artificial intelligence,Neuroimaging,Grid,Service-oriented architecture,Machine learning,Salient
Journal
Volume
Issue
ISSN
122
1
0925-2312
Citations 
PageRank 
References 
5
0.49
22
Authors
7
Name
Order
Citations
PageRank
Richard McClatchey137366.62
Irfan Habib2445.85
Ashiq Anjum333338.33
Kamran Munir49013.08
Andrew Branson59913.15
Peter Bloodsworth68810.74
Saad Liaquat Kiani723520.17