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Research Interests: Bioinformatics, Computer Science, Algorithms, Data Mining, Computational Biology, and 15 moreGenetic Algorithms, Biology, Genetic Algorithm, Biological Sciences, Brain Mapping, Brain, Humans, Cerebral Cortex, Clustering, Data, Cortex, Cluster Analysis, Coclustering, Gas, and Diffusion magnetic resonance imaging
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The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connections between neuronal structures and measurements of brain... more
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connections between neuronal structures and measurements of brain activity in vivo have given rise to the concepts of anatomical and functional connectivity, which have been useful for our understanding of brain mechanisms and their plasticity. However, at present there is no generally accepted computational framework for the quantitative assessment of cortical ...
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Recently, there has been an increasing need in scientific workflows to solve the shimming problem, the use of a special kind of adaptors, called shims, to link related but incompatible workflow tasks. However, existing techniques produce... more
Recently, there has been an increasing need in scientific workflows to solve the shimming problem, the use of a special kind of adaptors, called shims, to link related but incompatible workflow tasks. However, existing techniques produce scientific workflows that are cluttered with many visible shims, which distract a scientist's focus on functional components. Moreover, these techniques do not address a new type of shimming problem that occurs due to the incompatibility between the ports of a task and the inputs/outputs of ...
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With ever-improving information technologies and high performance computational power, recent techniques in granular computing, soft computing and cognitive science have allowed an increasing understanding of normal and abnormal brain... more
With ever-improving information technologies and high performance computational power, recent techniques in granular computing, soft computing and cognitive science have allowed an increasing understanding of normal and abnormal brain functions, especially ...
Research Interests: Genetics, Cognitive Science, Information Technology, Computational Intelligence, Pattern Recognition, and 11 moreSoft Computing, Neural Network, Genetic Algorithm, Quantitative analysis, Granular Computing, High performance, Fuzzy Neural Network, Quantitative Analysis, Artificial Neural Network, Information System, and Hybrid intelligent system
Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex and distributed scientific processes to enable and accelerate many scientific discoveries. In contrast to business workflows,... more
Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex and distributed scientific processes to enable and accelerate many scientific discoveries. In contrast to business workflows, which are typically control flow oriented, scientific workflows tend to be dataflow oriented, introducing a new set of requirements for system development. These requirements demand a new architectural design for scientific workflow management systems (SWFMSs). Although several ...