Difference between revisions of "Projects"
From hpcwiki
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| − | |style="background-color:#406a20;color:#ffffff;width:50%;"|'''Environment''' | + | |style="background-color:#406a20;color:#ffffff;width:50%;"|'''Climate and Environment''' |
|style="background-color:#406a20;color:#ffffff;width:50%;"|'''Neuromotor system''' | |style="background-color:#406a20;color:#ffffff;width:50%;"|'''Neuromotor system''' | ||
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* [[Data characterization| Land cover reconstruction and characterization]] | * [[Data characterization| Land cover reconstruction and characterization]] | ||
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* MSc. Projects: [[Botany image collection navigation, extraction and visualization]] | * MSc. Projects: [[Botany image collection navigation, extraction and visualization]] | ||
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* [[Estudio del efecto de la posición y longitud de la fasciotomía en el compartimento Tibial Anterior]] | * [[Estudio del efecto de la posición y longitud de la fasciotomía en el compartimento Tibial Anterior]] | ||
* [[Análisis viscoelástico del músculo en ensayos isométricos]] | * [[Análisis viscoelástico del músculo en ensayos isométricos]] | ||
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| + | * [[System for plague detection support based on a virtual entomological collection]] | ||
* [[Leaf morphology adaptations in response to enviromental stress conditions in tropical vegetation]] | * [[Leaf morphology adaptations in response to enviromental stress conditions in tropical vegetation]] | ||
* [[Drone based surveillance for catastrophic events]] | * [[Drone based surveillance for catastrophic events]] | ||
Revision as of 16:28, 9 April 2017
Contents |
Macro Projects
- Atmospheric pattern dynamics characterization and extraction
- Neuromotor and motor disability characterization and rehabilitation
Current projects
Project Formulation
Projectos anteriores
- Comparative Morphological Analysis of Brain Structures
- Brain Network Analysis
- Biomechanical Brain Simulation by FEA
- RestLib: A library for rsFMRI analysis
- Resting state brain activity system identification framework (RestSYSID)
- Coocurrence and non-linear characterization of multiple RSN in Disorder of Consciousness
- Learning hemometabolic maps from PET
- Data driven determination of the level of consciousness from EEG
- Extended dual regression for account for inidivual variabilites in groupICA
- Machine learning based multimodal classification for Disorder of Consciousness
- Leaf morphology adaptations in response to enviromental stress conditions in tropical vegetation
- Drone based surveillance for catastrophic events
- Automatic classification of morphometric features in leaves
