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ESWA
2007
96views more  ESWA 2007»
15 years 6 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
TC
2008
15 years 6 months ago
Implementing Synchronous Models on Loosely Time Triggered Architectures
Synchronous systems offer clean semantics and an easy verification path at the expense of often inefficient implementations. Capturing design specifications as synchronous models a...
Stavros Tripakis, Claudio Pinello, Albert Benvenis...
TII
2008
77views more  TII 2008»
15 years 6 months ago
The One-Shot Task Model for Robust Real-Time Embedded Control Systems
Embedded control systems are often implemented in small microprocessors enabled with real-time technology. In this context, control laws are often designed according to discrete-ti...
Camilo Lozoya, Manel Velasco, Pau Martí
TMI
2010
175views more  TMI 2010»
15 years 1 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ICPR
2006
IEEE
16 years 7 months ago
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
Mark Pupilli, Andrew Calway