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» Generic models in the advanced IRCM assessment model
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EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida
IJCNN
2007
IEEE
14 years 4 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
RSFDGRC
2009
Springer
14 years 4 months ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen
RECOMB
2006
Springer
14 years 10 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
14 years 4 months ago
Enhancing Software Modularity and Extensibility: A Case for using Generic Data Representations
— Portable, modular and extensible software allows robotics researchers to pool their resources by sharing algorithms, thus advancing research in the field of robotics at a fast...
Gregory Broten