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» Modelling of Complex Supply Networks
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JIRS
2008
100views more  JIRS 2008»
14 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
PERCOM
2007
ACM
15 years 9 months ago
Middleware Support for Quality of Context in Pervasive Context-Aware Systems
Middleware support for pervasive context-aware systems relieves context-aware applications from dealing with the complexity of context-specific operations such as context acquisit...
Kamran Sheikh, Maarten Wegdam, Marten van Sinderen
GLVLSI
2009
IEEE
154views VLSI» more  GLVLSI 2009»
15 years 4 months ago
Design of a maximum-likelihood detector for cooperative communications in intersymbol interference channels
Recently, cooperative communication has attracted a lot of attention for its potential to increase spatial diversity. However, limited attention has been paid to the physical laye...
Yanjie Peng, Andrew G. Klein, Xinming Huang
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
15 years 4 months ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
IJCNN
2007
IEEE
15 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz