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» Complex networks as control paradigm for complex systems
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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 6 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
3DGIS
2006
Springer
15 years 11 months ago
Reconstruction of Complex Buildings using LIDAR and 2D Maps
The extraction of the building models from remote-sensed data is an important work in the geographic information systems. This investigation describes an approach to integrate LIDA...
Tee-Ann Teo, Jiann-Yeou Rau, Liang-Chien Chen, Jin...

Publication
448views
17 years 4 months ago
Congestion Control using Multilevel Explicit Congestion Notification
Congestion remains one of the main obstacles to the Quality of Service (QoS) on the Internet. We think that a good solution to Internet congestion should optimally combine congesti...
Arjan Durresi, Leonard Barolli, Raj Jain, Makoto T...
IJON
2002
154views more  IJON 2002»
15 years 5 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
15 years 11 months ago
On the Limits of Bottom-Up Computer Simulation: Towards a Nonlinear Modeling Culture
1 In the complexity and simulation communities there is growing support for the use of bottom-up computer-based simulation in the analysis of complex systems. The presumption is th...
Kurt A. Richardson