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CEC
2003
IEEE
13 years 9 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
SSDBM
2008
IEEE
146views Database» more  SSDBM 2008»
13 years 10 months ago
Kriging for Localized Spatial Interpolation in Sensor Networks
Abstract. The presence of coverage holes can adversely affect the accurate representation of natural phenomena being monitored by a Wireless Sensor Network (WSN). Current WSN resea...
Muhammad Umer, Lars Kulik, Egemen Tanin
JSAC
2006
112views more  JSAC 2006»
13 years 4 months ago
Network Kriging
ABSTRACT. Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
ISPAN
2009
IEEE
13 years 11 months ago
Temperature Control Framework Using Wireless Sensor Networks and Geostatistical Analysis for Total Spatial Awareness
— This paper presents a novel framework for intelligent temperature control in smart homes using Wireless Sensor Networks (WSN) and geostatistical analysis for total spatial awar...
Charles C. Castello, Jeffrey Fan, Asad Davari, Rue...
EWSN
2009
Springer
14 years 4 months ago
The Minimum Number of Sensors - Interpolation of Spatial Temperature Profiles in Chilled Transports
Wireless sensor networks are an important tool for the supervision of cool chains. Previous research with a high number of measurement points revealed spatial temperature deviation...
Reiner Jedermann, Walter Lang