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» Using Data Mining to Estimate Missing Sensor Data
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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 6 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
ADHOCNOW
2009
Springer
16 years 19 days ago
SenSearch: GPS and Witness Assisted Tracking for Delay Tolerant Sensor Networks
Abstract— Mobile wireless sensor networks have to be robust against the limitations of the underlying platform. While lightweight form factor makes them an attractive choice for ...
Lun Jiang, Jyh-How Huang, Ankur Kamthe, Tao Liu, I...
IGARSS
2010
15 years 3 months ago
The use of spatial constraints in the derivation of mesoscale sea surface current fields from multi-sensor satellite data
Sequential multi-sensor satellite images are used for the computation of mesoscale surface currents in the Northern and Southern Baltic Proper. Different marine surface films and ...
Benjamin Seppke, Martin Gade, Leonie S. Dreschler-...
ICANNGA
2007
Springer
133views Algorithms» more  ICANNGA 2007»
16 years 5 days ago
Finding the Optimal Path in 3D Spaces Using EDAs - The Wireless Sensor Networks Scenario
Abstract. In wireless sensor networks where sensors are geographically deployed in 3D spaces, a mobile robot is required to travel to each sensor in order to download the data. The...
Bo Yuan, Maria E. Orlowska, Shazia Wasim Sadiq
ICCCN
2008
IEEE
16 years 13 days ago
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks
Abstract— The paper describes a target tracking system running on a Heterogeneous Sensor Network (HSN) and presents results gathered from a realistic deployment. The system fuses...
Manish Kushwaha, Isaac Amundson, Péter V&ou...