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» Distance Functions to Detect Changes in Data Streams
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JCIT
2010
156views more  JCIT 2010»
13 years 3 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
AEI
2010
136views more  AEI 2010»
13 years 8 months ago
Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing
nizing multiple forms of information and knowledge processing on different levels of abstraction in a structured and principled manner. We propose knowledge processing middleware a...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
BMCBI
2006
172views more  BMCBI 2006»
13 years 8 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
IGARSS
2009
13 years 6 months ago
Improving NDVI Time Series Class Separation using an Extended Kalman Filter
It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...
Waldo Kleynhans, J. Corne Olivier, Brian P. Salmon...
RTSS
2006
IEEE
14 years 2 months ago
Voice over Sensor Networks
Wireless sensor networks have traditionally focused on low duty-cycle applications where sensor data are reported periodically in the order of seconds or even longer. This is due ...
Rahul Mangharam, Anthony Rowe, Raj Rajkumar, Ryohe...