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» Detecting Fault Modules Using Bioinformatics Techniques
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ICIP
2004
IEEE
14 years 8 months ago
Steganalysis of quantization index modulation data hiding
Quantization index modulation (QIM) techniques have been gaining popularity in the data hiding community because of their robustness and information-theoretic optimality against a...
Kenneth Sullivan, Zhiqiang Bi, Upamanyu Madhow, Sh...
DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 8 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
AIR
2004
131views more  AIR 2004»
13 years 6 months ago
A Survey of Outlier Detection Methodologies
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
Victoria J. Hodge, Jim Austin
EAAI
2010
91views more  EAAI 2010»
13 years 6 months ago
A framework for on-line trend extraction and fault diagnosis
: Qualitative trend analysis (QTA) is a process-history-based data-driven technique that works by extracting important features (trends) from the measured signals and evaluating th...
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan ...
SIPS
2007
IEEE
14 years 1 months ago
SVD-Aided, Iteratively Detected Spatial Division Multiplexing Using Long-Range Channel Prediction
In this contribution iteratively detected spatial division multiplexing is investigated under the constraint of a fixed data throughput. Existing bit loading and transmit power a...
Andreas Ahrens, Wei Liu, Soon Xin Ng, Volker K&uum...