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» Neural network to identify individuals at health risk
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95
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IJCNN
2000
IEEE
15 years 5 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin
112
Voted
ICNSC
2007
IEEE
15 years 7 months ago
A Smart Vision Sensor for Detecting Risk Factors of a Toddler's Fall in a Home Environment
This paper presents a smart vision sensor for environmental hazards (such as slippery surfaces) and detecting risk factors of a toddler's fall in an indoor home perilous activ...
Hana Na, Sheng Feng Qin, David Wright
139
Voted
ASC
2007
15 years 1 months ago
Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
Abhinav Saxena, Ashraf Saad
309
Voted
INFOCOM
2012
IEEE
13 years 3 months ago
Di-Sec: A distributed security framework for heterogeneous Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are no longer a nascent technology and today, they are actively deployed as a viable technology in many diverse application domains such as health ...
Marco Valero, Sang Shin Jung, A. Selcuk Uluagac, Y...
112
Voted
RECOMB
2007
Springer
16 years 1 months ago
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
Yuhong Guo, Dale Schuurmans