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» Intrusion detection techniques and approaches
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WSTST
2005
Springer
16 years 3 days ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
MVA
2010
126views Computer Vision» more  MVA 2010»
15 years 5 months ago
Rapid automated detection of roots in minirhizotron images
An approach for rapid, automatic detection of plant roots in minirhizotron images is presented. The problem is modeled as a Gibbs point process with a modified Candy model, in wh...
Guang Zeng, Stanley T. Birchfield, Christina E. We...
SMC
2010
IEEE
148views Control Systems» more  SMC 2010»
15 years 5 months ago
A random finite set based detection and tracking using 3D LIDAR in dynamic environments
—In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment. The system can reliably detect and track pedestrians t...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma, D. ...
BSN
2009
IEEE
121views Sensor Networks» more  BSN 2009»
16 years 1 months ago
Using Heart Rate Monitors to Detect Mental Stress
— This article describes an approach to detecting mental stress using unobtrusive wearable sensors. The approach relies on estimating the state of the autonomic nervous system fr...
Jongyoon Choi, Ricardo Gutierrez-Osuna
HPDC
2008
IEEE
16 years 1 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton