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» Neural network to identify individuals at health risk
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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 1 months ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria
CONCURRENCY
2010
127views more  CONCURRENCY 2010»
13 years 7 months ago
Extreme scalability challenges in micro-finite element simulations of human bone
Coupling recent imaging capabilities with microstructural finite element (microFE) analysis offers a powerful tool to determine bone stiffness and strength. It shows high potentia...
Constantine Bekas, Alessandro Curioni, Peter Arben...
KES
2005
Springer
14 years 27 days ago
On Self-organising Diagnostics in Impact Sensing Networks
Abstract. Structural health management (SHM) of safety-critical structures requires multiple capabilities: sensing, assessment, diagnostics, prognostics, repair, etc. This paper pr...
Mikhail Prokopenko, Peter Wang, Andrew Scott, Vadi...
ESOA
2006
13 years 11 months ago
Hybrid Multi-agent Systems: Integrating Swarming and BDI Agents
The individual agents that interact in a multi-agent system typically exist along a continuum ranging from heavyweight cognitive agents (often of the "BDI" type) to light...
H. Van Dyke Parunak, Paul Nielsen, Sven Brueckner,...
CSB
2005
IEEE
202views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Head and Neck Cancer Metastasis Prediction via Artificial Neural Networks
Cancers in head and neck tends to spread to nearby lymph nodes. Lymph nodes trap the spreading tumor cells but then the tumor starts to grow in these nodes and then spread further...
Eveleen Darby, Tezeswari Nettimi, Shilpa Kodali, L...