Spatial-temporal statistical approach to command and control problems in battle-space digitization
A Bayes approach for uncertainty bounds for a stochastic analysis of the Space Shuttle main engine
Decision-theoretic Monte Carlo smoothing for scaling tracking in hybrid dynamic systems
New initial basic probability assignments for multiple classifiers
Neural networks as instruments for automotive market segmentation
An intelligent system to detect drilling problems through drilled cuttings return analysis
Learning to enhance reliability of electronic systems through effective modeling and risk assessment
The application of Dempster-Shafer theory for landmine detection
Feature-enhancement of SAR images by Bayesian regularization
Fatigue life prediction using multivariate gaussian process
Autonomous helicopter control using reinforcement learning policy search methods
Classification of sonar signals using Bayesian networks
Design optimization for reliabiiity and robustness
System hardware and software reliability analysis