While current manufacturing systems are built to avoid uncertainty, the increase of setup reconfiguration frequency and ever higher numbers of variants produced on the same syste...
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
This paper reports on advances in the design and development of a high-performance direct-drive joint for robotics and automation. The joint integrates a motor, a torque sensor and...
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...