Efficient index construction in multidimensional data spaces is important for many knowledge discovery algorithms, because construction times typically must be amortized by perform...
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will ...
Sameer Shende, Allen D. Malony, Craig Edward Rasmu...
Subject to limited computational resource, feedback scheduling aims to improve, or to optimize, the global control performance of real-time control systems. For the system that co...