Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...
Most of modern constraint modeling languages combine rich constraint languages with mathematical notations to tackle combinatorial optimization problems. Our purpose is to introduc...
—Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, repre...
Ranjit Randhawa, Clifford A. Shaffer, John J. Tyso...
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...