The task of providing an optimal analysis of the state of the atmosphere requires the development of dynamic data-driven systems (d3 as) that efficiently integrate the observationa...
Adrian Sandu, Emil M. Constantinescu, Wenyuan Liao...
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
Chemical information is now seen as critical for most areas of life sciences. But unlike Bioinformatics, where data is Openly available and freely re-usable, most chemical informa...
Peter Murray-Rust, John B. O. Mitchell, Henry S. R...