In order to avoid long computational run times, physically pertinent trial functions are utilized.
Compared with the traditional high-throughput computational and experimental trial-and-error approach, the machine-learning chemisorption models have great potential in accelerating the discovery of interesting catalytic materials.
Michael made important contributions to many areas of statistical methodology including experimental design, clinical trials and computational statistics.
In this paper, an analysis of a convection-powered asphalt solar collector prototype is approached by the means of experimental trials and computational fluid dynamics (CFD) simulations in order to evaluate how to optimise its design for the reduction of high urban pavement temperatures.
In the near future, we will report the evaluation of our approach in the cases of various models, in addition to the reduction of computational time and the trials of model selection.
Extracting key trial characteristics from multiple document sources as early as possible in a trial's lifecycle, and again at subsequent critical lifecycle junctures such as journal publication, would allow for the most thorough capture of trial information for comprehensive computational support of the clinical trial knowledge management as envisioned in the HSDB Project.
The good results under very short computational time and none trial-and-error procedure demonstrate the feasibility of the proposed method.
We present an incremental learning system with less memory storage and computational cost for single-trial event-related potential (ERP) detection, which is trained using cross-session data.
Although scientists working in the field today have largely picked up skills along the way, there will be a massive increase in demand for translational researchers with computational, analytical, and clinical trial expertise who can turn data into concrete knowledge.
We should also note that while this paper makes progress towards developing a standardized computational representation for clinical trial workflow, much work remains to be done in order to establish a true standard representation.
