Moreover, Climate Wizard is not a static product, but rather a data analysis framework designed to be used for climate change impact and adaption planning, which can be expanded to include other information, such as downscaled future projections of hydrology, soil moisture, wildfire, vegetation, marine conditions, disease, and agricultural productivity.
Here, we propose a data analysis framework-Temporal microstructure of cortical networks (TMCN -that answers TMCN -thattions for EEG/MEG recordings in the signanswerse.
We introduce a data-analysis framework and performance metrics for evaluating and optimizing the interaction between activation tasks, experimental designs, and the methodological choices and tools for data acquisition, preprocessing, data analysis, and extraction of statistical parametric maps (SPMs).
A Bayesian method for estimation of a hazard term structure is presented in a functional data analysis framework.
A big data analysis framework to effectively retrieve and calculate required information from dynamic BIMs in the data center for various applications by MapReduce distributed computing was proposed this study.
One product was an enhanced data analysis framework, based on the Hadoop software used by Internet companies for Big Data analysis.
This work is an important step towards a comprehensive PTA/TTA data analysis framework for multi-phase production wells.
All machine learning technique implementations stem from a fully automated data analysis framework Glaab et al. (2009), which has previously been employed in variety of bioscientific studies (Bassel et al., 2011; Glaab et al., 2010; Habashy et al., 2011).
Nonparametric IRT models [[ 20, 21] and [ 22]] provide a broad-spectrum and flexible data analysis framework for investigating a set of polytomously scored items and determining ordinal scales for measurement that include items that have changeable locations and sufficient discrimination power [ 23].
Here, we present a systematic and rapid genomics data analysis framework, which integrates DNA, RNA and tissue data to identify clinically relevant biomarkers for neuroblastoma.
We showcased here our novel data analysis framework in a topical biological setting and provided solid hypotheses for further experimental work in this field.
