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In this paper the development of a computer application for the prediction of an ice bank system operation is presented.
This paper describes the neural network (NN) application for the prediction of the total electron content (TEC) over Chumphon, an equatorial latitude station in Thailand.
However, the clinical utility of this application for the prediction of type 2 diabetes needs to be tested and validated.
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The parameters of the G-A model are critical in applications for the prediction of infiltration and associated rainfall-runoff processes.
To functionally characterize AS events, we used InterProScan which contains 14 applications for the prediction of protein domains (21), including Pfam for the prediction of protein domains (22), SignalP 3.0 for signal peptide predictions (23) and TMHMM (24) for the predictions of transmembrane domains.
Recall that our application is for the prediction of the mechanical properties of polymer composite, and we used supervised learning.
Here, we highlighted a variety of systems biology applications for advancing the prediction of effective drug combinations, as summarized in Table 2.
This work presents a new two-phase capillary pressure/saturation model for application to the prediction of primary drainage and imbibition relations in fractional wettability media.
The literature is replete with works on the application of ANNs for the prediction of properties of engineering materials.
This paper presents a successful extension of this model that allows for its application to the prediction of the internal air temperature of free-running buildings with double skin façades.
In this paper, we present a Bayesian method to model dispersal using spatial configuration and climatic data (distances between emitters and receptors; main wind direction) while accounting for uncertainty, with an application to the prediction of adventitious presence rate of genetically modified maize (GM) in a non-GM field.
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