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The detection model is based on six sources of information.
The main FA detection model is based on Bayesian theorem at which four predictor parameters including PERSIANN rainfall estimations, brightness temperature (Tb), precipitable water (PW) and near surface air temperature (Tair) is considered as its input dataset.
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Their detection model was based on these structural paths and was found to be very effective at differentiating between malicious and benign PDF files, even against new unknown malicious files that were created two months after the classification model was built.
The detection ability of this model is based on the preferential and selective sensitivity of the chloroplast genetic apparatus to xenobiotics resulting in elimination of the functional chloroplast from the cells.
However, this model is based on a simple detection task in foveal vision using psychophysical data from laboratory conditions.
The model is based on multi-modal approach that incorporates PDR and signal strength as the detection parameters.
This model is based on the Exilim EX-Z330, which features a 12.1MP sensor, 3x optical zoom, face detection, Eye-Fi connectivity, HD recording, an SDHC/SD memory card slot, and a 2.7-inch LCD.
The proposed model is based on the Itti visual attention model [14], which is commonly used for the salient object detection in an optical image.
The program model is based on "Housing First".
This business model is based on "enough".
This model is based on four principles.
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