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This noncausal predictive method can predict data in a single pass.
As shown in Section 3.4, the proposed prediction method can predict a pixel with its four immediate pixels, and all the pixels can be predicted completely with original pixels as context.
Our method can predict B-factors with good predictive quality even when the predictions from NNcon have relatively low accuracy; this could be explained by the results in Table 2 that suggest that correct contacts can be found with a small offset in the sequence.
This method can predict the NDZ of IDM but not the detection time.
The proposed method can predict the vision output image of any retina with known photoreceptors distribution.
The results indicate that the proposed method can predict the load deflection behaviour satisfactorily.
In particular, the method can predict the acoustic waves generated by microwave irradiation.
In addition, our method can predict 11 novel cancer-associated lncRNAs, which are supported by literature evidence.
This method can predict the wavefront distortion and beam quality for various optical arrangements and optimize the design effectively.
The result shows that the new soft FCM-LSSVM-PLS ensemble method can predict NOx emission accurately.
The method can predict the rate of translation initiation for every start codon in an mRNA transcript.
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