A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since it makes available the detection of proper nouns in unstructured texts. NER makes easier searching, retrieving, and extracting information seeing as the significant information in texts is usually sited around proper names. This paper suggests an efficient approach that can identify Nam...

This study aims to evaluate energy, economic, and environmental performances of seven categories of biodiesel feedstocks by using the mixed-unit input-output life cycle assessment method. Various feedstocks have different environmental performances, indicating potential environmental problem-shift. Jatropha seed, castor seed, waste cooking oil, and waste extraction oil are preferred feedstocks ...

Detecting human skin in color images is an interesting problem due to the potential number of target applications ranging from face detection to the detection of pornographic images. Many approaches have been proposed in literature including color tresholding, statistical skin color modeling and segmentation-based techniques. However, the performances often decrease in the presence of illuminat...

priming is one of the seed enhancement methods that might be resulted in increased seed performance (germination and emergence). the objective of this research was to evaluate effect of priming on seed emergence and yield under wide ranges sowing dates in cotton. treatments were combinations of 6 sowing dates and 2 seed treatments (control and primed seeds). hydropriming method was used; seeds ...

We present a highly effective and extremely simple noise-robust front end based on novel post-processing of standard MFCC features. It performs remarkably well on the Aurora 2.0 noisydigits database without requiring any increase in model complexity. Compared to the Aurora 2.0 baseline system, our technique improves the average word error rate by 45% in the multi-condition training case, (match...