Biomedical-named entity recognition (bNER) is critical in biomedical informatics. It identifies
biomedical entities with special meanings, such as people, places, and organizations, as …

The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …

In this paper, in order to solve the problem of un-rigorous scrambling method and single
diffusion method in image encryption, a new method based on arithmetic sequence …

Underwater images, which have low contrast and visibility as a result of selective attenuation
based on the wavelength of the light passing through water, needs some corrections to …

Accurate prediction of wind power is crucial for optimizing wind energy utilization and
ensuring the secure, cost-effective, and stable operation of power systems. To address this …

Sentence semantic matching (SSM) always plays a critical role in natural language
processing. Measuring the intrinsic semantic similarity among sentences is very challenging …

BERT, a boon to natural language understanding, extracts the context information of words
and forms the basis of the newly-designed sentiment classification framework for Chinese …

© 2020 Tech Science Press. All rights reserved. Atrial fibrillation is the most common
persistent form of arrhythmia. A method based on wavelet transform combined with deep …

Existing approaches in online health question answering (HQA) communities to identify the
quality of answers either address it subjectively by human assessment or mainly using …

By summarizing longer consumer health questions into shorter and essential ones, medical
question-answering systems can more accurately understand consumer intentions and …