The face, an important part of the body, conveys a lot information. When driver is in state fatigue, facial expressions, e.g., frequency blinking and yawning, are different from those normal state. In this paper, we propose system called DriCare, which detects drivers' fatigue status, such as blinking, duration eye closure, using video images, without equipping their bodies with devices. Owing to shortcomings previous algorithms, introduce new face-tracking algorithm improve tracking...

With the increasing volume of healthcare data, automated International Classification Diseases (ICD) has become increasingly relevant and is frequently regarded as a medical multi-label prediction problem. Current methods struggle to accurately classify diagnosis texts that represent deep sparse categories. Unlike these works model label with code hierarchy or description for prediction, we argue generation structural information can provide more comprehensive knowledge based on observation...

Mining and analyzing the information structure of DNA sequences is an important method exploring explaining mysteries biology. In addition to traditional biological detection methods for sequences, technological advances have allowed researchers utilize computers analyze such as in visualization. However, visualization techniques disadvantages, difficult operation complex calculation. Therefore, this paper, we propose algorithm called VARCH based on a variant map that part logic...

Abstract COVID-19 is outbreaking in worldwide. It caused millions of infections, killing hundreds thousands people and making all countries loss immeasurable trade. For finding the secret SARS-CoV-2, researchers need to analyze various variation information such as multiple coronaviruses different times over distinct countries. In this paper, metagenetic analysis system MAS used SARS-CoV-2 genomes collected from input datasets, special genomic indices are provided be a global characteristic...

A Milstein-type method is proposed for some highly non-linear non-autonomous time-changed stochastic differential equations (SDEs). The spatial variables in the coefficients of SDEs satisfy super-linear growth condition and temporal obey Hölder's continuity condition. strong convergence finite time studied order obtained.

Autoregressive models based on Transformers have become the prevailing approach for generating music compositions that exhibit comprehensive musical structure. These are typically trained by minimizing negative log-likelihood (NLL) of observed sequence in an autoregressive manner. However, when long sequences, quality samples from these tends to significantly deteriorate due exposure bias. To address this issue, we leverage classifiers differentiate between real and sampled sequences...

The method of ensuring the network security was usually based on stream cipher algorithms to encrypt information. One way testing quality a algorithm used NIST standard for testing. For shortcoming those detection methods that measure segment key streams, results were not systematic approaches. To improve these methods, measurement and visual scheme streams is hereby proposed, which utilizes in more accurate manner. By transforming data into 2D visualization maps, are visible show random...

Abstract COVID-19 is outbreaking in worldwide. It caused millions of infections, killing hundreds thousands people and making all countries loss immeasurable trade. For finding the secret SARS-CoV-2, researchers need to analyze various variation information such as multiple coronaviruses different times over distinct countries. In this paper, metagenetic analysis system MAS used SARS-CoV-2 genomes collected from input datasets, special genomic indices are provided be a global characteristic...

Based on the basic theory of labor market and compensation incentive, this paper deduces impact marketization performance financing platform, discusses differential effect platforms under different regional conditions, puts forward research hypothesis. This collected financial data 115 in Jiangsu Anhui provinces China from 2005 to 2020 for empirical analysis. Our finds that can improve platforms, will be larger if platform is a more developed region than less region. After further we find...

Abstract This research constructed a production-living-ecological function evaluation index system, used entropy method, land use transfer matrix, kernel density analysis and geodetector to evaluate the functions of 13 districts counties in China's Qilian Mountains for period 2000-2020. The results study showed: There are obvious spatial differences Mountains. production living rising. most advantaged areas northern part area where terrain is flat transportation convenient. ecological rises,...