Aiming at the low recognition rate of traditional gesture, a gesture recognition algorithm based on spatiotemporal graph convolution network is proposed in this paper. Firstly, the dynamic gesture data were preprocessed...
With the increasing amount of medical data and the high dimensional and diversified complex information, based on artificial intelligence and machine learning, a new way is provided that is multi-source, heterogeneous, high...
This paper proposes a lossless data hiding scheme in learning with errors (LWE)-encrypted domain based on key-switching technique. Lossless data hiding and extraction could be realized by a third party without knowing the...
In this chapter, the authors demonstrate how a university Art Education program assists the university art museum and trains students to lead tours for BRAINY (BRinging Arts INtegration to Youth), the museum's educational...
Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect...
The gradual emergence of social commerce is enhancing the development of businesses. The opinions exchanged and information shared by each consumer in the community affects consumers’ purchasing decisions and participation...
Previous studies demonstrate that online interactive relations can help improve users' innovation outcomes, yet few studies have investigated how they influence user innovation. This paper builds a social network based on users'...
A new reversible watermarking algorithm on stereo audio signals is proposed in this article. By utilizing correlations between two channels of audio signal, the authors segment one channel based on another one according to the...
The aim of this article is to promote the development of rural finance and the further informatization of rural banks. Based on DL (deep learning) and artificial intelligence technology, data pre-processing and feature selection...
As an important global policy guide to promote economic transformation and upgrading, the upsurge of E-Commerce has been continuously upgraded with continuous breakthroughs in information technology. In recent years, China’s...
Recent years, many online network communities, such as Facebook, Twitter, Tik Tok, Weibo, etc., have developed rapidly and become the bridge connecting physical social world and virtual cyberspace. Online network communities...
The risk measurement of financial credit industry is an important research issue in the field of financial risk assessment. The design of financial credit risk measurement algorithm can help investors avoid greater risks and...
This article is concerned with the problem of constructing lightweight MDS matrices. The authors present a new construction of 4 × 4 MDS matrices over GL(F2, m) for any integer m. They give sufficient and necessary conditions to...
Activation functions such as Tanh and Sigmoid functions are widely used in Deep Neural Networks (DNNs) and pattern classification problems. To take advantages of different activation functions, the Broad Autoencoder Features...
It is not easy for banks to sell their term-deposit products to new clients because many factors will affect customers’ purchasing decision and because banks may have difficulties to identify their target customers. To address...
On the premise of guaranteeing the visual effect, in order to improve the security of the image containing digital watermarking and restore the carrier image without distortion, reversible data hiding in chaotic encryption...
Teaching evaluation is an important issue in the learning process in higher education. In addition to the teaching evaluation on campus, feedback from alumni is also very important to instruction improvement. Undergraduates and...
The COVID-19 pandemic heavily accelerated the adoption of online education. Technology adoption literature indicates that individuals are motivated to adopt technology as a result of various factors including social influence...
Short text classification is a research focus for natural language processing (NLP), which is widely used in news classification, sentiment analysis, mail filtering and other fields. In recent years, deep learning techniques are...
The coordination of physical flows, information flows and financial flows is nowadays essential to guarantee economic profitability and ensure the company's sustainability. Time differences between physical operating flows and...
We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4 m telescope at the Kitt Peak National Observatory. Over the next 5 yr DESI MWS will observe...
Animal studies suggest that the apolipoprotein E ε4 (APOEε4) allele is a culprit of early microglial activation in Alzheimer's disease (AD). Here, we tested the association between APOEε4 status and microglial activation in...