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Results: 23
Application of Gesture Recognition Based on Spatiotemporal Graph Convolution Network in Virtual Reality Interaction
Ting Liao
Feb 21, 2022
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...
Published by: IGI Global
Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning
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...
Published by: IGI Global
Lossless Data Hiding in LWE-Encrypted Domains Based on Key-Switching
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...
Published by: IGI Global
Bringing Arts Integration to Youth (BRAINY) at Colorado State University
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...
Published by: IGI Global
Asymmetric parameter enhancement in the split-ring cavity array for virus-like particle sensing.
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...
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Understanding Customer Motivation to Share Information in Social Commerce
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...
Published by: IGI Global
How Does User Social Network Improve Innovation Outcomes on a Virtual Innovation Platform?
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'...
Published by: IGI Global
Reversible Watermarking on Stereo Audio Signals by Exploring Inter-Channel Correlation
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...
Published by: IGI Global
Application of Artificial Intelligence Technology Optimized by Deep Learning to Rural Financial Development and Rural Governance
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...
Published by: IGI Global
An Enhanced Cascading Model for E-Commerce Consumer Credit Default Prediction
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...
Published by: IGI Global
Research and Analysis of Influence Maximization Techniques in Online Network Communities Based on Social Big Data
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...
Published by: IGI Global
Risk Measurement of the Financial Credit Industry Driven by Data
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...
Published by: IGI Global
Applying Horner's Rule to Optimize Lightweight MDS Matrices
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...
Published by: IGI Global
Broad Autoencoder Features Learning for Classification Problem
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...
Published by: IGI Global
Applying Machine Learning to the Development of Prediction Models for Bank Deposit Subscription
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...
Published by: IGI Global
Reversible Data Hiding in a Chaotic Encryption Domain Based on Odevity Verification
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...
Published by: IGI Global
The Evaluation of Competency-Based Diagnosis System and Curriculum Improvement of Information Management
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...
Published by: IGI Global
The “Mainstreaming” of Online Teaching and Conflicted Faculty Perceptions
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...
Published by: IGI Global
A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU
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...
Published by: IGI Global
Modeling Financial Supply Chain Planning Under COVID-19 Conditions for Working Capital Optimization Through Genetic Algorithm
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...
Published by: IGI Global