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Results: 20
Circular LBP Prior-Based Enhanced GAN for Image Style Transfer
Image style transfer (IST) has drawn broad attention recently. At present, convolutional neural network (CNN)-based methods and generative adversarial network (GAN)-based methods have been broadly utilized in IST. However, the...
Published by: IGI Global
Influential Factors of Knowledge Sharing of Multinational E-Health Service Based on 24HrKF
In order to solve the problem of cross-time and cross-regional medical collaboration and distributed knowledge sharing across patients and medical teams for 24 hours a day in the context of global resource allocation, a new...
Published by: IGI Global
Digital Barriers and Individual Coping Behaviors in Distance Education During COVID-19
Isabel Gan, Rui Sun
Jan 01, 2022
Information and communication technologies (ICT) have played a pivotal role in facilitating knowledge acquisition and enabling distance education. Yet, knowledge about digital divide in distance education remains limited. This...
Published by: IGI Global
Two-Step Image-in-Image Steganography via GAN
Recently, convolutional neural network has been introduced to information hiding and deep net- work has shown great potential in steganography. However, one drawback of deep network is that it’s sensitive to small fluctuations....
Published by: IGI Global
Statistical Downscaling of Rainfall using Large-Scale Predictors
A warmer climate is expected to lead to more serious natural disasters, such as heavy storms, prolonged droughts and frequent floods. For a high-density urban region, the flash flood problem may become worse due to possible...
Hidden Service Circuit Reconstruction Attacks Based on Middle Node Traffic Analysis
Traffic analysis is widely considered as an attack posing a threat to anonymity of the communication and may reveal the real identity of the users. In this paper, a novel anonymous circuit reconstruction attack method that...
Published by: IGI Global
Adversarial Reconstruction CNN for Illumination-Robust Frontal Face Image Recovery and Recognition
This article proposes an adversarial reconstruction convolution neural network (ARCNN) for non-uniform illumination frontal face image recovery and recognition. The proposed ARCNN includes a reconstruction network and a...
Published by: IGI Global
WGAN-Based Image Denoising Algorithm
Traditional image denoising algorithms are generally based on spatial domains or transform domains to denoise and smooth the image. The denoised images are not exhaustive, and the depth-of-learning algorithm has better denoising...
Published by: IGI Global
Evaluating Agricultural Food Supply Chain Resilience in the Context of the COVID-19 Pandemic
With the spread of the global COVID-19 pandemic, agricultural food supply chains (AFSC) have suffered from unprecedented challenges and disruption. AFSC must possess extremely high levels of resilience when confronted by the...
Published by: IGI Global
Empirical Comparative Study of Wearable Service Trust Based on User Clustering
Users of wearable services are different in age, occupation, income, education, personality, values and lifestyle, which also determine their different consumption patterns. Therefore, for the trust of wearable services, the...
Published by: IGI Global
Lane Detection Algorithm Based on Road Structure and Extended Kalman Filter
Lane detection still demonstrates low accuracy and missing robustness when recorded markings are interrupted by strong light or shadows or missing marking. This article proposes a new algorithm using a model of road structure...
Published by: IGI Global
Face Anonymity Based on Facial Pose Consistency
With the development of artificial intelligence, there are more and more applications related to face images. The recording of face information causes potential cyber security risks and personal privacy disclosure risks to the...
Published by: IGI Global
Factors Influencing Consumer Intention to Subscribe to the Premium Music Streaming Services in China
This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to...
Published by: IGI Global
The Analysis of Two-Way E-Commerce Credit Evaluation Model Based on the C2C Mode
As an important mode of e-commerce, C2C has become a trading mechanism favored by consumers. However, for C2C transaction in a virtual environment, there is an issue of congenital transaction asymmetry, leading to increased...
Published by: IGI Global
A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications
Security and privacy issues in wireless medical sensor networks (WMSNs) have attracted lots of attention in both academia and industry due to the sensitiveness of medical system. In the past decade, extensive research has been...
Published by: IGI Global
Towards the Customers' Intention to Use QR Codes in Mobile Payments
This research studies the motivation of customers to choose the QR code as a payment tool by developing an integrated model based on UTAUT 424 valid responses were collected from diversified socio-economic backgrounds to...
Published by: IGI Global
Big Data Analytics Capability and Business Alignment for Organizational Agility
This paper investigates the impact of big data analytics capability (BDAC) on organizational agility under the moderating effect of BDAC–business alignment and its impact on performance through organizational agility. Data from...
Published by: IGI Global
A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications
Security and privacy issues in wireless medical sensor networks (WMSNs) have attracted lots of attention in both academia and industry due to the sensitiveness of medical system. In the past decade, extensive research has been...
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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