The purpose is to solve the problems of sparse data information, low recommendation precision and recall rate and cold start of the current tourism personalized recommendation system. First, a context based personalized...
Drawing on the conservation of resources (COR) theory, the authors investigate whether and how social support impacts the emotional labor of live streamers through professional identity. They also explore the boundary conditions...
In this study, the water-atmosphere interfaces distribution and concentration fluctuation intensities of polybrominated diphenyl ethers (PBDEs) in Great Lake were analyzed. Based on the selected significant quantum descriptors...
Deep learning has attracted more and more attention in speech recognition, visual recognition and other fields. In the field of image processing, using deep learning method can obtain high recognition rate. In this paper, the...
Public opinion surveys over the past thirty years show that public opinion is split on the issue of global warming. One of the problems with “solicited” opinion polls is that the findings may be selectively interpreted in favour...
At the end of 2019, the sudden attack of the COVID-19 brought huge challenges to the management, operation and development of listed companies. In view of the suddenness of the epidemic, the internal governance of listed...
Digital economy is a rapidly developing economic form under the background of the information age. This article introduces the construction and optimization of the green supply chain management model of agricultural enterprises...
Over the past decade, the dominant entrepreneurial form of urban governance has seriously hindered the transformation of cities by neglecting the role of urban contexts in shaping governance structures and outcomes. To promote...
The development of artificial intelligence technology has greatly helped social productivity and economic growth. At the same time, we have changed modern marketing methods, provided technical assistance for precision marketing...
This paper proposes an audio steganography method based on run length encoding and integer wavelet transform which can be used to hide secret message in digital audio. The major contribution of the proposed scheme is to propose...
The development of video steganography has put forward a higher demand for video steganalysis. This paper presents a novel steganalysis against discrete cosine/sine transform (DCT/DST)-based steganography for high efficiency...
It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. ...
Despite the promise of cross-border e-commerce, attracting consumers is still a worldwide challenge. Many cross-border e-commerce platforms have responded to the challenges by embracing innovative tools like live streaming....
This research reviews challenges in building sustainable relationships between the parties involved in the crowdfunding and crowdsourcing projects, which are running in extreme situations, such as the COVID-19 pandemic. This...
This study analyzes the economic and environmental performance of OECD countries over 2000–2019. A by-production approach is applied and the efficiency score is decomposed into its economic and environmental components. Unlike...
Business-to-business (B2B) e-marketplaces serve local small and medium-sized enterprises (SMEs) by assisting them in connecting with potential overseas buyers. They leverage multiple channels to connect with and bring potential...
In this paper, an intra-prediction mode (IPM)-based video steganography with secure strategy was proposed for H.264 video stream. First of all, according to the property of IPM conversion after calibration, a content-adaptive...
Technology search is crucial to establishing competitive advantage and improving firm performance. However, it is still unclear how different technology search strategies affect competitive advantage and performance at the firm...
Dental computed tomography (CT) images and optical surface scan data are widely used in dental computer-aided design systems. Registration is essential if they are used in software systems. Existing automatic registration...
Considering the mixed arguments and uncertainty about the payoff of cloud computing, this paper empirically studies the long-term cloud computing impact on the financial performance, specifically from the perspective of...
In order to further meet the diversified needs of customers and enhance market competitiveness, it is necessary for express delivery enterprises to carry out service innovation. From the perspective of customer demand, we...
This article presents the linear Proximal Support Vector Machine (PSVM) to the image steganalysis, and further generates a very efficient method called PSVM-LSMR through implementing PSVM by the state-of-the-art optimization...
This study aims to investigate how cognitive antecedents impact on social game addiction and virtual properties purchase among Generation Y players in Malaysia. Using a quantitative method with 341 Generation Y gamers and...
Using thermal tactile sensing mechanism based on semi-infinite body model, and combining with the advantages of maximum proportional controller, fuzzy and PID controller, a thermal tactile perception and reproduction experiment...
Nowadays, machine learning is popular in remote access Trojan (RAT) detection which can create patterns for decision-making. However, most research focus on improving the detection rate and reducing the false negative rate...