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ISSN: 2666-7649
CN: 61-1530/TN
p-ISSN: 2097-3187

User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education

Metaverse, once a concept confined to science fiction, has emerged as a transformative reality during the digital era. As this immersive virtual world gains prominence, the role of avatars and the digital...

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Trust and involvement of Cameroonian software developers in open-source projects

Although recent studies have examined collaboration within open-source software projects, the focus has primarily been on their motivations and governance. This study explores the complex dynamics of...

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Will China’s carbon-trading policy foster coordinated innovation in green technologies?

Accelerating green innovation is crucial for achieving high-quality development in China. Despite this importance, empirical evidence on the harmonization techniques in the context of carbon-trading...

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Trust framework for self-sovereign identity in metaverse healthcare applications

The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems. Conversely, as concerns about safeguarding personal privacy mount,...

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Bibliometric analysis of the art market: From art price to market efficiency

This study addresses a significant gap in the existing literature by conducting a comprehensive systematic review of the art market over the past 50 years, utilizing big data analysis and bibliometric...

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Analysis of digital twin and its physical object: Exploring the efficiency and accuracy of datasets for real-world application

The concept of digital twin (DT) has recently gained popularity due to its ability to create a virtual representation of systems in order to improve the performance of its cyber-physical counterpart....

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Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence

Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods...

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Quality of life issues in rural settlements: Assessment by social media users

Disparity in the quality of life of people living in rural and urban areas is among the major problems, often leading to greater depression among the rural population compared to those in urban areas...

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The dynamics of multidimensional educational poverty

Education is a cornerstone in promoting the overall welfare of individuals and plays a pivotal role in shaping their lives. As the developing world grapples with the multifaceted challenges of poverty,...

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Application of user preference mining algorithms based on data mining and social behavior in brand building

Small and medium-sized enterprises currently suffer from a lack of branding. Therefore, to further promote their active branding, this study proposes a user preference mining algorithm based on data...

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Public Data Openness and Stock Price Crash Risk: Evidence from a Quasi-Natural Experiment of Government Data Platforms

Public data serves as a fundamental pillar in the advancement of the digital economy. Its importance for unlocking the value associated with information asymmetry has attracted substantial attention...

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Challenges and Prospects of Artificial Intelligence in Aviation: Bibliometric Study

The primary motivation for this study is the recent growth and increased interest in artificial intelligence (AI). Despite the widespread recognition of its critical importance, a discernible scientific...

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L2R-MLP: A Multilabel Classification Scheme for the Detection of DNS Tunneling

Domain name system (DNS) tunneling attacks can bypass firewalls, which typically "trust" DNS transmissions by concealing malicious traffic in the packets trusted to convey legitimate ones, thereby making...

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Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction

Accelerating urbanization and the rapid development of intelligent transportation systems have rendered short-term traffic flow prediction an important research field. Accurate prediction of traffic...

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Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation

Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans. It usually appears in locations that are exposed to the sun, but can also...

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Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss

Prediction methods have garnered significant attention in intelligent decision-making. Most existing approaches to predicting crude oil prices prioritize accuracy and stability while providing precise...

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Triadic concept analysis for insights extraction from longitudinal studies in health

In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as...

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Factors influencing readiness for artificial intelligence: a systematic literature review

Public-and private-sector organizations have adopted artificial intelligence (AI) to meet the challenges of the Fourth Industrial Revolution. The successful implementation of AI is a challenging task,...

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Does the application of industrial robots reduce the intensity of CO2 emissions embodied in manufacturing exports?

Industrial robot application (IRA) provides an opportunity for the low-carbon development of trade. This study focuses on the green revolution of manufacturing export trade, analyzes the mechanism by...

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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering

This study introduces an advanced recommender system for technology enhanced learning (TEL) that synergizes neural collaborative filtering, sentiment analysis, and an adaptive learning rate to address...

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Engaging in sports via the metaverse? An examination through analysis of metaverse research trends in sports

In sports, virtual spaces are sometimes utilized to enhance performance or user experience. In this study, we conducted a frequency analysis, semantic network analysis, and topic modeling using 134...

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Determinants of continuous usage intention of branded apps in omni-channel retail environment: comparison between experience-oriented and transaction-oriented apps

Branded applications (apps) have become core touchpoints for improving consumer shopping experiences in omni-channel retailing, and many firms have developed different types of branded apps to provide...

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Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology

The purpose of this research is to examine the impact of artificial intelligence (AI) on customer performance and identify the factors contributing to its effectiveness by employing a quantitative approach,...

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Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP

The All-pairs shortest path problem (ALL-SPP) aims to find the shortest path joining all the vertices in a given graph. This study proposed a new optimal method, Dhouib-matrix-ALL-SPP (DM-ALL-SPP) to...

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The relationship between attribute performance and customer satisfaction: an interpretable machine learning approach

Understanding the relationship between attribute performance (AP) and customer satisfaction (CS) is crucial for the hospitality industry. However, accurately modeling this relationship remains challenging....

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