Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Yan, Pingyan; Zhang, Shimei

doi:10.1155/2022/5438320

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…From a legal perspective, the application of newgeneration digital technologies must comply with the relevant laws and regulations [35]. However, due to the rapid development of the technology and the diversity of application scenarios, the formulation and adaptation of the relevant laws and regulations often lags behind the popularisation and application of the technology [36]. Taking the application of BIM as an example, there is no consensus on the adoption of BIM, the existing laws and regulations are not clearly defined and there are no industry standards [37].…”

Section: Uncertainties and New Generation Technologymentioning

confidence: 99%

Critical Uncertainty Analysis of the Application of New-Generation Digital Technology in China’s Construction Industry—A Study Based on the LDA-DEMATEL-ISM Improvement Model

Li,

Sun,

Zhang

et al. 2023

Applied Sciences

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As the main driving force for the digital transformation of the construction industry, the uncertainty of digital technology in the application process has seriously hindered the high-quality development of the construction industry. In order to promote the wide application of digital technology in the construction industry and clarify the key uncertainties in its application process, this paper identifies the uncertainty index system of digital technology application based on the LDA topic model and literature analysis; the DEMATEL-ISM method is used to construct the multilevel hierarchical structure model of the uncertainty indicators in the application of digital technology to study the mutual influence among the indicators and to find the key uncertainty indicators. The research results show that the uncertainty indicators of the application of digital technology in the construction industry are divided into five levels: policy, industry, personnel, economy and law, and that the perfection of the policy guarantee system is the key uncertainty indicator for the investment return period of digital technology application. The standard contract model for digital technology is a direct uncertainty indicator for the application of digital technology in the construction industry. The results of this study help researchers and practitioners to focus on the key barriers and provide a list of key elements for construction companies to promote the application of next-generation digital technologies to improve digitalization of the construction industry. This study also provides a policy reference to further promote the digital transformation of the construction industry.

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Section: Uncertainties and New Generation Technologymentioning

confidence: 99%

Critical Uncertainty Analysis of the Application of New-Generation Digital Technology in China’s Construction Industry—A Study Based on the LDA-DEMATEL-ISM Improvement Model

Li,

Sun,

Zhang

et al. 2023

Applied Sciences

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“…II. RELATED WORK P. Yan and S. Zhang [11]. Studies on the digitization of archive records have investigated the efficacy of AI-based techniques, such as Convolutional Neural Network (CNN) models, in automating and optimizing the digitization process.…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence-based Technology in College Archives Management

Jianping Hu

2024

jes

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This study looks into the use of artificial intelligence (AI)-based technologies, notably Convolutional Neural Network (CNN) models and data augmentation approaches, in college archives management. With the rapid expansion of digital information, archive organizations have enormous issues in maintaining, organizing, and giving access to their vast collections of historical documents and scholarly resources. AI solutions present possible solutions to these difficulties by automating labor-intensive operations and improving the efficiency and accuracy of preservation workflows. In this study, they investigate the transformational potential of CNN models in digitization activities, utilizing their visual data processing skills to automate and enhance the digitization of visual resources within college archives. In addition, they look into how data augmentation techniques might improve the resilience and generalization capabilities of AI models, reducing biases and improving performance across a variety of archive collections. Using empirical research, theoretical analysis, and case studies, they present insights into the opportunities and obstacles of implementing AI-based technology in college archive management. Furthermore, they discuss ethical implications for the deployment of AI solutions, emphasizing the significance of transparency, accountability, and stakeholder participation. This study aims to inform archival practitioners, technologists, and stakeholders about the effective and responsible integration of AI technologies in cultural heritage preservation and promotion within academic institutions by elucidating the practical applications and implications of CNN models and data augmentation techniques in archival contexts.

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“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

2023

Mobile Information Systems

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Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Cited by 4 publications

References 19 publications

Critical Uncertainty Analysis of the Application of New-Generation Digital Technology in China’s Construction Industry—A Study Based on the LDA-DEMATEL-ISM Improvement Model

Critical Uncertainty Analysis of the Application of New-Generation Digital Technology in China’s Construction Industry—A Study Based on the LDA-DEMATEL-ISM Improvement Model

Application of Artificial Intelligence-based Technology in College Archives Management

Retracted: Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

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