Unsupervised Model for Detecting Plagiarism in Internet-based Handwritten Arabic Documents

Zaher, Mahmoud A.; Shehab, Abdulaziz; Elhoseny, Mohamed; Farahat, Farahat Farag

doi:10.4018/joeuc.2020040103

Cited by 37 publications

(14 citation statements)

References 20 publications

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“…Many AR and VR technology enthusiasts suffer from limited learning channels. If you can use the Internet to build online learning websites and forums for AR and VR related technologies, let learners learn on the Internet, you can attract more people to participate in AR and VR learning, and you can also conduct learning exchanges in the forum [39]. In addition the construction of the website and the forum are similar, and the solutions adopted are also similar, which can provide a useful reference for the subsequent construction of other types of educational websites and forums.…”

Section: Analysis Of Talent Training In Vr and Armentioning

confidence: 99%

Retracted: Digital Media Application Technology in Tourism Management Major VRAR Direction Talent Training Model Reform and Practice Research

Zhang

Li³

et al. 2024

IEEE Access

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Digital media application technology has become the main expression of digital information media in the era of society through the perfect combination of art design and technical language through digitalization and informatization platforms. This paper studies the reform of the training mode of digital media application technology in the VR and AR direction of tourism management majors. Here, digital media application technology is used to reform the training model of tourism management professionals, and the teaching method of the talent training model is analyzed. A comparative analysis of the talent training programs of various universities is also conducted, and the experimental results of the reform of the talent training model are summarized. It shows that through the reform of the talent training model in the VRAR direction of the tourism management major, the overall learning performance of talents has been improved by 13.2%, and the research investment in VR and AR technology has increased by 23.7%.

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Section: Analysis Of Talent Training In Vr and Armentioning

confidence: 99%

Retracted: Digital Media Application Technology in Tourism Management Major VRAR Direction Talent Training Model Reform and Practice Research

Zhang

Li³

et al. 2024

IEEE Access

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“…The character area in the image only occupies a relatively small part of the entire image area. In order to reduce the difficulty of subsequent processing and to avoid the influence of the areas of our image that are not of interest to the processing result, it is necessary to perform a rough cut on the image first, which will include the area of the character is separated from the whole picture [32]. By observing the original image, we know that the straight line above the character is a very obvious feature.…”

Section: ) Image Grayscale Processingmentioning

confidence: 99%

Retracted: Consumer Marketing Brand Cultivation Path Based on Image Recognition Technology

Liu

Lyu²,

Gao³

2024

IEEE Access

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In recent years, with the improvement of national income levels, people's consumption concept has begun to transition from enjoyment to quality, and people pay more and more attention to food safety and health. The research of intelligent brand image recognition technology is the most important to prevent the spread of counterfeit and shoddy products and brand cultivation. This article mainly studies the cultivation method of consumer marketing brand based on image recognition technology. This article is based on image recognition technology. Consumers can obtain relevant information and brand culture through the mobile phone camera function anytime, anywhere, establish a bridge between consumers and company brands, broaden the company's channels for obtaining consumer information big data, and deeply tap consumer potential. Demand, further enrich the brand cultivation methods, and achieve a new terminal service experience of "efficient, convenient and satisfactory" for consumers. In the experiment of this paper, the shape of the product packaging is relatively irregular, so there are fewer feature points generated in this part, which leads to the inaccurate extraction and distribution of visual words, which reduces the accuracy of single product extraction slightly, but the overall result is good. The maximum number of iterations in this experiment is 40, which can meet the requirements of most pictures. From the perspective of consumer perception, this paper explores and proposes a new path for consumer marketing brand cultivation of image recognition technology, promotes the deep integration of new artificial intelligence technology and brand industry, and fills the gaps in industry-related technologies and applications.

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“…When studying the marketing efficiency problem of agricultural information resource utilization, there are two general analysis methods, nonparametric analysis (DEA) and parametric analysis (SFA), each of which has advantages and disadvantages in use. e parametric analysis method (SFA) has a greater advantage in dealing with the marketing efficiency problem of multiple inputs corresponding to one output [22][23][24]. However, agricultural information resource allocation marketing efficiency problems generally need to solve the correspondence between multiple inputs and multiple outputs, which cannot be measured simply by using the parametric analysis method.…”

Section: Nonparametric Analysis Of the Efficiency Of Configurationmentioning

confidence: 99%

Coupling of Agricultural Product Marketing and Agricultural Economic Development Based on Big Data Analysis and “Internet+”

Xiao

Wang

Tsai

2021

Mobile Information Systems

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In the era of “Internet+,” the increase of agricultural products sales can be achieved by creating and joining e-commerce platforms. Most of the farmers in China are self-employed and cannot form an industrial scale. With the rise of “Internet+” background research, the combination of this technology and the marketing of agricultural products has become a new marketing model under the deep integration of different fields. Based on the marketing of products under the background of “Internet+” and using marketing theories, this paper reviews the development of marketing of agricultural products under the background of “Internet+,” including the Internet infrastructure, the establishment of logistics system, the formation of branding, and the deep processing of agricultural products. The paper reviews the development of agricultural marketing under the background of “Internet+,” including the Internet infrastructure, establishment of logistics system, branding, and deep processing of agricultural products. The marketing mode of agricultural products under the background of “Internet+” is proved, and the development of agricultural products marketing under the background of “Internet+” is discussed from various angles, and insights into how to improve it are proposed from five aspects. After excluding the influence of environmental factors through the improved three-stage SE-DEA model, the mean value of TE of comprehensive efficiency of agricultural information allocation increases from 0.773 to 0.832, the mean value of SE of scale efficiency increases from 0.844 to 0.9219, and the mean value of PTE of pure technical efficiency adjusts from 0.9087 to 0.9058. The mean value of pure technical efficiency (PTE) was adjusted from 0.9087 to 0.9058. Compared with the parametric method, DEA does not require a specific production function to be set in advance, and it is also difficult to select a suitable production function in advance for complex problems.

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Unsupervised Model for Detecting Plagiarism in Internet-based Handwritten Arabic Documents

Cited by 37 publications

References 20 publications

Retracted: Digital Media Application Technology in Tourism Management Major VRAR Direction Talent Training Model Reform and Practice Research

Retracted: Digital Media Application Technology in Tourism Management Major VRAR Direction Talent Training Model Reform and Practice Research

Retracted: Consumer Marketing Brand Cultivation Path Based on Image Recognition Technology

Coupling of Agricultural Product Marketing and Agricultural Economic Development Based on Big Data Analysis and “Internet+”

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