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Titlebook: Innovative Computing Vol 2 - Emerging Topics in Future Internet; Proceedings of IC 20 Jason C. Hung,Jia-Wei Chang,Yan Pei Conference procee

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Covariance Estimation and Algorithm Implementation of Hedge Fund Distribution Replication Model Basemodel covariance estimation, and then introduces the algorithm implementation method. The research shows that AHP algorithm has obvious advantages in the covariance estimation of hedge fund distribution replication model, and accurate results can be obtained under reasonable application.
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Construction and Application of Intelligent Sensing Ability in Infrastructure Construction Site Basehe performance of intelligent perception through the use of artificial intelligence technology. It will be used to detect and track any type of motion on the construction site, which will help reduce human errors and improve efficiency.
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Construction of Folk Dance Resource Database Based on “Internet +”reography and related topics. The database will be built using the resources available at (.. .) and other sources, such as the world wide web, printed books, magazines, periodicals and newspapers, are listed under “references”. However, it should be noted that there are some limitations in this regard.
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Cross Border B2B E-Commerce Website Service Quality Evaluation System shopping experience. The results will be displayed in a table with corresponding scores for each parameter. Cross border B2B e-commerce websites are more and more popular with users because of their convenience and cost-effectiveness.
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Data Analysis Method of English Education Based on Improved Deep Learning Algorithmanced cognition. It can be divided into two types: 1. Deep convolution network 2. Deep recursive network in this paper, we will mainly focus on using deep convolution network to analyze English data, and provide a method to improve the accuracy of its results by using its improved deep learning algorithm.
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Construction of Teaching Evaluation Model of Computer Aided Pedagogyased learning system. It was developed by Professor John J. Meister of the University of Illinois at Urbana Champaign in the 1990s. It is an extension of his early computer-aided instruction (CAI) work. Since then, the tepcap framework has been widely used, especially in higher education and distance education environments.
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