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Titlebook: Intelligent Technologies for Interactive Entertainment; 13th EAI Internation Zhihan Lv,Houbing Song Conference proceedings 2022 ICST Instit

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發(fā)表于 2025-3-21 18:03:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Technologies for Interactive Entertainment
副標(biāo)題13th EAI Internation
編輯Zhihan Lv,Houbing Song
視頻videohttp://file.papertrans.cn/471/470121/470121.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Intelligent Technologies for Interactive Entertainment; 13th EAI Internation Zhihan Lv,Houbing Song Conference proceedings 2022 ICST Instit
描述This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2021. Due to the COVID-19 global pandemic, the conference was held virtually. This year‘s conference put an emphasis on the future of technologies for interactive entertainment.. The 25 full papers presented at the conference and thus included in this book were selected from 50 submissions, and present novel and innovative work in areas including art, science, design and engineering regarding computer-based systems or devices that provide intelligent human interaction, learning, or entertainment experiences.. The papers are grouped in 2 sessions of thematic issues on emerging applications and augmented reality..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; augmented reality; computer networks; computer vision; data communication syste
版次1
doihttps://doi.org/10.1007/978-3-030-99188-3
isbn_softcover978-3-030-99187-6
isbn_ebook978-3-030-99188-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
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Enterprise Economic Forecasting Method Based on ARIMA-LSTM Model economic data of enterprises, ARIMA-LSTM model is used to predict the future economic development of enterprises. Comparing the prediction results with ARIMA model and ARIMA-LSTM model without IOT data, it is found that the model has the smallest RMSE, MAE and MAPE. The results show that the model
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Review of Gamified MOOC’s Impact Toward Learner’s Motivation in Learning Effectiveness Contextective of user information behaviour, this paper follows the logical route of “motivation-behaviour” and analyse the perceptual challenge and perceptual attention, learning results and cognitive user participation. From the MOOC context, this paper discusses the technical application factors that af
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The Dynamic Scattering Coefficient on Image Dehazing Method with Different Haze Conditionset by simulating synthetic haze in images of outdoor scenes. The synthetic haze simulation is based on the meteorological range and works on specific haze conditions. In addition, this paper introduced a dynamic scattering coefficient to the dehazing algorithm to determine the appropriate visibility
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Federated Parking Flow Prediction Method Based on Blockchain and IPFSe improvement contribution is designed. The experimental results show that the method can improve the generalization performance of the model and improve the training efficiency of the parking flow prediction model, and provide a reasonable reward allocation.
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