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Titlebook: Immersive Learning Research Network; 5th International Co Dennis Beck,Anasol Peña-Rios,Michael Gardner Conference proceedings 2019 Springer

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Adaptive Hypermedia Driven Serious Game Design and Cognitive Style in School Settings: An Exploratorr here developed an Adaptive Hypermedia Driven Serious Game (AHDSG) based around Pask’s Holist-Serialist dimension of cognitive style. A prototype AHDSG was designed and developed to teach students about Sutton Hoo and archaeological methods. Sixty-six secondary school students participated in this
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Oscar Quintela,Dennis J. Crouchor not. Often, we have had more than one independent variable. Assuming only one independent variable, if we want to say it this way (and we do!), we can say that we have had . (., .) pairs of data, where . is the total number of data points. With more than one independent variable, we can say that we have . (.., .., …, .) data points.
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Roles for CCR7 in Cancer Biology,and preferences of each user. As we can see in the literature, one of the techniques with the best results, is the application of recommender systems. Recommender systems are tools whose objective is to evaluate and filter the large amount of information available on the Web to assist users in their
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Peng Tang,Lingshan Jiang,Jianhong Huo,Ying Zhang,Xiang Qi,Weimin Yaoental results show that our algorithm can effectively enhance dust images quality in different degree, get more image details and resolve the definition and hue correction problems. We proposed a absolute color difference index to measure this method. The experiments demonstrate that the proposed al
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Production of Microbial Biosurfactants by Solid-State Cultivationropriate physico-chemical properties and of methods for monitoring of the cultivation process and recovering the biosurfactants from the fermented solid. With suitable efforts in research, solid-state cultivation can be used for large-scale production of biosurfactants.
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https://doi.org/10.1007/978-94-009-3387-3is paper, we propose the FTRL-DP online algorithm to address the problem of malware detection under concept drift when the behavior of malware changes over time. The experimental results show that online learning outperforms batch learning in all settings, either with or without retrainings.
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