Intercultural learning in diverse schools: obstacles, opportunities, and outlooks by Thor-André Skrefsrud

“…This paper ends with a consideration of the future prospects of intercultural learning, suggesting more research on how intercultural learning actually takes place in schools and society. …”
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Virtual Learning Environments from localization point of view by Valentina Dagienė, Tatjana Jevsikova

“… For better learning achievements in a networked society the great variety of virtual learning environments (VLE) is being developed and used. …”
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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…Accurately predicting house prices is of vital importance to individual home buyers and investment groups, which not only profoundly affects the formulation of home-buying strategies, but also is closely related to the smooth operation of the economy and the overall development of the society. In recent years, machine learning techniques have shown remarkable potential in house price prediction, as these models can mine the complex nonlinear correlations in large amounts of historical data to produce more detailed and accurate predictions. …”
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Harnessing Meta-Reinforcement Learning for Enhanced Tracking in Geofencing Systems by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

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Statistical mechanics and machine learning of the α-Rényi ensemble by Andrew Jreissaty, Juan Carrasquilla

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Experimenting with twilight learnings and twilight writings for community engagement by Silvia Mugnaini, Åsa Ståhl, Leah Ireland

“… This contribution explores community engagement through the collaborative practice ‘Twilight Learnings – Seasonal experiments in the Tiny House on Wheels (THoW)’. …”
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Geometric quantum machine learning with horizontal quantum gates by Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran

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Schools and New Learning Spaces in Milan. An Educational Experience by António Carvalho, Szymon Ruszczewski, Filippo Piscioli

“…The students considered different pedagogical models translated into spaces, confronting them with theoretical models and reference case studies, ultimately contributing to the discussion surrounding the school of the future.The project experiences explore the possible forms and organisation of spaces, so that the school becomes a centre open to the inhabitants of the district, and a space for learning about society and the city. This requires a clear articulation between safety solutions designed to protect the very young pupils, while providing coherent and autonomous access to adults and other users from the community, so as to share the cultural and sporting facilities of the school. …”
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An Improved Deep Learning Model for Traffic Crash Prediction by Chunjiao Dong, Chunfu Shao, Juan Li, Zhihua Xiong

“…Machine-learning technology powers many aspects of modern society. …”
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The role of microRNAs in learning and long-term memory by L. N. Grinkevich

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Learning-induced sensory plasticity of mouse olfactory epithelium by A. V. Romashchenko, Р. Е. Kireeva, M. В. Sharapova, Т. A. Zapara, A. S. Ratushnyak

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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

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Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming by Yan Guo, Jin Zhang, Chengxin Yin, Xiaonan Hu, Yu Zou, Zhipeng Xue, Wei Wang

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An Intelligent Optimization Strategy Based on Deep Reinforcement Learning for Step Counting by Zhoubao Sun, Pengfei Chen, Xiaodong Zhang

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Social exclusion as a side effect of machine learning mechanisms by A. G. Tertyshnikova, U. O. Pavlova, M. V. Cimbal

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Optimizing Learning and Cognitive Activities of University Students in the Internet Environment by L. K. Raitskaya

“…The article looks into the notion of learning and cognitive activities of students in the Internet-environment. …”
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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

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