Hybrid didactic design in mathematics learning on fraction: A hermeneutic phenomenology by Ahmad Muzaki, Ita Chairun Nissa, Sri Yuliyanti, Masjudin, Muhamad Galang Isnawan

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An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

“…In recent times, Artificial Intelligence and machine learning have been a boon for medicine. Hence, several supervised learning techniques have been utilized in this research to diagnose appendicitis in pediatric patients. …”
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E-LEARNING IN THE LANGUAGE OF HIGHER EDUCATION: EVOLUTION AND HERMENEUTICS OF THE CONCEPT AND THE PHENOMENON by Ilya B. Gosudarev

Subjects: “…e-learning…”
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Modeling Terrestrial Net Ecosystem Exchange Based on Deep Learning in China by Zeqiang Chen, Lei Wu, Nengcheng Chen, Ke Wan

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A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents by Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song

Subjects: “…Multi-agent reinforcement learning…”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

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High-performance directional fuzzing scheme based on deep reinforcement learning by Tian XIAO, Zhihao JIANG, Peng TANG, Zheng HUANG, Jie GUO, Weidong QIU

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Sentiment Analysis in Arabic Text and Emoji Using Deep Learning Methods by Suhad Nasrallah Taraf, Ahmed T. Sadiq

Subjects: “…keywords: text classification; emoji analysis; sentiment analysis; deep learning; spacy…”
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PEER TUTORING IN LEARNING A FOREIGN LANGUAGE AS A NON-MAJOR by E. A. Makarova

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Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning by Shuo Jia, Fei Hui, Cheng Wei, Xiangmo Zhao, Jianbei Liu

“…For the deep-learning component, long short-term memory and a convolutional neural network are used to extract and learn data features during the lane-changing process as well as combine the output of the game theory component to obtain the prediction result of whether the vehicle will change lanes. …”
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Electricity Theft Detection in Power Grids with Deep Learning and Random Forests by Shuan Li, Yinghua Han, Xu Yao, Song Yingchen, Jinkuan Wang, Qiang Zhao

“…In this model, a convolutional neural network (CNN) firstly is designed to learn the features between different hours of the day and different days from massive and varying smart meter data by the operations of convolution and downsampling. …”
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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

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Predicted Mean Vote of Subway Car Environment Based on Machine Learning by Kangkang Huang, Shihua Lu, Xinjun Li, Ke Feng, Weiwei Chen, Yi Xia

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Learning of the user behavior structure based on the time granularity analysis model by Lin Guo, Xiaoying Liu

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The University as a Means for Value Creation. Service-learning for Service Orientation by María A. Ramón-Jerónimo, Rosario Vázquez-Carrasco, Ana Olavarría-Jaraba, Emily Grott

“…Essentially, the study provides two main insights: the role of the university in value creation through the learning process, and the effects of designing training programs based on service-learning for future marketing personnel success.…”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

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Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control by Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

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Deep Learning for Global Ionospheric TEC Forecasting: Different Approaches and Validation by Xiaodong Ren, Pengxin Yang, Hang Liu, Jun Chen, Wanke Liu

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A Bibliometric Analysis of out of School Learning Environments: Science Mapping by Fatih Seker, Muhammed Dogukan Balcin

Subjects: “…Out-of-school learning…”
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Distributed abnormal traffic detection method for SDN based on deep learning by WANG Kun, FU Yu, DUAN Xueyuan, YU Yihan, LIU Taotao

Subjects: “…deep learning…”
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