Early childhood caries risk prediction using machine learning approaches in Bangladesh by Fardous Hasan, Maha El Tantawi, Farzana Haque, Moréniké Oluwátóyìn Foláyan, Jorma I. Virtanen

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Associative Portrait of a Russian Student in the Context of the Emergency Transition to Distance Learning by L. I. Baturina, A. Yu. Simakov

Subjects: “…distance learning…”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

“…The aim of this study is to analyze the feasibility of land cover classification with small samples by convolutional neural network and, according to the deep learning algorithm, to explore new methods for rapid, nondestructive, and accurate classification of the land cover.…”
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An Empirical Study on the Behavioral Intention of College Students’ Online Ideological and Political Learning by Miaomiao Ren, Yan Ma, Wenxiang Fan, Mingyong Li, Yuming Feng

“…Based on the integration of the technology acceptance model and the information system success model, this study constructs the structural equation model of college students’ online ideological and political learning behavioral intention; then, a questionnaire survey is conducted among college students from 7 colleges of Chongqing and Hangzhou. …”
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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Phosphorus by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Effects of Learning Multiple Foreign Languages on Learners’ Social Emotional Competence Development by Fang Zhang, Wenjun Yu, Hao Xu

“…This paper reports on a study that investigates the impact of learning multiple foreign languages on learners’ social emotional competence development as mediated by the number of foreign languages and the recency of the learning experience. …”
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A Study on Elements of Machine Vision and Machine Learning in Industrial Vision Systems by Jarosław PANASIUK (jaroslaw.panasiuk@wat.edu.pl), Adrianna ADAMUS (adrianna.adamus@student.wat.edu.pl)

“…The article presents an analysis of issues regarding the current state and prospects of using machine learning elements in industrial applications of vision systems. …”
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Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches by Jingchao Lei, Jia Zhai, Jing Qi, Chuanzheng Sun

“…Weighted Gene Co-expression Network Analysis and four machine learning methods—Elastic Net regression, LASSO, random forest, and XGBoost—were employed, dentifying 18 biomarkers with significant expression changes. …”
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Formative Assessment in a Geology Classroom: Promoting Learning by Giving Top Marks by Daniel S. Helman

Subjects: “…formative assessment in education; stem teaching; radical pedagogy; managing student expectations; student-centered learning.…”
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Ion channel classification through machine learning and protein language model embeddings by Ghazikhani Hamed, Butler Gregory

“…We employ a comprehensive array of machine learning algorithms, including k-Nearest Neighbors, Random Forest, Support Vector Machines, and Feed-Forward Neural Networks, alongside a novel Convolutional Neural Network (CNN) approach. …”
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Reinforcement learning based group key agreement scheme with reduced latency for VANET by Tangwei1 XU, Hailu ZHANG, Chuhuan LIU, Liang XIAO, Zhenmin ZHU

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The integrated teaching practice of medical cloud dictionary development and project-based learning by Jiayi Zhang, Jiexuan Chen, Hongbin Guo, Wei Liu, Mingzhe Li

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PEDAGOGICAL CONDITIONS FOR THE FORMATION OF AN EFFECTIVE INFORMATION AND LEARNING ENVIRONMENT IN HIGHER EDUCATION INSTITUTIONS by Valerii Yu.  Habrusiev, Hryhorii V. Tereshchuk, Alla V. Stepanyuk, Tetiana M. Olendr

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Dental Students’ Learning Experience: Artificial Intelligence vs Human Feedback on Assignments by Chantha K. Jayawardena, Yuvika Gunathilake, Dhammika Ihalagedara

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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Development of a Neuroevolution Machine Learning Potential of Al-Cu-Li Alloys by Fei Chen, Han Wang, Yanan Jiang, Lihua Zhan, Youliang Yang

Subjects: “…neuroevolution machine learning potential…”
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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Utilizing Age-Adaptive Deep Learning Approaches for Detecting Inappropriate Video Content by Iftikhar Alam, Abdul Basit, Riaz Ahmad Ziar

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Mortality Prediction in COVID-19 Using Time Series and Machine Learning Techniques by Tanzina Akter, Md. Farhad Hossain, Mohammad Safi Ullah, Rabeya Akter

“…According to the author’s analysis of the data, SVM is a machine learning technique that can be used to accurately predict mortality in a pandemic scenario.…”
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