Construction of a 5G Wireless Semantic Web-Assisted English Digital Learning Resource Query System by Lili Liu

“…Based on the 5G wireless semantic network, this paper realizes the construction of the English digital learning resources query system, providing the query and management functions for English digital learning resources, and realizes the integration of functions and resources on the digital learning system and mobile learning system. …”
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Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach by Yunus Emre Gur

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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Normally, the human eye can easily distinguish between the foreground and background of an image, but computers need learning to distinguish between the two. Image segmentation is one of the fields in computer vision that discusses how computers learn and recognize segments of an image according to specified labels. …”
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Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method by Zhe Sun, Xunshi Yan, Jingjing Zhao, Xiao Kang, Guojun Yang, Zhengang Shi

“…In addition, the estimation precision is significantly improved compared with the method without learning. The proposed method is validated by the experimental data from touchdown experiments.…”
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Retracted: Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing by Journal of Food Quality

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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Retracted: The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method by International Transactions on Electrical Energy Systems

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The Influence of Pro Evolution Soccer Game-Based Learning on Understanding Football Rules among Tenth Grade Students by Irvan Abdillah, Samsuddin Siregar, Rafael Burgueño, Felisa Romo Lea, Gertude Barton

Subjects: “…game-based learning…”
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Understanding the spread of agriculture in the Western Mediterranean (6th-3rd millennia BC) with Machine Learning tools by Maria Elena Castiello, Emmanuele Russo, Héctor Martínez-Grau, Ana Jesus, Georgina Prats, Ferran Antolín

“…Here, we tackle this question by compiling data and proxies at a superregional and multi-scale level, including archaeobotanical information, radiocarbon dates and paleoclimatic models, then applying a machine learning approach to investigate the impact of ecological and climatic constraints on the first Neolithic humans and crops. …”
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Enhancing executive mathematics problem-solving through a constructivist digital learning platform: Design, development and evaluation by Supaluk Chaiarwut, Sanit Srikoon, Apirat Siritaratiwat, Parama Kwangmuang

Subjects: “…Learning innovation…”
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Assessing the effectiveness of using electronic distance learning methods and the relationship with the results of the Bennett and Unified State Exam tests by Maksim S. Ivanov, Lyudmila V. Vinogradova, Vera A. Patrina, Oksana V. Makarova

Subjects: “…electronic distance learning methods…”
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Practice and application of learning curve theory in improving prescription review skills in standardized training for pharmacists in medical institutions by Jingjing Xu, Qin He, Min Xu, Kun Fu, Jiao Luo, Ying Ma, Xu Liu, Hen Xi

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The Influence of Social Intellect on the Features of the Behavior of Cadets Studying at Institutions With Specific Learning Conditions in Frustration and Stress Situations by S. V. Kharchenko

“…The objective of this study was to summarize empirical data on the interrelationships between social intelligence abilities and behavior patterns in the frustration and stress situation of cadets of higher educational institutions with specific learning conditions. The following psycho-diagnostic methods were used in this work: J. …”
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Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model by Stefan Klir, Julian Lerch, Simon Benkner, Tran Quoc Khanh

“…Current research has shown that there are two machine learning-based algorithms that are particularly prominent for general object detection: You Only Look Once (YOLOv5) and Detection Transformer (DETR). …”
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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

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Personalized Travel Route Recommendation Model of Intelligent Service Robot Using Deep Learning in Big Data Environment by Xiang Huang

“…Aiming at the problems that the traditional model is difficult to extract information features, difficult to learn deep knowledge, and cannot automatically and effectively obtain features, which leads to the problem of low recommendation accuracy, this paper proposes a personalized tourism route recommendation model of intelligent service robot using deep learning in a big data environment. …”
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Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery by Isiaka Lukman Alage, Yumin Tan, Ahmed Wasiu Akande, Agus Suprijanto

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The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models. by Ahmed Daoud, Asa Ben-Hur

“…Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. …”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

“…The chaotic encryption technique makes use of the Lorenz map and a Customized Deep Learning Model (CDLM) based on Convolution Neural Networks (CNNs) are presented for watermarking. …”
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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

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