Leveraging the potential of over-the-top platforms in optimizing student learning experience in education by Komal Chopra

“…The different concepts were identified as analytical learning, group learning, edutainment learning, adaptive learning, and observational learning. …”
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Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

Subjects: “…Deep reinforcement learning…”
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A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by M. Dhinakaran, Khongdet Phasinam, Joel Alanya-Beltran, Kingshuk Srivastava, D. Vijendra Babu, Sitesh Kumar Singh

“…Machine learning is being used to create techniques that can learn from labelled or unlabeled information, as well as learn from their surroundings. …”
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Machine Learning-Based Probabilistic Seismic Demand Model of Continuous Girder Bridges by Wenshan Li, Yong Huang, Zikai Xie

“…Subsequently, PSDMs are established for the IMs and engineering demand parameters based on the existing NTHA data using machine-learning methods, which include linear regression, Bayesian regression (BR), and a tree-based model. …”
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The Significance of Mobile Applications Based Learning in Creating Awareness of Occupational Health and Safety by Muhamad Faisal Aulia Nugraha, Roemintoyo Roemintoyo, Djono Djono

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Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

Subjects: “…Data-centric machine learning…”
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Analysis of the Suitability of Implementing Project Based Learning for Elementary School Teacher in Salatiga by Gamaliel Septian Airlanda, Yari Dwikurnaningsih, Agustina Tyas Asri Hardini

Subjects: “…Project Based Learning, Aktivitas Pembelajaran, Kurikulum Merdeka…”
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Problem-Based Learning Research in Anesthesia Teaching: Current Status and Future Perspective by G. Chilkoti, M. Mohta, R. Wadhwa, A. K. Saxena

“…The teaching curriculum in anesthesia involves traditional teaching methods like topic-based didactic lectures, seminars, and journal clubs; intraoperative apprenticeship; and problem-based learning (PBL) and simulation. The advantages of incorporating PBL in anesthesia teaching include development of skills like clinical reasoning, critical thinking, and self-directed learning; in addition it also helps in developing a broader perspective of case scenarios. …”
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Evaluative study of the Kurikulum Merdeka learning system in Bandung Private Elementary Schools by Endang Purwati, Zainal Arifin

“…Based on the research, it shows that (1) the process of learning the independent curriculum in elementary schools is quite effective, although its implementation is still not optimal; (2) The obstacles to implementing the independent curriculum include the use of textbooks as learning resources; (3) Designing better learning strategies is needed. …”
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How lifelong learning shapes the professional development of staff in higher education institutions by Yaw Owusu-Agyeman

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Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective by Yuzhi Xu, Haowei Ni, Fanyu Zhao, Qinhui Gao, Ziqing Zhao, Chia-Hua Chang, Yanran Huo, Shiyu Hu, Yike Zhang, Radu Grovu, Hermione He, John Z. H. Zhang, Yuanqing Wang

“…Computational molecular design—the endeavor to design molecules, with various missions, aided by machine learning and molecular dynamics approaches—has been widely applied to create valuable new molecular entities, from small molecule therapeutics to protein biologics. …”
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Retracted: Digital Management and Optimization of Tourism Information Resources Based on Machine Learning by International Transactions on Electrical Energy Systems

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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

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Global Information Management Model and Identification Method Based on Deep Reinforcement Learning by RuiLe Lan, XiJia He

“…Many countries in the world are actively conducting research on information technology and management. And deep learning is a new type of efficient and open technology system and tool. …”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh by Arman Hossain Chowdhury, Md. Siddikur Rahman

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Division-selection transfer learning for prediction based dynamic multi-objective optimization by Hongye Li, Fan Liang, Yulu Liu, Quanheng Zheng, Kunru Guo

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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…In recent years, deep learning methods applied to brain tumor segmentation have shown promising results. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…Our approach utilized a comprehensive strategy combining machine learning models trained on binarized incidences, along with descriptive techniques for identifying key factors. …”
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Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis by Ce Gao, Zhibin Li, Hazem Elzarka, Hongyan Yan, Peijin Li

“…Although the use of machine learning (ML) techniques to predict culvert conditions has been proven to be a promising tool for enhancing culvert management and enabling proactive scheduling of maintenance tasks, the information provided by the developed ML models has been given little attention for further use and analysis. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

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