Decentralized and Asymmetric Multi-Agent Learning in Construction Sites by Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, Itzik Klein

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Self-Confirming Biased Beliefs in Organizational “Learning by Doing” by Sanghyun Park, Phanish Puranam

“…Learning by doing, a change in beliefs (and consequently behaviour) due to experience, is crucial to the adaptive behaviours of organizations as well as the individuals that inhabit them. …”
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Open Educational Resources in the Development of Digital Learning Environment by N. V. Dneprovskaya, I. V. Shevtsova

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Application of machine learning tools and immersive technologies in management by A. V. Sosnilo

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Federated Learning Applications in Fingerprint and Finger Vein Recognition by Wang Yongchao

“…This article summarizes several approaches that combine federated learning with fingerprint and finger vein recognition to solve privacy issues. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

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PHILOSOPHY OF EDUCATION IN THE DIGITAL AGE: TRANSFORMATION OF KNOWLEDGE AND LEARNING by Марина ШУЛЬГА, Інна КУЗНЄЦОВА, Наталія ПОЛІЩУК

Subjects: “…simulacral knowledge, digital subject, hypertextual education, adaptive learning, informational entropy, poststructuralist approach…”
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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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Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

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

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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…E calculated by DTS was chosen as the target value for prediction. Different machine learning algorithms were selected, optimizing parameters to achieve the best performance for each algorithm. …”
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How to Improve Fine Motor Skill Learning in Dentistry by Mohamed El-Kishawi, Khaled Khalaf, Tracey Winning

“…Factors including the amount and timing of instructions provided, cognitive abilities, and practice schedule of learning trials may have significant implications on the design of fine motor skill learning exercises.…”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…The paper provides a detailed review of the latest developments in Deep RL in the field of TFP, including the application of Q-learning and its variants in traffic signal control. …”
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Parents’ Impression On Quality Of Children In Learning Process At Classroom by Dinda Salsabilah Siregar, Melina Putri Septiani Nasution, Thalya Marchanda Tarigan, Soechi Kurnia, Bambang Nur Alamsyah Lubis

“…The result of this study was the role of parents did not influence student learning in class, due to a lack of supporting factors. …”
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Performance evaluation metric for statistical learning trading strategies by Jiawei He, Roman N. Makarov, Jake Tuero, Zilin Wang

Subjects: “…statistical learning…”
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Machine Learning in Information and Communications Technology: A Survey by Elias Dritsas, Maria Trigka

Subjects: “…machine learning…”
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Use of Instagram as learning media in senior high school by Muhammad Nur Iman Hadiyana Setia, Monica Fajriana

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Contextualized embeddings for semantic change detection: Lessons learned by Andrey Kutuzov, Erik Velldal, Lilja Øvrelid

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Research on metacognitive strategies of children’s self-regulated learning by NARENGAOWA, Orosoo Tungalag

“…# Background Learning involves numerous self-regulatory processes, and self-regulated learning includes a few metacognitive strategies. …”
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Joint embedding–classifier learning for interpretable collaborative filtering by Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

“…Results We introduce the novel Joint Embedding Learning-classifier for improved Interpretability (JELI). …”
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