Machine learning mathematical models for incidence estimation during pandemics. by Oscar Fajardo-Fontiveros, Mattia Mattei, Giulio Burgio, Clara Granell, Sergio Gómez, Alex Arenas, Marta Sales-Pardo, Roger Guimerà

“…Here, we propose a machine learning approach to estimate the incidence of a pandemic in real-time, using reported cases and the overall test rate. …”
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Machine learning-based authentication of banknotes: a comprehensive analysis by Nadia Ghasem Abadi

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An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning by Fernando Mattioli, Daniel Caetano, Alexandre Cardoso, Eduardo Naves, Edgard Lamounier

“…The choice of a good topology for a deep neural network is a complex task, essential for any deep learning project. This task normally demands knowledge from previous experience, as the higher amount of required computational resources makes trial and error approaches prohibitive. …”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…ConclusionsThis study presents a novel, multimodal machine learning framework for objective pain recognition in postoperative patients. …”
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RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

Subjects: “…Deep Reinforcement Learning…”
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Exploring the effectiveness of the Merdeka curriculum in promoting effective learning practices by Lara Prahastina, Mintasih Indriayu, Matsuri Matsuri

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Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…The paper initially reviews existing machine learning models and their performance in predicting luxury car prices, emphasizing both their strengths and limitations. …”
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Teachers’ Perspectives on Teaching and Learning during the Pandemic in the United States by Ximena D. Burgin, Mayra C. Daniel, Teresa A. Wasonga

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The influence of the secondary school-learning examination in mathematics on the studies at the university by Stasys Čirba, Jonas Daunoravičius

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Blockchain based adaptive federated learning in computational power network by LIU Tianrui, WANG Lianhai, WANG Qizheng, XU Shujiang, ZHANG Shuhui, WANG Yingxiaochun

Subjects: “…federated learning…”
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Literature Review of Machine Learning and Threat Intelligence in Cloud Security by Rrezearta Thaqi, Bujar Krasniqi, Artan Mazrekaj, Blerim Rexha

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Challenges in Designing Blended Learning: the Experience of the “Schools of Instructional Design” by E. A. Drugova, I. I. Zhuravleva, M. G. Aiusheeva

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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

“…Journal of Teaching and Learning with Technology…”
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Interdisciplinarity: a Current Need to Improve the Teaching-Learning Process by Lizgrace Llano Arana, Miriam Gutiérrez Escobar, Addys Stable Rodríguez, María Cristina Núñez Martínez, Rosa María Masó Rivero, Bárbara Rojas Rivero

“…This paper aims to update scholars about the possibilities offered by interdisciplinarity to improve the teaching-learning process. The theoretical and methodological premises of interdisciplinarity are analyzed through a literature review. …”
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BOOK REVIEW: IN THIS WORLD OF WONDERS. MEMOIR OF A LIFE IN LEARNING by M. Laubscher

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Students’ perception about the aspects that support learning in the Medicine career by Rodolfo Javier Rivero Morey, Lya del Rosario Magariño Abreus, Jeisy Rivero Morey, Mabel Rocha Vázquez

“…<br /><strong>Objective</strong>: to characterize the students’ perception about the aspects that support learning in the Medicine career.<br /><strong>Methods</strong>: descriptive, cross-sectional study from January to March 2020. …”
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Social exclusion as a side effect of machine learning mechanisms by A. G. Tertyshnikova, U. O. Pavlova, M. V. Cimbal

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Approach of target tracking combining particle filter and metric learning by Hongyan WANG, Libin ZHANG, Guoqiang CHEN, Zumin WANG, Zhiyuan GUAN

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Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

Subjects: “…Transfer learning…”
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Language learning policies and opportunities for migrants and their practical implementation in Austria by Eva Konrad, Viktoria Ebner, Benjamin Kremmel

“…The principal objective of the paper is to describe how language policies are operationalized through the implementation of language requirements, learning opportunities and language tests for migrants.  …”
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