Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…Among them, the Deep Neural Network has the best overall performance compared to the other three machine learning models. The research in this paper has certain research significance for the research of machine learning in personal loan default risk assessment.…”
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Evaluative methodological proposal in the performance of the teaching learning process in the university policlinic by Maricel Castellanos González, Jorge Cañellas Granda, Mikhail Benet Rodríguez, Luis Senén Rodríguez Fernández

“…The instruments to be used for the evaluation of the implementation in the teaching learning process of this new pedagogical model were proposed. …”
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Social and emotional learning - Portuguese and Spanish teachers’ representations and classroom practices by Marco Ferreira, Marco Ferreira, José Reis-Jorge, José Reis-Jorge, Gustau Olcina-Sempere

Subjects: “…social and emotional learning…”
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Online peer-tutoring: a renewed impetus for autonomous English learning by Luis Ignacio Herrera Bohórquez, José David Largo Rodríguez, John Jairo Viáfara González

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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

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Accelerated enzyme engineering by machine-learning guided cell-free expression by Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric G. Hammarlund, Ashty S. Karim, Michael C. Jewett

“…To address this challenge, we develop a machine learning (ML)-guided platform that integrates cell-free DNA assembly, cell-free gene expression, and functional assays to rapidly map fitness landscapes across protein sequence space and optimize enzymes for multiple, distinct chemical reactions. …”
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Digital Management and Optimization of Tourism Information Resources Based on Machine Learning by Xueqiu Zhuang, Huihua Jiao, Li Kang

“…The digital management of tourism information resources based on machine learning can optimize the tourism industry and promote its development.…”
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Perineuronal nets in motor circuitry regulate the performance of learned vocalizations in songbirds by Xinghaoyun Wan, Angela S. Wang, Daria-Salina Storch, Vivian Y. Li, Jon T. Sakata

“…Consequently, it is critical to understand the factors that regulate the performance of learned vocalizations. Across taxa, neural circuits underlying motor learning and control are replete with perineuronal nets (PNNs), and we analyzed how PNNs in vocal motor circuitry regulate the performance of learned song in zebra finches. …”
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The Construction of Adaptive Learning for Sports Based on Aerobics Trajectory Recognition Model by Chaojie Xi

“…Perceiving the movement track of aerobics is a key element of learning aerobics, but the current aerobics movement is not very professional, the ability to identify the movement track is weak, and improper movement in the movement process is easy to cause physical injury. …”
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Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing by Wang Feng, Sihai Tang, Shengze Wang, Ying He, Donger Chen, Qing Yang, Song Fu

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Relation Between Quantum Advantage in Supervised Learning and Quantum Computational Advantage by Jordi Perez-Guijarro, Alba Pages-Zamora, Javier R. Fonollosa

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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

“…After the introduction of online learning mechanism, the traditional target tracking algorithm in football game video based on TLD has good tracking ability, but it will lose the target when the target is seriously obscured. …”
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TRANSFER LEARNING BASED OFFLINE YORÙBÁ HANDWRITTEN CHARACTER RECOGNITION SYSTEM by OLUWASHINA OYENIRAN, EBENEZER OYEBODE

Subjects: “…deep learning, Yorùbá, handwritten, character, recognition…”
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A Systematic review of the literature on learning and teaching of wave-particle duality by Laura Buteler, Luciano Ferrufino, Nicolas Velasco, Nicolás Gandolfo, Dayana Alvarez

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Social observation differentially affects prosocial learning of selfish and prosocial people by Yuri Kim, Kun Il Kim, Hackjin Kim

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Flow-Mediated Dilatation: Learning Curve Study with a Novice Operator by Arko S. Dhar, Marie Fisk, Carmel M. McEniery, Domonkos Cseh

“…Our aim was to present the detailed learning curve of a novice operator. Methods Following a one-week basic training period, the operator performed duplicate measurements on 6–8 individuals per week, for six weeks. …”
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Unsupervised learning trajectory anomaly detection algorithm based on deep representation by Zhongqiu Wang, Guan Yuan, Haoran Pei, Yanmei Zhang, Xiao Liu

“…Therefore, a novel trajectory anomaly detection algorithm is present in this article. Unsupervised learning mechanism is used to overcome nonground-truth problem and deep representation method is used to represent trajectories in a comprehensive way. …”
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A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy by Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, Jin Liu

“…Based on this knowledge, the inner variable learning (IVL) strategy helps the particle to inspect the relation among its inner variables, determine the exemplar variable for all other variables, and then make each variable learn from the exemplar variable in terms of their quantitative relations. …”
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Rapid literature mapping on the recent use of machine learning for wildlife imagery by Nakagawa, Shinichi, Lagisz, Malgorzata, Francis, Roxane, Tam, Jessica, Li, Xun, Elphinstone, Andrew, Jordan, Neil R., O'Brien, Justine K., Pitcher, Benjamin J., Van Sluys, Monique, Sowmya, Arcot, Kingsford, Richard T.

“…Machine (especially deep) learning algorithms are changing the way wildlife imagery is processed. …”
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Attentive Self-supervised Contrastive Learning (ASCL) for plant disease classification by Getinet Yilma, Mesfin Dagne, Mohammed Kemal Ahmed, Ravindra Babu Bellam

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