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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Predicting noncontact injuries of professional football players using machine learning by Diogo Nuno Freitas, Sheikh Shanawaz Mostafa, Romualdo Caldeira, Francisco Santos, Eduardo Fermé, Élvio R. Gouveia, Fernando Morgado-Dias

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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

Subjects: “…Deep learning…”
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Automation of quantum dot measurement analysis via explainable machine learning by Daniel Schug, Tyler J Kovach, M A Wolfe, Jared Benson, Sanghyeok Park, J P Dodson, J Corrigan, M A Eriksson, Justyna P Zwolak

Subjects: “…explainable machine learning…”
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Communication-efficient federated learning method via redundant data elimination by Kaiju LI, Qiang XU, Hao WANG

Subjects: “…federated learning…”
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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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Applying Hybrid Deep Learning Models to Assess Upper Limb Rehabilitation by Sheng Miao, Zitong Liu, Dezhen Wang, Xiang Shen, Nana Shen

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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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Child Friendly Markets As A Means Of Public Learning Space For Children by Dien F Awaliyah, Dinik Fitri Rahajeng Pangestuti, Ihsan Pandu Tauladan, Anifa Nurhayati, Wahyu Lisma Siami

“…This program was designed to meet the needs of a safe, comfortable, and accessible environment for families, where children can play, learn, and interact with others while their caregivers carry out buying and selling activities. …”
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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

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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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Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

Subjects: “…federated learning…”
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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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Customer churn prediction based on the integration of meta-learning network of the forest by LI Longge, ZHENG Kengcheng

“…Experimental results demonstrate that EFML can effectively exploit differences in customer historical behaviors, capture and learn complementary relationships between base tree models. …”
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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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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

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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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Cross-domain service chain mapping mechanism based on Q-learning by Hongqi ZHANG, Rui HUANG, Yingjie YANG, Dexian CHANG, Liancheng ZHANG

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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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