A Deep Learning Approach for Mental Fatigue State Assessment by Jiaxing Fan, Lin Dong, Gang Sun, Zhize Zhou

“…This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. …”
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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

Subjects: “…Deep learning…”
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The influence learning used ABC run exercise on the sprint capabilities by Akhmad Sobarna, Sumbara Hambali, Sutiswo Sutiswo, Denok Sunarsi

“…The purpose of this research is to know Influence of Learning through ABC Run Training to ability of sprint. …”
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Self-Supervised Chinese Ontology Learning from Online Encyclopedias by Fanghuai Hu, Zhiqing Shao, Tong Ruan

“…We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. …”
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Lessons Learned from Experimental Human Model of Zinc Deficiency by Ananda S. Prasad

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Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning by Yu Wu, Yan Zeng, Jie Yang, Zhenni Zhao

“…Thirdly, aiming at the problem that traditional classification algorithms are not suitable for complex rumor information recognition, a rumor recognition method based on Stacking ensemble learning is proposed. Our experiment results show that the proposed method has higher accuracy, less algorithm execution time, and better practical application effect.…”
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STAKEHOLDERS’ EVALUATION OF LEARNING OUTCOMES IN EDUCATIONAL QUALITY ASSURANCE SYSTEM by Alexander I. Chuchalin, Marina S. Tayurskaya, Elena A. Muratova

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A Quarter Century of Liver Transplantation: Learning from Livers by Paul C. Adams

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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…This paper proposed a deep-learning-based method to detect bugholes on concrete surface images. …”
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The role of strategic learning skills in the dropout from sport in adolescence by Carla Consoni

“…These skills, learned in the school context, are functional to academic careers, sports, and the wider fields of life. …”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

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Emic definitions of empowerment for just development: learnings from Kenya by Haley Zaremba, Eileen Bogweh Nchanji, Nadia Guettou Djurfeldt, Hanna North, Vanya Slavchevska, Annarita Macchioni Giaquinto

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Preliminary study of lecturer competency analysis in learning at health universities by Novriyanti Achyar, Nurhizrah Gistituati, Hendri Budi Utama, Luthfiani Luthfiani, Indra Jaya

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Popular Song Composition Based on Deep Learning and Neural Network by Jun Kuang, Tingfeng Yang

“…This article combines deep learning to extract note features from the demonstration audio and builds a neural network model to complete the composition of popular music. …”
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Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

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Complex Deep Learning and Evolutionary Computing Models in Computer Vision by Li Zhang, Chee Peng Lim, Jungong Han

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Innovations in pharmaceutical policies and learnings for sustainable access to affordable medicines by Sabine Vogler, Nina Zimmermann, Manuel Alexander Haasis, Verena Knoll, Jaime Espin, Aukje K. Mantel-Teeuwisse, Dimitra Panteli, Fatima Suleman, Veronika J. Wirtz, Zaheer-Ud-Din Babar

“…The conference topics are organised in three strands: Strand 1 on ‘Local challenges, global learnings’ aims to contribute to lively discussions on the implementation of pharmaceutical policies across the globe. …”
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MULTIMODAL DISCOURSE ANALYSIS OF AN ENGLISH LANGUAGE LEARNING TEXTBOOK IN INDONESIA by Kaamilah Tafrijiyah, Merry Andriani

“…The findings indicate that the English learning textbook strongly emphasizes local social and cultural principles, especially in its visuals. …”
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Evaluating the effectiveness of learning ear anatomy using holographic models by Joshua J. Gnanasegaram, Regina Leung, Jason A. Beyea

“…Abstract Background Computer-assisted learning has been shown to be an effective means of teaching anatomy, with 3-D visualization technology more successfully improving participants’ factual and spatial knowledge in comparison to traditional methods. …”
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