A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

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Web-Based Specialist Support for Spinal Cord Injury Person’s Care: Lessons Learned by Vincenzo Della Mea, Dario Marin, Claudio Rosin, Agostino Zampa

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Gamification Assisted Language Learning for Japanese Language Using Expert Point Cloud Recognizer by Yogi Udjaja

“…Therefore, a game is needed that allows one to understand Japanese using Gamification Assisted Language Learning (GALL) method, involving the introduction of Japanese language implementation using expert point cloud ($EP) recognizer. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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Medical student experiences of Case-Based Learning (CBL) at a multicultural medical school by Catherine Bruen, Jan Illing, Ronan Daly, Frances Meagher, Caroline Delany, Gozie Offiah, Sally Doherty, Ellen Stuart, Martina Crehan, Helen Kelly

Subjects: “…Case-Based Learning…”
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Auditing the clinical usage of deep-learning based organ-at-risk auto-segmentation in radiotherapy by Josh Mason, Jack Doherty, Sarah Robinson, Meagan de la Bastide, Jack Miskell, Ruth McLauchlan

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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

Subjects: “…Active learning…”
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Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals by Ning Wang, Yang Xu, Hongbin Ma, Xiaofeng Liu

“…To investigate the effects of muscle fatigue on bioinspired robot learning quality in teaching by demonstration (TbD) tasks, in this work, we propose to first identify the emerging muscle fatigue phenomenon of the human demonstrator by analyzing his/her surface Electromyography (sEMG) recordings and then guide the robot learning curve with this knowledge in mind. …”
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The effect of digital literacy levels of sports sciences faculty students on e-learning attitude by Fikret Soyer, Nuri Berk Gungor, Alptug Soyer

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Improving capacity for advanced training in obstetric surgery: evaluation of a blended learning approach by Helen Allott, Alan Smith, Sarah White, Irene Nyaoke, Ogoti Evans, Michael Oriwo Oduor, Steven Karangau, Sheila Sawe, Nassir Shaaban, Ochola Ephraim, Charles Anawo Ameh

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Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions by Kong Xiangchen

“…Deep learning has made a lot of progress in the field of music generation. …”
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Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

Subjects: “…two-stage collective machine learning…”
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ELECTRICITY PRICE FORECASTING IN TURKISH DAY-AHEAD MARKET VIA DEEP LEARNING TECHNIQUES by Arif Arifoğlu, Tuğrul Kandemir

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Didactic Strategies for Autonomous Learning and their Impact on the Health of Students from a University in Lambayeque by Gioconda del Socorro Sotomayor Nunura, Doris Díaz de Angulo, Nelly Dioses Lescano, Humberto Iván Morales Huamán, Roberth Manuel Rivas Manay, José Alberto Silva Siesquén, Antenor Vásquez Muñoz

“…<strong>Foundation:</strong> teaching strategies to promote autonomous learning are cognitive and affective strategies that facilitate: learning to learn, learning to do and learning cooperatively, to establish relationships with peers and achieve health well-being. …”
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Does the Expected Teaching and Learning Take Place in Preprimary Grades in Zambezi Region, Namibia? by Кенет Нзвала

Subjects: “…teaching, learning, kindergarten, children of preschool age, preprimary, primary school students, namibia, zambezi region.…”
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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…At the same time, the deep learning encoder adds layer of protection by concealing an image within another. …”
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Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing and treating dental conditions. Additionally, deep learning for tooth segmentation can focus on relevant treatment information and localize lesions. …”
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The Role of Organizational Learning in Mediating the Relationship between Business Model Design and Innovation Performance by Jia Zhang, Hui Xu, Xiangxia Xiao

“…Furthermore, this paper shows that organizational learning is based on variables that mediate the relationship between training and performance and improve performance through its positive effect on organizational learning. …”
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