The role of microRNAs in learning and long-term memory by L. N. Grinkevich

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Musical Sequence Learning and EEG Correlates of Audiomotor Processing by Matt D. Schalles, Jaime A. Pineda

“…After training, we recorded EEG of subjects listening to the song they learned to play, a transposed version of that song, and a control song with different notes and sequence from the learned song. …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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An Evaluation of Deep Learning Methods for Small Object Detection by Nhat-Duy Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le

“…With the rapid development in deep learning, it has drawn attention of several researchers with innovations in approaches to join a race. …”
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Using machine learning-based models for personality recognition by Fatemeh Mohades Deilami, Hossein Sadr, Mozhdeh Nazari

Subjects: “…deep learning…”
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The Switchover: Teaching and Learning the Text Encoding Initiative in Spanish by Susanna Allés-Torrent, Gimena del Rio Riande

“…It also examines the challenges faced when teaching TEI in Spanish and takes into consideration two main issues: the still not well-defined DH curriculum in many Spanish-speaking countries and the different pedagogical approaches to the TEI depending on the learning context: face-to-face instruction, distance education, and the Foreign Language Classroom. …”
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ADAPTIVE LEARNING OF HIDDEN MARKOV MODELS FOR EMOTIONAL SPEECH by A. V. Tkachenia

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The Effect of Performance Anticipation on Students’ Recognition in Online Learning by Katherine Ronauly Maharani Silaban, Wilis Srisayekti, Windy Nathasya Saputra, Gabriella Samantha Carmella, Alifatunnisa Hafidza, Rausyan Fikri Muhammad Ilham, Fanny Rizkiyani, Nurul Izzah Binti Shari

“…This experimental research investigated the effect of performance anticipation on students recognition in the context of online learning. Data were collected through online presentation via Zoom and analyzed with between-participants posttest-only control group design. …”
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Platoon intelligence: edge learning in vehicle platooning networks by Junhui Zhao, Xiaoting Ma, Wenqi Yang, Huaicheng Li, Dongming Wang

“…In this paper, we investigate a platoon intelligence-based edge learning (PIEL) framework for the deep integration of terminal and network edge. …”
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Human Resource Information System with Machine Learning Integration by Jake R. Pomperada

“… The human resource information system with machine learning integration was developed to aid in the management of employees’ records, profiling, turnover, data analytics, and the generation of electronic personal data sheets used by the government service records. …”
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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases by Mosleh Hmoud Al-Adhaileh, Ebrahim Mohammed Senan, Waselallah Alsaade, Theyazn H. H Aldhyani, Nizar Alsharif, Ahmed Abdullah Alqarni, M. Irfan Uddin, Mohammed Y. Alzahrani, Elham D. Alzain, Mukti E. Jadhav

“…This paper introduces three networks, GoogleNet, ResNet-50, and AlexNet, which are based on deep learning and evaluates them for their potential in diagnosing a dataset of lower gastrointestinal diseases. …”
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Development of blended learning media on similarity and congruence topics by Ismet Ismet, Yerizon Yerizon, Ahmad Fauzan, Ali Asmar

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Debriefing’s Influence on Learning in Business Game: An Experimental Design by Adonai Jose Lacruz, Bruno Luiz Américo

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Minimal difference sampling for active learning image classification by Jian WU, Sheng-li SHENG, Peng-peng ZHAO, Zhi-ming CUI

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Planning the assessment of learning outcomes in educational programs design by A. I. Chuchalin, A. V. Epikhin, E. A. Muratova

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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

Subjects: “…vertical federated learning…”
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Learning and forecasting open quantum dynamics with correlated noise by Xinfang Zhang, Zhihao Wu, Gregory A. L. White, Zhongcheng Xiang, Shun Hu, Zhihui Peng, Yong Liu, Dongning Zheng, Xiang Fu, Anqi Huang, Dario Poletti, Kavan Modi, Junjie Wu, Mingtang Deng, Chu Guo

“…Here we propose a physics-inspired supervised machine learning approach to efficiently and accurately predict the functioning of quantum processors in the presence of correlated noise, which only requires data from randomized benchmarking experiments. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…In this study, an estimation method based on machine learning was developed to identify individuals with acute appendicitis. …”
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Research on host malcode detection using machine learning by Dong ZHANG, Yao ZHANG, Gang LIU, Gui-xiang SONG

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User Assessment in Serious Games and Technology-Enhanced Learning by Francesco Bellotti, Bill Kapralos, Kiju Lee, Pablo Moreno-Ger

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