Knowledge in the teaching-learning process – from meeting standards to reflecting on standards by Anne Ryan, Agnieszka Nowak-Łojewska

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Deep learning to decode sites of RNA translation in normal and cancerous tissues by Jim Clauwaert, Zahra McVey, Ramneek Gupta, Ian Yannuzzi, Venkatesha Basrur, Alexey I. Nesvizhskii, Gerben Menschaert, John R. Prensner

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The effect of physical activity in team-based project learning on collaboration skills by Mohammad Agus Prayitno, Sri Haryani, Sri Wardani, Nanik Wijayati, Bimacita Global

“…One of the learning that emphasizes group-based physical activity is Team-based Entrepreneurship Project (TBEP) learning. …”
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Retracted: Deep-Learning-Guided Student Intelligent Classroom Management System by Applied Bionics and Biomechanics

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An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning by Xiangchun Yu, Zhezhou Yu, Wei Pang, Minghao Li, Lei Wu

“…We investigate a novel way of robust face image feature extraction by adopting the methods based on Unsupervised Linear Subspace Learning to extract a small number of good features. …”
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Retracted: Application of Improved Deep Learning Method in Intelligent Power System by International Transactions on Electrical Energy Systems

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Machine Learning ECG Classification Using Wavelet Scattering of Feature Extraction by Heyam A. Marzog, Haider. J. Abd

“…The highest accuracy of classification performance for machine learning approaches are 99.7 for neural network with wavelet scattering features extraction and 99.92 for SVM also with wavelet scattering features extraction. …”
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Final-year students’ perceptions of online integrated primary care learning by Aviva Ruch, Joel Francis, Ann Z. George

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Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

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Making Good Decisions: Television, Learning, and the Cognitive Development of Young Children by David C. Diehl, Stephanie C. Toelle

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Invariant Representation Learning in Multimedia Recommendation with Modality Alignment and Model Fusion by Xinghang Hu, Haiteng Zhang

“…To overcome these challenges, we propose a framework called M³-InvRL, designed to enhance recommendation system performance through common and modality-specific representation learning, invariant learning, and model merging. Specifically, our approach begins by learning modality-specific representations along with a common representation for each modality. …”
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Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles by Daniela Galatro, Manav Shroff, Cristina H. Amon

Subjects: “…adaptive transfer learning…”
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An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security by Mouaad Mohy-Eddine, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…This study designs an intrusion detection model exploiting feature engineering and machine learning for IIoT security. We combine Isolation Forest (IF) with Pearson’s Correlation Coefficient (PCC) to reduce computational cost and prediction time. …”
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Novel Use of an Orbital Atherectomy Device for In-Stent Restenosis: Lessons Learned by K. Shaikh, S. Kelly, M. Gedela, V. Kumar, A. Stys, T. Stys

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Designing of multimedia learning using lectora inspire for informatics education students by Elfi Tasrif

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How is digitalization influencing transformative learning in sports and nursing? : Systematic Review by Tri Johan Agus Yuswanto, Fitriana Kurniasari Solikhah, Naya Ernawati

“… Background: This systematic review aims to assess the current impact of digitalization on transformative learning in the fields of sports and nursing. Specifically, the review evaluates the effectiveness of digital interventions in improving learning outcomes, synthesizes existing evidence on the integration of digital skills in nursing education and the application of digital technologies in sports medicine, and identifies gaps or limitations in the current literature. …”
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New Trend: Application of Laser-Induced Breakdown Spectroscopy with Machine Learning by Zhe Wang

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Evaluation of open and distance learning appying possibilities for scoolchildren extracurricuium education by Liudvikas Kaklauskas

“… Distance learning is one of the new teaching ways that is used in Lithuania. …”
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A Novel Balancing Method for Rotor Using Unsupervised Deep Learning by Shun Zhong, Liqing Li, Huizheng Chen, Zhenyong Lu

“…A novel balancing method for rotor based on unsupervised deep learning is proposed in this paper. The architecture of the proposed deep network is described. …”
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DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning by Hong Lei, Yue Xiao, Yanchun Liang, Dalin Li, Heow Pueh Lee

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