The chatting gathering as a methodological strategy in in-service learning: moving along dialogical dynamics by María José Alonso, Maite Arandia, Miguel Loza

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Use of Mnemonics as Teaching and Learning Adjuvant for Ayurveda Undergraduate Students: A Research Protocol by Preeti Sujit Borkar, Bharat Rathi, Monika Luharia, Rushikesh Thakre

“…The parameters for evaluation will include pretests and post-tests using the traditional teaching and learning method alongside the mnemonic teaching and learning method as its supplement. …”
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Two-Dimensional Human Pose Estimation with Deep Learning: A Review by Zheyu Zhang, Seong-Yoon Shin

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Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

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An Experience of Jigsaw as a New Educational Method in Dentistry by Atekeh Movaghari pour, Mostafa Sadeghi, Foad Iranmanesh, Fatemeh Sadat Emami, Faezeh Esmaeili Ranjbar

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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

“…Despite the significant amount of collected diagnostic data, education managers underutilize machine learning methods to improve the accuracy of predicting academic performance. …”
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An Intelligent Diagnosis Method for NIID Based on Cross Self-supervision and DWI by CAO Fei, XU Qianqian, CHEN Hao, ZU Jie, LI Xiaowen, TIAN Jin, BAO Lei

“…This research proposes a deep learning method based on cross self-supervision, alongside the construction of Co-ResNet50 and CO-ViT models for intelligent auxiliary diagnosis of NIID. …”
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Adaptive Control of an Inverted Pendulum by a Reinforcement Learningbased LQR Method by Uğur Yıldıran

“…Inverted pendulums constitute one of the popular systems for benchmarking control algorithms. Several methods have been proposed for the control of this system, the majority of which rely on the availability of a mathematical model. …”
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Implementation of advanced methods in engineering professional education by Yuliia Bielova-Oleynik, Hanna Mosiienko, Larysa Tereminko, Oleksandr Khytko, Mykola Madinov

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Using Computational Methods to Explore Law in Sermons by Markus M. Totzeck, Valentin Fuchs

“…In this article, we present the first findings of the ongoing <i>RUNIP</i> project, in which computer-assisted methods are used and validated in sermon analysis. …”
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On ultrafast x-ray scattering methods for magnetism by R. Plumley, S. R. Chitturi, C. Peng, T. A. Assefa, N. Burdet, L. Shen, Z. Chen, A. H. Reid, G. L. Dakovski, M. H. Seaberg, F. O’Dowd, S. A. Montoya, H. Chen, A. Okullo, S. Mardanya, S. D. Kevan, P. Fischer, E. E. Fullerton, S. K. Sinha, W. Colocho, A. Lutman, F.-J. Decker, S. Roy, J. Fujioka, Y. Tokura, M. P. Minitti, J. A. Johnson, M. Hoffmann, M. E. Amoo, A. Feiguin, C. Yoon, J. Thayer, Y. Nashed, C. Jia, A. Bansil, S. Chowdhury, A. M. Lindenberg, M. Dunne, E. Blackburn, J. J. Turner

“…As it relates to magnetism and ‘magnetic-type’ systems, advanced scattering methods are being developed for studying ultrafast magnetic responses on the time-scales at which they occur. …”
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Imbalanced Data Problem in Machine Learning: A Review by Manahel Altalhan, Abdulmohsen Algarni, Monia Turki-Hadj Alouane

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An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…The results demonstrated that the accuracies of this method in identifying crack, fracture, hole and normal structures were 87.65%, 87.82%, 96.99%, and 95.25%, respectively. …”
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Multiview clustering method for view-unaligned data by Ao LI, Cong FENG, Yutong NIU, Shibiao XU, Yingtao ZHANG, Guanglu SUN

“…A new challenge for multi-view learning was posed by corrupted view-correspondences.To address this issue， an effective multi-view learning method for view-unaligned data was proposed.First，to capture cross-view latent affinity in multi-view heterogenous feature spaces，representation learning was employed based on multi-view non-negative matrix factorization to embed original features into a measurable low-dimensional subspace.Second, view-alignment relationships were modeled as optimal matching of a bipartite graph, which could be generalized to multiple-views situations via the proposed concept reference view.Representation learning and data alignment were further integrated into a unified Bi-level optimization framework to mutually boost the two learning processes, effectively enhancing the ability to learn from view-unaligned data.Extensive experimental results of view-unaligned clustering on three public datasets demonstrate that the proposed method outperforms eight advanced multiview clustering methods on multiple evaluation metrics.…”
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Modulation recognition method based on multimodal features by Hu Zhang, Yin Kuang, Ronghui Huang, Sheng Lin, Youqiang Dong, Min Zhang

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Detecting command injection attacks in web applications based on novel deep learning methods by Xinyu Wang, Jiqiang Zhai, Hailu Yang

“…Traditional detection methods struggle with the increasing complexity and obfuscation of these attacks, resulting in poor identification of malicious code, complicated feature extraction processes, and low detection efficiency. …”
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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

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Learning Methods to Combine Linguistic Indicators: Improving Aspectual Classification and Revealing Linguistic Insights by Eric V. Siegel, Kathleen R. McKeown

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Exploring Learning and Unlearning (II): Effective Study Methods for the Individual Practice of Professional Singers by Cristina RADU

Subjects: “…learning…”
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