An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

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Smoke Alarms and Smoke Screens: The Learning Journey of an Undergraduate by Anne O'Grady

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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

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Enhancing thai fifth-year medical students’ knowledge and attitudes toward palliative care through active learning methods by Thammasin Ingviya, Orapan Fumaneeshoat, Pawita Limsomwong

“…However, medical students often report inadequate training and low confidence in providing palliative care. Active learning methods, including team-based learning (TBL), flipped classrooms (FC), and experiential learning via home visits, have been proposed to enhance palliative care education. …”
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A comprehensive approach to portfolio optimization based on modern mathematical modeling methods by Shkanov Bulat

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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

Subjects: “…support vector method…”
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Exploring Oral History Archives Using State-of-the-Art Artificial Intelligence Methods by Martin Bulín, Jan Švec, Pavel Ircing, Adam Frémund, Filip Polák

“…These archives pose unique challenges and opportunities for computational methods, particularly in self-supervised learning and information retrieval.Objective: This study explores the application of state-of-the-art artificial intelligence (AI) models, particularly transformer-based architectures, to enhance navigation and engagement with large-scale oral history testimonies. …”
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Prediction of quality software quality indicators with applied modifications of integrated gradiates methods by Anton Shantyr, Olha Zinchenko, Kamila Storchak, Andrii Bondarchuk, Yuriy Pepa

“… The article is devoted to modern software systems (SS) and improving their quality using machine learning methods, including the Integrated Gradients (IG) method. …”
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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…To classify socially significant diseases based on environmental indexes of the place of residence, machine learning models were designed. The mathematical basis of machine learning methods is the k-nearest neighbors’ method, multilayer perceptron, and gradient boosting. …”
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Use of AI-methods over MD simulations in the sampling of conformational ensembles in IDPs by Souradeep Sil, Ishita Datta, Sankar Basu

“…AI-driven methods hold significant promise in IDP research, offering novel insights into protein dynamics and therapeutic targeting while overcoming the limitations of traditional MD simulations.…”
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Integrating Elements of LSP Language Teaching and CLIL Methods in the Context of Tertiary Education by Danijela Đorović, Katarina Zavišin

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Detection of Structural Damage After an Earthquake Using GIS and Remote Sensing Methods by Aşır Yüksel Kaya

“…Developments in Geographic Information Systems and Remote Sensing (RS) technologies and innovative approaches emerging in deep learning (DL) supported analysis methods have an important place in disaster research as in every field. …”
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ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models by Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-Garcia, Mario A. T. Figueiredo

“…In the end, the learned models are combined into an ensemble. Thus, the approach goes beyond standard boosting methods, which usually focus on deterministic error correction, by quantifying predictive uncertainty to guide sequential training through dataset manipulation. …”
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RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA‐ELM Algorithm by Meng Xiangdong, Zhang Haifeng, Li Dexin, Dong Yunchang, Zhang Jiajun, Cao Xinyu, Li Gang

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Measuring the Impact of Scene Level Objects: A Novel Method for Quantitative Explanations by Lynn Vonderhaar, Timothy Elvira, Omar Ochoa

“…This paper presents a black box explainability method for additional verification of object detection models by finding the impact of scene level objects on the identification of the classes within the image. …”
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A Multisource Image Matching Method Based on Contrastive Network With Similarity Weighting by Zhen Han, Ning Lv, Tao Su, Yoong Choon Chang, Chen Chen

“…In this article, we propose an image matching method based on the contrastive network with similarity statistics weighting for MRS registration. …”
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Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features by Adisaputra Zidha Noorizki, Heri Pratikno, Weny Indah Kusumawati

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A Method for Hand Dorsal Vein Recognition Based on Frangi and Morphological Operation by Xiaoling Xie, Xiaorui Xu, Junxi Zheng, Xiaocui Sun

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SNMatch: An Unsupervised Method for Column Semantic-Type Detection Based on Siamese Network by Tiezheng Nie, Hanyu Mao, Aolin Liu, Xuliang Wang, Derong Shen, Yue Kou

“…Column semantic-type detection is a crucial task for data integration and schema matching, particularly when dealing with large volumes of unlabeled tabular data. Existing methods often rely on supervised learning models, which require extensive labeled data. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

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