Coherent Spectral Feature Extraction Using Symmetric Autoencoders by Archisman Bhattacharjee, Pawan Bharadwaj

“…Extensive experiments across six benchmark hyperspectral datasets show that coherent features extracted by SymAE can be used to achieve state-of-the-art pixel-based classification. …”
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A Second-Classroom Personalized Learning Path Recommendation System Based on Large Language Model Technology by Qiankun Yang, Changyong Liang

“…The system fuses students’ multimodal data (e.g., physiological signals, facial expressions, activity levels, and emotional states), extracts deep features using GPT-4, and generates tailored learning paths based on individual feature vectors. …”
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Machine-Learning-Based Analysis of Internal Forces in Reinforced Concrete Conical and Cylindrical Tanks Under Hydrostatic Pressure Considering Material Nonlinearity by May Haggag, Mohamed K. Ismail, Ahmed Elansary

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Detection Technology for Catenary Stagger Value Based on Acceleration Signals by CHEN Hongming, ZHOU Ning, LU Wenwei, YANG Zixian, CHENG Yao, WANG Dong, ZHANG Weihua

“…Subsequently, the computed indicator and operating speed are used as input features to train, test, and validate an RF model. …”
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Enhancing FT-Transformer With a Matérn-Driven Kolmogorov-Arnold Feature Tokenizer for Tabular Data-Based In-Bed Posture Classification by Bing Zhou, Weiwei Chen

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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…PD signals were collected using a combination of High-Frequency Current Transformer (HFCT) and Ultra High Frequency (UHF) sensors, capturing time-domain waveforms, frequency-domain spectra, and Phase-Resolved Partial Discharge (PRPD) patterns, from which feature quantities were extracted. These features were used to train a novel Genetic Algorithm Weighted Support Vector Machine (GAW-SVM) model, which incorporates an adaptive PJS-M weighting coefficient and a correlation-analysis–based dynamic correction mechanism into the conventional GA-SVM framework. …”
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Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework by Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi

“…These features are fed into an ANN-based level I algorithm using various fusion techniques, offering a more interpretable algorithmic framework. …”
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A Benchmark Dataset for Sentinel-2 Based Forest Type Classification in the Siberian Summergreen-Evergreen Forest Transition Zone by Femke van Geffen, Ronny Hansch, Begum Demir, Stefan Kruse, Ulrike Herzschuh, Birgit Heim

“…We create the equivalent seasonal SiDroTest dataset linked to in situ forest plots for benchmarking the seasonal training dataset. To optimize satellite-based monitoring, we train a random forest classifier on the train dataset to map summergreen and evergreen forest resulting in accuracies of 63% for early summer, 89% for peak summer, and 99% for late summer, with an average accuracy of 82% across all seasons. …”
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Hyperspectral Image Few-Shot Classification Based on Spatial–Spectral Information Complementation and Multilatent Domain Generalization by Qianhao Yu, Yong Wang

“…SIM combines the sample discrimination loss with the classification losses for training. Thus, SIM can extract spatial–spectral features with domain invariance, alleviating the performance degradation on base categories. …”
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Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

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Extended Analysis of Simulation Paradigms and Development of a Mesoscopic Model Based on the Discrete Time Paradigm by Tolujevs Jurijs, Zhumanov Azat, Kegenbekov Zhandos

“…The practical part of the work describes a simulation model of container train movement processes across the territory of the Republic of Kazakhstan. …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The proposed model is trained with three sampling methods: random sampling, which ignores class imbalance present in the acoustic survey data; class-balanced sampling, which ensures equal representation of known categories; and intensity-based sampling, which selects data to capture backscatter variations. …”
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Features of “Inverted” Educational Resources for Distance Learning of Pupils by D. A. Barkhatova, A. L. Simonova, P. S. Lomasko, L. B. Khegay

“…Based on these features, the authors see a special effect of using such resources in the field of additional training. …”
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An Image-Based Intelligent System for Addressing Risk in Construction Site Safety Monitoring Within Civil Engineering Projects by Hijratullah Sharifzada, You Wang, Said Ikram Sadat, Hamza Javed, Khalid Akhunzada, Sidra Javed, Sadiq Khan

“…Traditional safety management strategies, such as manual inspections and safety training, have shown significant limitations. This study presents an intelligent monitoring and analysis system for construction site safety based on an image dataset. …”
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Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations by Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim

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Development Features of the FSES for Tiered and Continuous Higher Education by A. I. Altukhov, M. A. Skvaznikov, A. A. Shekhonin

“…The authors analyze the features, advantages and disadvantages of tiered and continuous higher education. …”
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PSYCHOLOGICAL AND PEDAGOGICAL FEATURES OF TEACHING MEDICAL AND BIOLOGICAL PHYSICS by Fediv Volodymyr, Olar Оlena, Biriukova Tetiana

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AttenFlow: Context-Aware Architecture with Consensus-Based Retrieval and Graph Attention for Automated Document Processing by Xianfeng Zhang, Bin Hu, Shukan Liu, Qiao Sun, Lin Chen

“…Second, we develop adversarial mutual-attention hybrid-dimensional graph attention network (AM-HDGAT) for text, which transforms document classification by modeling inter-document relationships through graph structures while integrating high-dimensional semantic features and low-dimensional statistical features through mutual-attention mechanisms. …”
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Editorial. Board and video games in education: Challenges and opportunities by Marcello Passarelli, Massimiliano Andreoletti, Liliana Silva, Sylvester Arnab

“… Game-Based Learning (GBL) continues to gain traction across educational levels, offering engaging, experiential approaches that foster both disciplinary learning and transversal competences. …”
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Physical and psychological optimization of tele-exercise programs by establishing guidelines by Manuela Cantoia, Giovanna Zimatore, Barbara Matteo, Martina Sausa, Antonio Fabbrizio, Andrea De Giorgio, Angilletta Sonia, Nuno Domingos Garrido, Victor Machado Reis, José Manuel Vilaça-Alves, Gabriela Chaves Lucas, Rafael Peixoto, Filippo Macaluso, Carlo Baldari, Alberto Fucarino, Enzo Iuliano

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