Evaluation of the Relation Between Democracy and the Political Participation Over Türkiye by Gizem Kabasakal, Abdulvahap Akıncı

“…Political participation is one of the most defining features of democratic practices that date back to ancient Greece. …”
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Dynamic graph attention network for local leisure event recommendation in event-based social networks by Xia Peng, Yazhao Wu, Zhiming Gui, Yitian Liu, Zhou Huang, Yi Bao

“…The model extracts event features, mines user preferences from historical events, models social relationships using graph attention networks, and captures recent preference features through temporal social networks with long short-term memory networks. …”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Health Modeling — An Innovative Educational Program for the General Medicine Specialty by M. M. Litvinova, M. S. Khamidulina, T. M. Litvinova, Yu. A. Lutokhina, E. N. Dudnik, N. V. Kireeva, K. V. Ivashkin, B. A. Volel

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Fault Diagnosis of Train Bogie Bearing Based on Multi-scale Sample Entropy Improved Extreme Learning Machine by JIN Zhenzhen, HE Deqiang, MIAO Jian, XU Weichang

“…Firstly, fault features are extracted by using the multi-scale sample entropy to form a feature vector set. …”
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The Use of Econometric Methods for Analyzing the Market of Present Day Manufactured Toys by R. V. Gavva, E. N. Lozhkomoeva

“…It is shown that specificity of industry, features of its development influence the expediency of using concrete methods, models, information technologies, ways of processing statistic information, analysis and forecast of its indices. …”
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Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

“…Insulator defect detection is important in ensuring power systems’ safety and stable operation. To solve the problems of its low accuracy, high delay, and large model size in complex environments, following the principle of progressive extraction from high-entropy details to low-entropy semantics, an improved YOLOv8 target detection network for insulator defects based on bidirectional weighted feature fusion was proposed. …”
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Broad learning system based on attention mechanism and tracking differentiator by LIAO Lüchao, ZOU Weidong, YANG Jialong, LU Huihuang, XIA Yuanqing, GAO Jianlei

“…However, it also has drawbacks such as insufficient feature learning capability and unstable generalization performance. …”
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FML-Swin: An Improved Swin Transformer Segmentor for Remote Sensing Images by Tianren Wu, Wenqin Deng, Rui Lin, Junzhe Jiang, Xueyun Chen

“…Due to the complex background, occlusion overlap and small scale target of urban remote sensing image, the semantic segmentation results have some defects such as target confusion and similarity, target boundary ambiguity, and small scale target omission. To solve the above problems, a feature-interactive fusion and multi-scale detail sensing lightweight enhanced Swin Transformer (FML-Swin) is proposed. …”
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PFARN: Pyramid Fusion Attention and Refinement Network for Multiscale Ship Detection in SAR Images by Ke Li, Hang Yu, Suqi Li, Shanhu Chen, Bailu Wang

“…First, a shape scale convolution is used to improve the focus and extraction of mutiscale-ship features. Second, the feature maps are fused with pyramid fusion attention, which is based on self-attention and Gaussian cross-attention, ensuring alignment of both the semantic and spatial information. …”
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Fine-grained point cloud classification based on hierarchical feature enhancement. Journal of Zhejiang University (Science Edition),2025,52(1):70⁃80(基于层次特征增强的细粒度点云分类)... by 白静(BAI Jing), 刘路(LIU Lu), 郑虎(ZHENG Hu), 蒋金哲(JIANG Jinzhe)

“…Aiming at the problem of insufficient local feature extraction of general point cloud classification methods in fine-grained classification tasks, we propose a point cloud-oriented 3D model classification framework, HFE-Net. …”
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Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review by Álex Paz, Broderick Crawford, Eric Monfroy, José Barrera-García, Álvaro Peña Fritz, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Yáñez

“…These nature-inspired algorithms, derived from biological and ecological processes, align with bio-inspired principles by mimicking natural intelligence to solve complex problems in high-dimensional feature spaces. Unlike prior reviews that adopt broader scopes combining corporate, sovereign, and individual contexts, this work focuses exclusively on methodological strategies for individual credit risk. …”
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Sovereignty vs Development. Belarusian Economy in the Context of Current Trends in World Development by V. A. Shamakhov, N. M. Mezhevich

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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…This can lead to insufficient feature extraction capability. At the same time, there is a high degree of overlap between the generated data due to the low category differentiation of the real data. …”
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Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of Electromechanical Equipment in Rail Transit Stations by Jing Xiong, Youchao Sun, Junzhou Sun, Yongbing Wan, Gang Yu

“…An SSA-CNN-LSTM model is then established to extract effective data features from low-dimensional data with insufficient feature depth through structures such as convolutional layers and pooling layers in a CNN, determine the optimal hyperparameters, automatically optimize the model network size, solve the problem of the difficult determination of the neural network model size, and achieve accurate prediction of the fault rate of station electromechanical equipment. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

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Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…IntroductionDrug safety has increasingly become a serious public health problem that threatens health and damages social economy. …”
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Influence of Oil Temperature of Yaw Damper on Dynamic Performance by XU Tengyang, CHI Maoru, TIAN Xiangyang, GUO Zhaotuan, DAI Liangcheng, KUANG Chengxiao

“…It could be concluded that: oil temperature had a significant influence on dynamic feature of yaw damper, and lower temperature was much more obvious than higher. …”
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HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images by Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang

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