Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements by Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

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Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files by Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan, Khalil El Hindi, Anand Mahendran

“…While numerous Machine Learning (ML) techniques have been proposed for this purpose, a significant challenge arises due to the memory requirements for storing the extracted features. These features, resembling unstructured vocabulary features in natural language processing, need to be converted into a rectangular matrix for input into a classification model during training. …”
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A subregional prediction model for radiation-induced hypothyroidism by Wenting Ren, Ziqi Pan, Kuo Men, Bin Liang, Qingfeng Xu, Junlin Yi, Jianrong Dai

“…After extracting 1781 radiomics features and 1767 dosiomics features, a subregional RHT prediction model was established, and its performance was compared with that of the whole thyroid model. …”
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Automated detection of submarine pipelines in the Yellow River Estuary: a deep learning approach for side-scan sonar data in dynamic deltaic systems by Min Wei, Min Wei, Yongqing Yu, Xing Du, Yupeng Song, Lifeng Dong, Qikun Zhou, Linfeng Wang, Longying Zhang, Yamei Wang

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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…The dilated convolution layers can retrieve fine spatial features, whereas Swin models are designed to obtain global information. …”
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Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA by Zhenyu Zhao, Shucheng Tan, Yiquan Yang, Qinghua Zhang

“…This mechanism improves the model’s ability to emphasize landslide edge features and is integrated with the ResUNet model, forming the ResUNet–BFA architecture for landslide identification. …”
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VMD and CNN-Based Classification Model for Infrasound Signal by Quanbo LU, Mei LI

“…The traditional classification approach extracts the features and classifies the infrasound events. However, due to the manual feature extraction, its classification performance is not satisfactory. …”
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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Specifically, TLMR first employs a Position-aware Graph Neural Network to learn features of intersections from the road network, incorporating context features like weather and traffic conditions. …”
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Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features by Gang Liang, Suxin Zhang, Yiquan Zheng, Wenqing Chen, Yuan Liang, Yumeng Dong, Lizhen Li, Jianding Li, Caixian Yang, Zengyu Jiang, Sheng He

“…The best-performing model out of the 3 types (radiomics, clinical imaging, comprehensive) was identified using receiver operating characteristic (ROC) curve analysis, and used to construct the predictive nomogram. …”
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Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

“…It was found that YOLOv5 and YOLOv8 outperform other models in all three aspects due to their novel performance features. …”
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Application of Improved LSTM Model in Runoff Simulation in Arid Region of Northwest China: A Case Study of the Zuli River by SONG Haiping, TANG Yiran, DANG Wentao, WANG Yibo

“…The results indicate that: ① The improved LSTM model demonstrates superior performance in simulating the Zuli River, validating the adaptability of the improved strategies for complex hydrological processes. ② The GWO algorithm significantly enhances the model's prediction accuracy in the basin, confirming the effectiveness of optimization algorithms in parameter calibration. ③The GWO-LSTM-Attention model requires further validation and optimization for future daily-scale simulations and monthly runoff reconstruction.…”
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Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI by Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Lars-Arne Schaafs, Matthias Haas, Lukas J. Kurz, Bernd Hamm, Sebastian N. Nagel

“…Univariate models for single feature performance and bivariate models implementing PSA density (PSAD) were calculated. …”
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On the Classical Traditions of Azerbaijani Piano Art by Ельнара Меджидова

“…The classical traditions of the Azerbaijani piano culture, laid down by prominent figures, developed as a natural combination of the performance and pedagogical levels. The integrity and completeness of the classical style define the distinctive features of pianism. …”
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Text classification model based on GNN and attention mechanism by ZENG Shuifei, MENG Yao, LIU Jing

“…Addressing the issue of low classification accuracy raised by the poor performance of the model, which is caused by the difficulty in learning from dynamic aggregation unknown neighboring nodes of graph data and insufficient fusion of semantic features, a model named graph attention text classification(GATC) based on graph neural network (GNN) and attention mechanism was proposed. …”
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Differential equations and their applications for mathematical modeling of systems and processes by Masaev Sergey, Ilina Irina, Alimasov Sergey, Korolev Alexander

“…The article also evaluates the ease of use, performance, and flexibility of the software in different modeling scenarios. …”
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Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

“…This renders model features, first and foremost dependency strengths, incomparable and difficult to interpret. …”
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Analysis and modeling of digital solutions in medical database management by Rakhimov Bakhtiyar, Rakhimova Feruza, Saidov Atabek, Saidova Zarina

“…The Viola-Jones method is utilized as a model algorithm for object detection in medical images, implemented using the OpenCV library. …”
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Orbital Behavior Intention Recognition for Space Non-Cooperative Targets Under Multiple Constraints by Yuwen Chen, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

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Classification of Diabetic Retinopathy Based on Efficient Computational Modeling by Jiao Xue, Jianyu Wu, Yingxu Bian, Shiyan Zhang, Qinsheng Du

“…This is a generalized visual skeleton model designed to reduce computational complexity to linear while retaining the advantageous features of ViTs. …”
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Gradient-Tracking Generalized Vertical Coordinate for Ocean Models: Results of Idealized Experiments Using the Regional Oceanic Modeling System (v3.7) by Haiyun Chen, Zhigang Lai

“…A gradient-tracking generalized vertical coordinate (GT) for ocean models is proposed in the study. The movement of the grid height surfaces is based on a simple Arbitrary Lagrangian–Eulerian (ALE) method ensuring that the discrete representation of the main gradient features of ocean states is uniform and small, optimal for the resolution of gradients in the vertical profile throughout the simulation. …”
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