Numerical simulation study of shear-seepage characteristics of fractured network under constant normal stiffness by YU Liyuan, WANG Xiaolin, YANG Hanqing, LIU Richeng, LI Shuchen

“…These insights refine predictive models for hydraulic fracturing, geothermal reservoir management, and subsurface storage under shear-dominated regimes.…”
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A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction by Muhammad Farooq Siddique, Faisal Saleem, Muhammad Umar, Cheol Hong Kim, Jong-Myon Kim

“…The model is initially trained on a controlled laboratory bearing dataset and further validated on real and artificial subsets of the Paderborn bearing dataset, demonstrating strong generalization across diverse fault conditions. t-SNE visualizations confirm clear separability between fault categories, supporting the model’s capability for precise and reliable feature learning and strong potential for real-time predictive maintenance in complex industrial environments.…”
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LMD-YOLO: A lightweight algorithm for multi-defect detection of power distribution network insulators based on an improved YOLOv8. by Weiyu Han, Zixuan Cai, Xin Li, Anan Ding, Yuelin Zou, Tianjun Wang

“…Experimental results show that LMD-YOLO achieves a 2% higher average accuracy on the insulator dataset compared to YOLOv8n, with a 24.6% reduction in model parameters, offering an effective solution for smart grid inspections.…”
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Assessment of yield stability patterns using sentinel-2 over a 7-year period by Svetlana Košánová, Andrej Halabuk, Pavol Kenderessy, Tomáš Rusňák

“…Shapley additive explanation analysis (SHAP) was applied to enhance model interpretation. Notably, elevation, topsoil spectral reflectance (from a Sentinel-2-based bare soil mosaic), topography and field size have been identified as key predictive features for the classification model.…”
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The Influence of Infrastructure on the Breeding Distribution of a Threatened Top Predator by Márton Horváth, Péter Fehérvári, Tamás Szitta, Csaba Moskát

“…The CIE variable was used to build a predictive distribution model for the Hungarian Plain. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

“…For the extraction of glaciers with different scales, multiscale contextual information was represented through Atrous spatial pyramid pooling module. The predicted probability maps were first obtained. …”
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An upscaling framework for estimating regional-scale fractional cover of Chinese fir (FCCF) by integrating UAV and satellite images by Houxi Zhang, Jianwei Cai, Minghui Cai, Xunlong Chen, Yiming Sun, Kun Chen, Shijiang Cao, Jianling Ren

“…Notably, models trained on coarse-resolution data achieve higher predictive accuracy and exhibit lower uncertainty. …”
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Hourglass attention for image super-resolution by Ling Xu, Yian Huang, Xiaoping Lin

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Numerical Analysis of the Preloading Consolidation of the Soft Foundation with a Plastic Drainage Plate by Linjie Li, Shuaidong Yang, Tong Su

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The use of artificial intelligence-based Siamese neural network in personalized guidance for sports dance teaching by Yi Xie, Yao Yan, Yuwei Li

“…The results show that the proposed GCN-SNN model achieves an accuracy of 96.72% and an F1 score of 86.55%, significantly outperforming other comparison models. …”
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Earthquake Recurrence Estimates for Northern Caribbean Faults from Combinatorial Optimization by Uri S. ten Brink, Eric L. Geist

“…Because of our system-modeling approach, such a configuration predicts less frequent earthquakes on EF and western Hispaniola and Muertos convergent zones. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A contrast enhancement filter is applied to highlight key features, thereby improving the model’s learning and fault detection capability. The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Land use classification using multi-year Sentinel-2 images with deep learning ensemble network by J. Jagannathan, M. Thanjai Vadivel, C. Divya

“…Unlike prior works, IRUNet utilizes multi-scale feature fusion and incorporates Test-Time Augmentation (TTA) to enhance prediction robustness. While the data spans multiple years, each year is treated as an independent input without modeling temporal sequences. …”
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Residual Network with Triple-Attention Mechanisms for Knee Osteoarthritis Severity Classification by Tian Hongyu, Cao Wenming, Ran Qiyu

“…The architecture innovatively integrates cross-dimensional attention modules within residual blocks, enabling simultaneous modeling of channel-wise dependencies, spatial correlations, and hierarchical feature relation- ships. …”
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Landslide Hazard Warning in Guangdong-Hong Kong-Macao Greater Bay Area Based on Historical Ranking Rainfall Threshold by JIN Yi, YU Haixia

“…Furthermore, the area under curve (AUC) value of the susceptibility model reaches as high as 0.973. In practical application during June 2018, the warning system accurately predicted 25 rainfall-induced landslide events, with 72% occurring in extremely high-risk warning zones and 28% in high-risk warning zones, validating the model's effectiveness. …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
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Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

“…IntroductionClimate predictability across timescales in a changing climate presents a unique opportunity and challenges for state-of-the-art climate models. …”
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Analyzing the Impact of Binaural Beats on Anxiety Levels by a New Method Based on Denoised Harmonic Subtraction and Transient Temporal Feature Extraction by Devika Rankhambe, Bharati Sanjay Ainapure, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon

“…Initially, a novel Wiener Fused Convo Filter is introduced to capture spatial features and eliminate linear noise in EEG signals. …”
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Influence of Multisensory Perceptions on Thermal Comfort in Heat Wave Weather with Different Heat Pressures by Chang Liu, Wei Wu, Jingyi Ouyang, Jinshan Yan, Lina Tang

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