A Machine Learning Framework for Urban Ventilation Corridor Identification Using LBM and Morphological Indices by Bu Yu, Peng Xie

“…The results show that the proposed method can accurately predict spatial wind speed patterns and identify both primary and secondary ventilation corridors. …”
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An integrated approach to flood risk assessment using multi-criteria decision analysis and geographic information system. A case study from a flood-prone region of Pakistan by Muhammad Ibrahim, Aidi Huo, Aidi Huo, Aidi Huo, Waheed Ullah, Safi Ullah, Zhao Xuantao

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Improving Tiny Object Detection in Aerial Images with Yolov5 by Ahmed Sharba, Hussain Kanaan

“…This paper proposes improvements to the You Only Look Once version 5 (YOLOv5) model to enhance small object detection. Key modifications include adding a new prediction head with a 160×160 feature map, replacing the Sigmoid Linear Unit (SiLU) activation function with the Exponential Linear Unit (ELU), and swapping the Spatial Pyramid Pooling – Fast (SPPF) module with the Spatial Pyramid Pooling (SPP) module. …”
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UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…Based on the optimal growth inversion model for winter wheat, spatial distribution of wheat growth in the study area is obtained. …”
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Mechanisms and Optimization of Foam Flooding in Heterogeneous Thick Oil Reservoirs: Insights from Large-Scale 2D Sandpack Experiments by Qingchun Meng, Hongmei Wang, Weiyou Yao, Yuyang Han, Xianqiu Chao, Tairan Liang, Yongxian Fang, Wenzhao Sun, Huabin Li

“…Key controlling factors for gas channeling (injection rate, foam quality, permeability contrast) are identified, and a nonlinear predictive model for plugging strength ((<i>S</i> = 0.70<i>C</i>^0.6 <i>k</i>_r^−0.28) (<i>R</i>² = 0.91)) is established. …”
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Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China by Qun Yan, Linfu Xue, Yongsheng Li, Rui Wang, Ke Ding, Zhenglin Xu

“…To improve the model’s ability to learn the complex variations in geospatial features, we employ the Conformer deep learning model for gold prospectivity prediction. …”
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Specific features of cognitive skill development in athletes of situational sports by Vyacheslav Romanenko, Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Anatoly Abdula, Nataliia Sereda, Yaroslav Yatsiv

“…Based on discriminant analysis of the psychophysiological testing results, a model with a predictive accuracy of 72.5% was developed, allowing for the classification of respondents into their respective sport groups (football, judo, taekwondo). …”
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Spatiotemporal differentiation and evolution trend of green and low-carbon development performance in the National Major Strategic Regions by CHEN Minghua, SHI Nan, ZHANG Bianxiu, XIE Linxiao

“…Further subdividing the factors, environmental pollution control productivity differences and net carbon emission reduction productivity differences were the main driving forces for regional disparities in green and low-carbon development performance. (3) The green and low-carbon development performance of the Major Strategic Regions was generally high, but there was a trend of spatial polarization. …”
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Evaluating Regional Variability in Road Closure Outcomes Due to Rainfall: a Logistic Regression Approach by H. Zhong, D. Liang, D. Liang

“…Finally, a watershed delineation approach substantially improved the model's predictive power and sensitivity.</p>…”
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Error Quantification of Gaussian Process Regression for Extracting Eulerian Velocity Fields from Ocean Drifters by Junfei Xia, Mohamed Iskandarani, Rafael C. Gonçalves, Tamay Özgökmen

“…Using six metrics, GPR predictions are evaluated on a double-gyre model and a Navy Coastal Ocean Model (NCOM). …”
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Control Performance and Preliminary Application Investigation of Novel Rotational Impact Dampers by SHEN Junjie, WANG Jingjing

“…While it is less effective than TMDs under unchanged structural dynamics in rigid structures, the RID maintains stable vibration reduction as structural characteristics vary and does not require increased spatial capacity with load increments. …”
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Assessing GFDL‐ESM4.1 Climate Responses to a Stratospheric Aerosol Injection Strategy Intended to Avoid Overshoot 2.0°C Warming by Shipeng Zhang, Vaishali Naik, David Paynter, Simone Tilmes, Jasmin John

“…This research highlights the importance of considering model structural uncertainties and forcing spatial patterns for a comprehensive evaluation of future scenarios and geoengineering strategies.…”
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MT-CMVAD: A Multi-Modal Transformer Framework for Cross-Modal Video Anomaly Detection by Hantao Ding, Shengfeng Lou, Hairong Ye, Yanbing Chen

“…Video anomaly detection (VAD) faces significant challenges in multimodal semantic alignment and long-term temporal modeling within open surveillance scenarios. Existing methods are often plagued by modality discrepancies and fragmented temporal reasoning. …”
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The Effects of Low-Impact Development Best Management Practices on Reducing Stormwater Caused by Land Use Changes in Urban Areas: A Case Study of Tehran City, Iran by Sajedeh Rostamzadeh, Bahram Malekmohammadi, Fatemeh Mashhadimohammadzadehvazifeh, Jamal Jokar Arsanjani

“…Then, by using a combination of geographic information system-based multi-criteria decision analysis (GIS-MCDA) method and spatial criteria, four types of LID-BMPs, including bioretention basin, green roof, grass swale, and porous pavement, were located in the study area. …”
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Economic Growth Targets, Innovation Transformation, and Urban Carbon Emissions: An Empirical Study of the Yangtze River Delta by Dongsheng Yan, Ningru Wang, Yimeng Guo, Xiangwanchen Wang, Wei Sun

“…Then, we explore the mechanism by which economic growth target affects carbon emissions with the mediation effect model and moderation effect model. The results reveal that economic growth targets are beneficial for carbon reduction, and innovation development from innovation transformation is an important mechanism driving carbon emissions reduction, but the effects of different innovation outputs exhibit notable variations. …”
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Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM) by Baoyi Zhang, Jiacheng Tang, Yuke Huan, Lei Song, Syed Yasir Ali Shah, Lifang Wang

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Numerical simulation of UGS facilities rebuilt from oil reservoirs based on the coupling of seepage and temperature fields by HE Haiyan, LIU Xianshan, GENG Shaoyang, SUN Junchang, SUN Yanchun, JIA Qian

“…To improve the accuracy of index prediction for a UGS rebuilt from a complex fault block oil reservoir, combined with fluid viscosity-temperature and high-velocity turbulence experiments, a coupled mathematical model of seepage and temperature is established. …”
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Crowding results from optimal integration of visual targets with contextual information by Guido Marco Cicchini, Giovanni D’Errico, David Charles Burr

“…Each of these predictions were supported, and could be simulated with ideal-observer models that maximize performance. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…Conclusion The DRG-based prognostic model demonstrated strong predictive power in COAD, highlighting the potential of DRGs as therapeutic targets. …”
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Integrating Machine Learning and Geospatial Data for Mapping Socioeconomic Vulnerability to Urban Natural Hazard by Esaie Dufitimana, Paterne Gahungu, Ernest Uwayezu, Emmy Mugisha, Jean Pierre Bizimana

“…Among these, MLP achieved the best predictive performance, with an AUC score of 0.902 and an F1-score of 0.86. …”
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