Quantitative Analysis of Vertical and Temporal Variations in the Chlorophyll Content of Winter Wheat Leaves via Proximal Multispectral Remote Sensing and Deep Transfer Learning by Changsai Zhang, Yuan Yi, Shuxia Zhang, Pei Li

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Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer by Huanran He, Suxiang Yao, Anning Huang, Kejian Gong

“…In this study, the European Center for Medium-Range Weather Forecasts (ECMWF) model hindcast, which participates in the S2S prediction project, is systematically assessed by focusing on the hindcast quality for the summer accumulated ten-day precipitation at lead times of 0–30 days during 1995–2014 in eastern China. …”
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Investigating the Effect of Winding Structures in Dynamic Wireless Power Transmission in Electric Vehicle Applications by M. Rafinejad, A. Ghayebloo

“…In this paper, the winding function method is used for more accurate modeling of coils in terms of spatial harmonics and calculation of their self and mutual inductances by changing the location of the vehicle. …”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…However, the inherent spatio-temporal coupling characteristics and cross-period long-range dependency of sensor data cause traditional time-series prediction methods to face performance bottlenecks in feature decoupling and multi-scale modeling. …”
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District Effect Appraisal in East Sub-Saharan Africa: Combating Childhood Anaemia by Danielle J. Roberts, Temesgen Zewotir

“…A generalised additive mixed model with a spatial effect based on the geographical coordinates of the clusters was used. …”
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Integration of Remote Sensing and GIS for Urban Sprawl Monitoring in European Cities by Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Dimitrios Kalfas, Fotios Chatzitheodoridis, Fani Tziampazi

“…The tested decision support framework proved efficient for scenario modeling and predictive spatial analysis for sustainable urban growth. …”
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Forecasting Wind Speed Using Climate Variables by Rafael Araujo Couto, Paula Medina Maçaira Louro, Fernando Luiz Cyrino Oliveira

“…This study modeled wind speed series in Rio Grande do Norte, Paraíba, Pernambuco, Alagoas, Sergipe, Rio Grande do Sul, and Santa Catarina, considering the spatial correlation between these states through PARX-Cov modeling. …”
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Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression by Yizi Cheng, Cole Brokamp, Erika Rasnick Manning, Elizabeth L. Kramer, Patrick H. Ryan, Rhonda D. Szczesniak, Emrah Gecili

“…We embedded the hypercube within a dynamic prediction model of rapid lung function decline, in order to accommodate complexity in lung function trajectories. …”
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3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

“…Second, this research is the first to develop a coupled poroelastic-fracture model incorporating Analytic Hierarchy Process (AHP)-based size deviation indices, achieving permeability prediction errors of ≤ 4.84 % compared to experimental data, substantially improving upon existing models' typical 8–12 % error margins. …”
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Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

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Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks by Wanhyuk Seo, Eomzi Yang, Tae Sup Yun

“…The research objectives were to: (1) establish empirical correlations between N and K, (2) develop a robust prediction model with quantifiable bounds, and (3) demonstrate practical applications for enhanced subsurface characterization. …”
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New Approach for Unambiguous High-Resolution Wide-Swath SAR Imaging by Yueguan Lin, Yida Fan, Hai Jiang, Wei Wang

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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

“…To address this, this study proposes an interpretable graph representation model for accurate plant RRI prediction. The model enriches sample information by extracting features of different bases from plant RNA data and reconstructs these features using an algorithmic hierarchy approach to capture more complex patterns. …”
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Quantifying the Impact of Sports Stadiums on Urban Morphology: The Case of Jiangwan Stadium, Shanghai by Hanyue Lu, Zong Xuan

“…Employing Point of Interest (POI) data, ArcGIS spatial analyses, chi-square tests, and linear regression-based predictive modeling, we illustrate how the stadium has catalyzed urban regeneration and functional diversification over nearly a century. …”
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Crop Statistic to Annual Map: Tracking spatiotemporal dynamics of crop-specific areas through machine learning and statistics disaggregating by Xiyu Li, Le Yu, Zhenrong Du, Xiaoxuan Liu

“…In our framework, we collected related spatial indicator used in previous studies and trained random forest regression models to predict spatiotemporal dynamics of crop-specific areas based on them. …”
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Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition by Supria Sarkar, Vasit Sagan, Sourav Bhadra, Felix B. Fritschi

“…Among the seed traits, sucrose yielded the highest predictive performance with RFR model. Finally, the feature importance analysis revealed the importance of MKSF-generated vegetation indices from fused images.…”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…The LAM method was estimated wider range of the SOC change (SOC = 0.18–4.82%) among different simulation model. However, the RF model (R2 = 0.64 and RMSE = 0.58%) was the most accurate in predicting SOC quantity comparing the other simulation models. …”
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A multistudy analysis reveals that evoked pain intensity representation is distributed across brain systems. by Bogdan Petre, Philip Kragel, Lauren Y Atlas, Stephan Geuter, Marieke Jepma, Leonie Koban, Anjali Krishnan, Marina Lopez-Sola, Elizabeth A Reynolds Losin, Mathieu Roy, Choong-Wan Woo, Tor D Wager

“…In this multistudy analysis of 376 participants across 11 studies, we compared multivariate predictive models to investigate the spatial scale and location of evoked heat pain intensity representation. …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…Accurately representing the spatial distribution of soil thickness is important for various models of earth surface processes. …”
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Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests by Jing Guo, Jinmei Wang, Yuxin Qiao, Xu Huang, Nicholas G. Smith, Zhiyong Liu, Rui Zhang, Xiuzhi Chen, Chaoyang Wu, Josep Peñuelas, Lei Chen

“…It is crucial to consider these greening‐induced alterations in microclimate conditions when modeling changes in tree phenology under future climate warming scenarios.…”
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