Learning to Infer Weather States Using Partial Observations by Jie Chao, Baoxiang Pan, Quanliang Chen, Shangshang Yang, Jingnan Wang, Congyi Nai, Yue Zheng, Xichen Li, Huiling Yuan, Xi Chen, Bo Lu, Ziniu Xiao

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CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery by Shiyao Meng, Wei Gong, Siwei Li, Ge Song, Jie Yang, Yu Ding

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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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Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

“…Leaf chlorophyll content, measured for 75 trees using a SPAD meter, served as the dependent variable for predictive modeling and a proxy of trees’ health. Furthermore, three machine learning algorithms, Random Forest (RF), Cubist, and Extreme Gradient Boosting (XGBoost), were employed to predict chlorophyll content. …”
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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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Simulação do deflúvio e vazão de pico em microbacia hidrográfica com escoamento efêmero Surface runoff and peak discharge simulation in ephemeral watershed by Carlos R. Mello, José M. Lima, Antônio M. da Silva

“…Also, a substantial reduction in peak discharge was verified. The modeling showed itself to be precise and effective in relation to the proposed prediction objectives in different scenarios of soil use and ocupation. …”
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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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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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Temperature measuring points selection based on the effect of thermal deformation of components by Haiyang Liu, Xianying Feng, Yandong Liu, Ming Yao, Anning Wang

“…The spatial transmission model is constructed by the transfer mechanism of deformation errors in the mating surfaces and homogeneous coordinate transformation. …”
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Forecasts and insights into Japan’s fiscal future: Machine learning-based projections of city-level taxpayer numbers and total income from 2020 to 2100 by Chao Li, Alexander Ryota Keeley, Shunsuke Managi

“…The study contributes to predictive economic modeling by integrating high-resolution spatial and demographic data with explainable machine learning and offers valuable insights for policymakers navigating Japan’s long-term economic evolution.…”
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A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…This superiority is evidenced by an approximate 5.21% increase in overall profit and a simultaneous reduction in optimization time, thereby demonstrating its effectiveness in capturing complementary spatial and behavioral structures for competitive facility location. …”
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Impact of climate change on the different borders of Iraq's rainy territories by Khudair Ammar Taha

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Economic benefits of a rural distributed flood storage system by Antonio Arenas, Md Asif Rahman, Aaron Strong, Eric Tate

“…The results are highly sensitive to the geospatial accuracy of exposed buildings, and the flood-reduction benefits diminished at larger spatial scales. …”
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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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The use of Geographic Information Systems as innovative tools for sustainable development strategies and enhancing the efficiency of forest sector entities by Lutsiv Nataliia, Pavlo Chukhna

“…The study characterized the results of modeling various forest management scenarios. The models utilized satellite sensing data and GIS spatial models that took into account the level of biodiversity conservation, carbon accumulation, and economic benefits. …”
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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…Moreover, compared to the traditional two-dimensional (feature-time) sample construction method, the proposed three-dimensional (feature-time-procedure) sample space representation method, utilizing ResNet for temporal-spatial feature extraction and local-global feature fusion, further improves the model’s prediction accuracy. …”
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Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances by Syh-Shiuh Yeh, Zhi-Hong Liu

“…A position-dependent periodic disturbance model was developed using multiple position–sinusoidal signals and identified using a spatial fast Fourier transform. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…To address the persistent challenges of computational complexity and efficiency limitations in existing methods, we propose RMIS-Net—an innovative lightweight segmentation network with three core components: a convolutional layer for preliminary feature extraction, a shift-based fully connected layer for parameter-efficient spatial modeling, and a tokenized multilayer perceptron for global context capture. …”
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Susceptibility and Remanent Magnetization Estimates from Orientation Tools in Borehole Imaging Logs by Julio Cesar S. O. Lyrio, Ana Patrícia C. C. Laier, Jorge Campos Junior, Ana Natalia G. Rodrigues, Luciano dos Santos Martins

“…This promising result shows the importance of our methodology in providing reliable information that can minimize uncertainties in forward modeling of magnetic data, which contributes to reduction of hydrocarbon exploration risks. …”
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