A Model for Predicting Short-Term Operating Speeds of Compact Passenger Vehicles on Interchange Ramps Within Urban Expressway Networks by Tingyu Liu, Lanfang Zhang, Genze Li, Yating Wu, Zhenyu Zhao

“…Three models are established: a short-term operating speed model based on a generalized linear model (GLM), a GLM incorporating for spatial correlation (GLMS), and a deep neural network model considering spatial correlation (DNNS). …”
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CropSTS: A Remote Sensing Foundation Model for Cropland Classification with Decoupled Spatiotemporal Attention by Jian Yan, Xingfa Gu, Yuxing Chen

“…To efficiently pre-train the model under limited labeled data, we employ a hybrid framework combining joint-embedding predictive architecture with knowledge distillation from web-scale foundation models. …”
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A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma by Kuo Kang, Hui Nie, Weilu Kuang, Xuanxuan Li, Yangying Zhou

“…Conclusion In this study, we developed a novel prognostic model comprising 18 TRGs for HCC, which exhibited remarkable accuracy in predicting HCC patients’ prognosis. …”
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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…TCNs can capture long-range temporal dependencies well, while the GCN model has complex spatial relationships and enhanced the features for making yield predictions. …”
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Development of a Weighted Average Ensemble Model for Predicting Officially Assessed Land Prices Using Grid Map Data and SHAP by Surin Im, Kangmin Kim, Geunhee Lee, Hoi-Jeong Lim

“…This study proposes a weighted average ensemble model to predict the Officially Assessed Land Price in Sejong City, South Korea, using 500m <inline-formula> <tex-math notation="LaTeX">$\times 500$ </tex-math></inline-formula>m grid-based spatial data. …”
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Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data by Chunbo Jiang, Xiaoshuai Guo, Yongfu Li, Ning Lai, Lei Peng, Qinglong Geng

“…Furthermore, although the models exhibited comparable prediction accuracy (RMSE: 0.27–0.33 t/ha; R²: 0.61–0.69 across test datasets), their yield prediction spatial distributions varied significantly (e.g., Model 9 predicted a mean yield of 3.88 t/ha with a range of 2.51–4.89 t/ha, versus Model 18 at 3.74 t/ha and 2.33–4.76 t/ha), suggesting the need for further evaluation of spatial stability. …”
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Leveraging Satellite Data for Predicting PM10 Concentration with Machine Learning Models: A Study in the Plains of North Bengal, India by Ayan Das, Manoranjan Sahu

“…To assess model transferability, all five models were utilized to predict PM10 concentrations in the Jalpaiguri region, referencing National Air Quality Monitoring Programme (NAMP) data. …”
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Prediction of spatiotemporal evolution and zoning of ecological sensitivity in the upper reaches of Minjiang river, sichuan, China by Lingfan Ju, Yan Liu, Shunduo Liu, Qing Xiang, Wenkai Hu, Peng Yu

“…In this study, an ecological sensitivity index system is established to quantitatively analyze the interrelationships of ecological factors. The CA-MC model and center of gravity migration are used to investigate the spatial and temporal evolution of ecological sensitivity in the upper Minjiang River basin from 2000 to 2020 and to predict the ecological sensitivity in 2040. …”
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Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy by Changfei Gong, Changfei Gong, Changfei Gong, Yuling Huang, Yuling Huang, Yuling Huang, Junming Jian, Junming Jian, Junming Jian, Wenheng Zheng, Wenheng Zheng, Wenheng Zheng, Xiaoping Wang, Xiaoping Wang, Xiaoping Wang, Shenggou Ding, Shenggou Ding, Shenggou Ding, Yun Zhang, Yun Zhang, Yun Zhang

“…Furthermore, the existing models simply take advantage of low-dimensional dosimetry information, meaning that the spatial features about the complex dose distribution may be lost and limiting the predictive power of the models. …”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This study pioneers a remote sensing-driven, dynamically coupled framework by integrating multi-source satellite data, system resilience theory, and spatial modeling to develop a novel “risk identification–resilience assessment–scenario simulation” chain. …”
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Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting by Chaoyu Ren, Yuezhu Li

“…We also replaced the linear layer in the Gated Recurrent unit with a dynamic graph convolution operation to jointly model spatial-temporal correlation. Finally, we propose a temporal fusion layer with multi-scale features to model accurate temporal semantic information from contextual environment with different window sizes, to further obtain accurate prediction results. …”
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Spatial variation of feature density in multiscale topographic data by T. E. Samsonov, O. P. Yakimova, D. A. Potemkin, O. A. Guseva

“…Resulting model predicts how much higher or lower is the expected spatial density of features over the area in comparison to the average density for the LoD. …”
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Study and Prediction of Land Use/Cover Change in Small and Medium-Sized River Basins in Typical Urbanization Areas by LI Liujie, LIU Bingjun, WEI Qiuying

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Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage by Yutong Chen, Cyprien A. Rivier, Samantha A. Mora, Victor Torres Lopez, Sam Payabvash, Kevin Sheth, Andreas Harloff, Guido J. Falcone, Jonathan Rosand, Ernst Mayerhofer, Christopher D. Anderson

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Spatial distribution shifts of Batocera horsfieldi (Coleoptera: Cerambycidae) and its natural enemies in China under climate change: Implications for biological control by Liang Zhang, Chaokun Yang, Ping Wang, Guanglin Xie, Wenkai Wang

“…The aim of this study was to assess the potential suitable areas for Batocera horsfieldi (Coleoptera: Cerambycidae) and its natural enemies, Dendrocopos major (Piciformes: Picidae) and Scleroderma guani (Hymenoptera: Bethylidae), in the context of climate change and to explore the feasibility of pre-emptive classical biological control strategies. Predictions by ecological niche modelling combined with current and future bioclimatic factors showed that under future climate scenarios, the suitable areas for B. horsfieldi showed a gradual contraction, while the suitable areas for D. major and S. guani were expanding. …”
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AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology by Emran Aljarrah

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Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation by Bouthaina Slika, Fadi Dornaika, Karim Hammoudi

“…Early diagnosis plays a crucial role in preventing complications, necessitating the development of fast and efficient AI-based models for automated severity assessment. <b>Methods:</b> In this study, we introduce a novel approach that leverages VMamba, a state-of-the-art vision model based on the VisualStateSpace (VSS) framework and 2D-Selective-Scan (SS2D) spatial scanning, to enhance lung severity prediction. …”
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Using System‐Inspired Metrics to Improve Water Quality Prediction in Stratified Lakes by Kamilla Kurucz, Cayelan C. Carey, Peisheng Huang, Eduardo R. De Sousa, Jeremy T. White, Matthew R. Hipsey

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Benefits of upstream data for downstream streamflow forecasting: data assimilation in a semi-distributed flood forecasting model by Paul Royer-Gaspard, François Bourgin, Charles Perrin, Vazken Andréassian, Alban De Lavenne, Guillaume Thirel, François Tilmant

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