Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite by Dexin Ren, Jiuhou Lei

“…The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. …”
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Multi-modal action recognition via advanced image fusion techniques for cyber-physical systems by Zaiyong Shou, Daoyu Zhu

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Symbiotic relationship and attribution analysis of digitalization in agriculture, rural, and finance: evidence from China by Xiaojuan Yang, Kai Liu, Weiwei Li, Weiwei Li

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The use and integration of airborne laser scanning and satellite time series data in precision forest management for plantations of fast-growing tree species by Gonzalo Gavilan-Acuna, Nicholas C. Coops, Piotr Tompalski, Dominik Roeser, Andrés Varhola

“…Conclusion Despite progresses, challenges remain in refining predictive models, expanding remote sensing applications, and developing tools that translate complex data into field operations. …”
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Relating natural image statistics to patterns of response covariability in macaque primary visual cortex by Amirhossein Farzmahdi, Adam Kohn, Ruben Coen-Cagli

“…As a result, the model predicts that increasing the size of an image reduces correlations for pairs with overlapping receptive fields and increases correlations for pairs with offset receptive fields. …”
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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks by Jeongho Han, Seoro Lee

“…Using the optimized model, RE in North Korea was estimated, and the spatial distribution of RE was analyzed using the Kriging interpolation. …”
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Revisiting the distribution and total amount of nitrogen fixation across the Kuroshio by Takuya Sato, Takuhei Shiozaki, Shota Takino, Kiyotaka Hidaka, Tamaha Yamaguchi, Daiki Ito, Daisuke Ambe, Sayaka Sogawa, Takashi Setou, Yugo Shimizu, Taketoshi Kodama, Kazutaka Takahashi

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Optimal control prevents itself from eradicating stochastic disease epidemics. by Rachel Russell, Nik J Cunniffe

“…Using Model Predictive Control, in which the optimisation is performed repeatedly as the system evolves to correct for deviations from the optimal control predictions, improves performance but the level of control calculated at each repeated optimisation is still insufficient. …”
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Contribution of Greening and High-Albedo Coatings to Improvements in the Thermal Environment in Complex Urban Areas by Bonggeun Song, Kyunghun Park

“…The RMSE deviation of the predicted and actual field temperature values was 3–6°C; however, the explanatory power was as high as 60%. …”
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An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

“…The overall classification error of the upscaling strategy at spatial resolutions of 0.6, 2, 4, 6, 8, and 10 m (Upscaled), as well as that of the direct Sentinel-2 model, were 7.9%, 8.2%, 9.1%, 10.3%, 11.2%, 12.5%, and 14.5%, respectively. …”
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Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework by Chuanze Li, Angela Harris, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, Matthew Dennis, Polyanna da Conceição Bispo

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Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion by Menghui Jiang, Tian Qiu, Ting Wang, Chao Zeng, Boxuan Zhang, Huanfeng Shen

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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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Soil Carbon Remote Sensing: A Meta-Analysis and Systematic Review of Published Results from 1969–2022 by Savannah L. McGuirk, Iver H. Cairns

“…There is no other evidence to suggest that prediction models prepared with multispectral data perform worse than other models, however. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…Then, on a 3000 m grid scale, a prediction model of BSS quantity with random forest, support vector regression, and gradient-boosting decision tree algorithm was built. …”
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Long short-term memory exploitation of satellite gravimetry to infer floods by Omid Memarian Sorkhabi, Joseph Awange

“…Flood forecasting is a vital segment of disaster risk management in that it contributes to the prediction of the magnitude, occurrence, duration and timing of floods. …”
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Monitoring Land Surface Temperature on Urban Expansion using Normalised Difference Vegetation Index and Google Earth Engine by Nur Suhaili Mansor, Hapini Awang, Chong Kar Min, Anna Bluszcz, Ade Candra, Shakiroh Khamis

“…Despite growing recognition of these impacts, many existing studies rely on static or predictive models that lack spatial precision and real-time monitoring. …”
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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…Furthermore, a combination of spatial, geostatistical and fractal analyses could form the basis for creating predictive models that could be applied to other lignite basins in Ukraine.…”
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The potential of wetlands and barrier islands as a coastal defense in mitigating the storm surge by Aditya Gupta, Matthew V. Bilskie, C. Brock Woodson

“…The study introduces an attenuation rate function based on the prediction factor that improves surge attenuation modeling by integrating real-world scenarios with idealized theoretical functions. …”
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Transformer-based multi-task learning for table tennis motion feature recognition by Tianfang Ma

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