Results 1 to 10 of about 4,542 (182)
Correlation of Gray-to-White matter ratio on Non-Contrast CT with neurological outcome in Post-Cardiac arrest syndrome [PDF]
BMJ Neurology OpenIntroduction Post-cardiac arrest syndrome (PCAS) is a major cause of mortality and neurological disability. Early prognostication is essential for clinical decision-making, but variability in interpretation of Non-Contrast CT (NCCT)) Gray to White Matter
Zeinab El Mawla +3 more
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Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis [PDF]
Scandinavian Journal of Trauma, Resuscitation and Emergency MedicineBackground The gray-to-white matter ratio (GWR) on brain computed tomography (CT) is used to predict neurological outcomes after cardiac arrest. Even though automated methods, such as automatic GWR and machine learning, have been compared to manual GWR ...
Kyung Hun Yoo +7 more
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Landslide Susceptibility Assessment in Ya’an Based on Coupling of GWR and TabNet
Remote SensingLandslides are destructive geological hazards, making accurate landslide susceptibility assessment essential for disaster prevention and mitigation. However, existing studies often lack scientific rigor in negative sample construction and have unclear model applicability.
Wang Ruirui, Jiahao Wei
exaly +2 more sources
Spatial analysis of land subsidence and groundwater loss using the GWR model (Case study: Noorabad Mamasani aquifer,) [PDF]
نشریه جغرافیا و برنامهریزی, 2021 Introduction Today, the phenomenon of land subsidence is one of the most important geomorphological hazards on a global scale, which causes great damage to urban and rural structures, development facilities.
najmeh shafiei +3 more
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Proceedings of the 29th International Conference on Advances in Geographic Information Systems, 2021 Geographically Weighted Regression (GWR) is a seminal technique with rich applications in geospatial data analysis. However, it has critical drawbacks in the age of big data in terms of expressiveness, i.e., predictive power, and scalability. This work proposes Augmented GWR (A-GWR) that alleviates these drawbacks.
Mohammad Reza Shahneh +2 more
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The Impact of Seasonal Vegetation Changes on Retention and Yield of Sediment Across the Tajan Watershed in Sari, Northern Iran [PDF]
Sustainable Earth Trends, 2023 Sediment retention (SR) and sediment yield (SY) are regulatory ecosystem services that would change due to seasonal vegetation conditions in a region. This study aimed to investigate the SR and SY in the Tajan watershed in Mazandaran Province, northern ...
Mohammad Rahmani +2 more
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EARLY MARRIAGE MODELING IN WEST JAVA USING GEOGRAPHICALLY WEIGHTED REGRESSION
Jurnal Biometrika dan Kependudukan, 2023 Woman early marriage defined as a marriage that happens to a woman under 16 years. Early marriage can affect the mother's and baby's health. Free sex, education, and poverty remain the three significant factors of early marriage.
Marnita Simatupang
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Barekeng, 2023 Geographically Weighted Regression Kriging (GWRK) is a special case of Geographically Weighted Regression (GWR) model, which is modeling with the effect of spatial autocorrelation on the GWR model error.
Atiek Iriany +3 more
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Tilt effects on GWR superconducting gravimeters [PDF]
Journal of Geodynamics, 2009 The superconducting gravimeters (SGs) are the most sensitive and stable gravity sensors currently available. The low drift and high sensitivity of these instruments allow to investigate several geophysical phenomena inducing small and long-period gravity changes.
RICCARDI, UMBERTO +3 more
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High-performance solutions of geographically weighted regression in R
Geo-spatial Information Science, 2022 As an established spatial analytical tool, Geographically Weighted Regression (GWR) has been applied across a variety of disciplines. However, its usage can be challenging for large datasets, which are increasingly prevalent in today’s digital world.
Binbin Lu +6 more
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