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Liao MY et al (2022) Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: a case of Wushan and Wuxi counties, China. Catena 217 Merghadi A et al (2020) Machine learning methods for landslide susceptibility st...
The adsorption of SOM constituents to the surface of the clay particles and their physical protection by soil macro-aggregates can retard SOM decomposition (Bot and Benites, 2005) and enhance SOM accumulation in clayey soils. The effect of land-use on SOM content varied between the climatic ...
• When using this unit as a tripod: ‒‒ Spread its legs to full extent and place the unit on a flat surface. Depending on the angle of the camera seat or the mounted camera, the unit may lose its balance and wobble. Do not use the unit if it wobbles. ‒‒ Check if ...
Slope of the land surface governs the horizontal extent of flooding, but model results are also influenced by data resolution and the particular modeling approach. 2.11.3.1.2 Cell connectivity While the simple bathtub approach can provide insight into the vulnerability of coastal areas, it does not...
Lopushanska, H, Lopushansky, A, Myaus, O: Inverse problems of periodic spatial distributions for a time fractional diffusion equation. Electron. J. Differ. Equ. 2016, 14 (2016) Article MATH MathSciNet Google Scholar Nemat, D: Numerical study of entropy generation for forced convection flow...
criterion, individuals must have answered “yes” to question 1 (“Have you ever sprained an ankle?”) along with “yes” to at least four questions related to perceived ankle instability and giving-way episodes: ‘(2) “Does your ankle ever feel unstable while walking on a flat surface?
The awaited anticipation of home ownership by the middle-income group in Malaysia has been marred by the stigma of abandoned housing developments. Abandoned projects are known to cause environmental degradation since most project sites are stripped of their green covers that cause speedier surface water...
However, the major limitation of the CNN-based deep learning lies in the demand for a large and representative training dataset – how the landslide labels related to the spatial patterns of surface reflectance, nightlights, elevation, and slope. Thus, the model's performance might decrease if ...
Elijah O, Ling PA, Rahim SKA, Geok TK, Arsad A, Kadir EA, Abdurrahman M, Junin R, Agi A, Abdulfatah MY (2021) A survey on industry 4.0 for the oil and gas industry: upstream sector. IEEE Access 9:144438–144468 ArticleGoogle Scholar ...