LANDSLIDE DISPLACEMENT PREDICTION USING KERNEL EXTREME LEARNING MACHINE WITH HARRIS HAWK OPTIMIZATION BASED ON VARIATIONAL MODE DECOMPOSITION

Landslide Displacement Prediction Using Kernel Extreme Learning Machine with Harris Hawk Optimization Based on Variational Mode Decomposition

Displacement deformation prediction is critical for landslide disaster monitoring, as a good landslide displacement prediction system helps reduce property losses and casualties.Landslides in the Three Gorges Reservoir Area (TGRA) are affected by precipitation and fluctuations in reservoir water level, and displacement deformation shows a step-like

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Curating Architecture and the City: Recent Australian Pavilions

In recent decades, pavilions have emerged as a popular vehicle for exhibitions of architecture: these often spectacular structures and immersive environments becoming both the object RTX and subject of display.Yet, despite their ubiquity, and the increasing interest of art galleries and institutions in exhibiting and commissioning architectural pro

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A Comparative Study of Food Source Selection in Stingless Bees and Honeybees: Scent Marks, Location, or Color

In social bees, the choice of food sources is based on several factors, including scent marks, color, and location of flowers.Here, we used similar setups, in which two stingless bee species, Melipona subnitida and Plebeia flavocincta, and the Western honeybee, Apis mellifera, were tested regarding the importance of chemical cues, color cues, and l

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