THAW SLUMP SUSCEPTIBILITY MAPPING BASED ON SAMPLE OPTIMIZATION AND ENSEMBLE LEARNING TECHNIQUES IN QINGHAI-TIBET RAILWAY CORRIDOR

Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor

Thaw slump susceptibility mapping (TSSM) of Qinghai–Tibet railway corridor (QTRC) is the prerequisite and basis for disaster assessment and prevention of permafrost projects.The objective of this article is to construct shellac starter set douglas ensemble learning models based on single classifier models to generate the TSSM of the QTRC, co

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Diversity of sambal types in Indonesia

Sambal is a processed chili paste with a spicy taste.The history of sambal begins with the arrival of chili seeds brought by the Portuguese in the 16th century, which was like a cultural renaissance of spicy foods.The methodology used for this research included analysis of food ethnographic literature, origin, function and types of sambal found in

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Ecophysiological consequences of variability in diapause intensity

Diapause intensity (DI) is a physiological trait represented by the duration of diapause under given conditions of environment.In many species, it is highly variable, probably being controlled by multiple genes and tends to form a cline in response to the latitudinal gradient of selection pressure.DI clines could be established artificially by cros

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A Water Level Measurement Approach Based on YOLOv5s

Existing water gauge reading approaches based on image analysis have problems such as poor scene adaptability and weak robustness.Here, we proposed a novel water level measurement method based on deep learning (YOLOv5s, convolutional neural network) to overcome these problems.The proposed method uses the YOLOv5s to extract the water gauge area and

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