Congestion
发表于 2025-3-23 09:53:53
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省略
发表于 2025-3-23 16:26:31
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anagen
发表于 2025-3-23 19:56:40
Measuring Landslide Susceptibility in Jakholi Region of Garhwal Himalaya Using Landsat Images and Ens. To begin, landslides were established and a landslide inventory map was prepared. The total locations considered for this study were divided into 70% for the training datasets and 30% for the validation datasets. Following that, a total of 15 landslide conditioning factors were chosen. Furthermor
Promotion
发表于 2025-3-24 02:09:53
Landslide Susceptibility Mapping Using Satellite Images and GIS-Based Statistical Approaches in Partture, thereby requiring researchers to delve into more in-depth landslide-related studies with a focus on finding effective methods to better delineate landslide-prone areas as well as better understand the various underlying causative factors. The district of Kullu, situated in the Indian state of
难管
发表于 2025-3-24 02:37:06
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持久
发表于 2025-3-24 06:41:11
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gregarious
发表于 2025-3-24 12:52:58
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Tortuous
发表于 2025-3-24 18:50:02
Plane Electromagnetic Wave Propagation,ation of policy and practices. Soil erosion through gully development is a natural geomorphic process that controlled by human activities and highly effected environmental quality, ecosystem, natural resources, and agricultural activities; and it promotes hazards. So, gully erosion management is a k
ostrish
发表于 2025-3-24 23:04:14
Time-Varying Boundary-Value Problems,are highly susceptible to landslide. In the present study ensemble of ANN, general linear model (GLM), and ensemble ANN-GLM machine learning methods were applied for producing the landslide susceptibility maps (LSMs) of the Mirik region. A total of 373 landslide locations and twelve landslide condit
PSA-velocity
发表于 2025-3-25 00:36:39
Metallic Waveguides and Resonant Cavities,ble NBT-RTF, Naive Bayes tree (NBT), and rotation forest (RTF). For landslide susceptibility modelling, 189 landslide sites and 12 landslide conditioning factors (LCFs) were gathered. Multi-collinearity analysis was done among the LCFs to determine the best LCFs to use. The metrics utilized to asses