malignant
发表于 2025-3-21 17:14:34
书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0383865<br><br> <br><br>书目名称Geomorphic Risk Reduction Using Geospatial Methods and Tools读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0383865<br><br> <br><br>
SIT
发表于 2025-3-21 20:41:22
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名字的误用
发表于 2025-3-22 03:31:49
Artificial Neural Network Ensemble with General Linear Model for Modeling the Landslide Susceptibiliare 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
acrophobia
发表于 2025-3-22 07:50:58
An Advanced Hybrid Machine Learning Technique for Assessing the Susceptibility to Landslides in the 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
landmark
发表于 2025-3-22 12:36:51
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革新
发表于 2025-3-22 16:36:35
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革新
发表于 2025-3-22 17:57:06
An Ensemble of J48 Decision Tree with AdaBoost and Bagging for Flood Susceptibility Mapping in the So limit its destructive effects, proper planning, cope up ideas, and mitigation strategies are required. So the present study deals with the preparation of flood susceptibility mapping in the Sundarban region of West Bengal, India. The study prepares a flood inventory map and also identifies the col
性学院
发表于 2025-3-22 23:46:40
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不朽中国
发表于 2025-3-23 04:38:51
Quantitative Assessment of Interferometric Synthetic Aperture Radar (INSAR) for Landslide Monitoring-surface ground motion in deep-seated landslides. We also consider the uncertainties that may arise out of using a remote sensing tool to track ground motion, as opposed to traditional boreholes, and how InSAR can be used to understand this uncertainty. The landslide case study of interest in this w
collagenase
发表于 2025-3-23 08:19:44
Geospatial Study of River Shifting and Erosion–Deposition Phenomenon Along a Selected Stretch of Riva. Measurement of braiding index (>1.5) and sinuosity (<1.5) with the aim of analyzing river morphometric parameters along with river shifting related with erosion–deposition for sinuosity throughout the study time duration indicate that the river has a braiding and straight or sinuous nature. Islan