Among these events, debris flows are peculiar phenomena during which a large volume of a highly concentrated viscous water-debris mixture flows through a stream channel or on an open plain. For the occurrence of these types of landslide predisposing and triggering factors need to be present in ...
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there has been a concerted effort to harness the power of renewable energy technologies, such as solar [8], wind [9], hydro [10], and geothermal energy [11
19、ides. For additional and further description of applications, see clause A.1. The purpose of producing the present document is to lay a foundation for industry to quickly bring innovative and useful products to the market while avoiding any harmful interference with other services and applicatio...
Landslide susceptibility assessment using SVM machine learning algorithm. Eng. Geol. 2011, 123, 225–234. [CrossRef] 22. Pradhan, B. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. ...
2.1.1. Description of the Study Area and Sensors Installation The study was undertaken in Ålesund city, which is located along the West Coast of Norway. The city has a population and an area of approximately 66,100 and 633.6 km2, respectively [45]. Ålesund experiences high precipitation ...
2.1.1. Description of the Study Area and Sensors Installation The study was undertaken in Ålesund city, which is located along the West Coast of Norway. The city has a population and an area of approximately 66,100 and 633.6 km2, respectively [45]. Ålesund experiences high precipitation ...
3.1. Dataset Description The data of energy consumption acquired from SGCC (which is both realistic and easily accessible) is employed for the proposed model’s validation via different performance metrics [5]. The SGCC possesses imbalanced EC data. The total number of consumers’ data records is...
4.1. Description and Preprocessing of Data The validation of the ICEEMDAN-KPCA-LSTM model was carried out on MATLAB 2022Ra. The data used in this article are from a photovoltaic power station from 10 March to 14 April in west China; they contain seven weather features: solar irradiance, air...