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Deep learning techniques in extreme weather events: A review
Extreme weather events pose significant challenges, thereby demanding techniques for
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
The accurate estimation of reference evapotranspiration (ETo) becomes imperative in the
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
Flood flow forecasting using ANN, ANFIS and regression models
Flood prediction is an important for the design, planning and management of water
resources systems. This study presents the use of artificial neural networks (ANN), adaptive …
resources systems. This study presents the use of artificial neural networks (ANN), adaptive …
A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
The cementitious behavior of Rice Husk Ash (RHA) has caused its possible addition as a
replacement material for cement which has been proven to influence the strength of …
replacement material for cement which has been proven to influence the strength of …
On the reliability of a novel MODWT-based hybrid ARIMA-artificial intelligence approach to forecast daily snow depth (Case study: the western part of the Rocky …
In this study, a novel algorithm is presented to combine different wavelet transform (WT)
approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet …
approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet …
Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
Simulation of suspended sediment concentration (SSC) in a river is very important for
planning and management of water resources. In this study, co-active neuro-fuzzy inference …
planning and management of water resources. In this study, co-active neuro-fuzzy inference …
Pan evaporation simulation based on daily meteorological data using soft computing techniques and multiple linear regression
Evaporation, a major component of hydrologic cycle, is an important parameter to many
applications in water resource management, irrigation scheduling, and environmental …
applications in water resource management, irrigation scheduling, and environmental …
The effect of slope aspect on the response of snowpack to climate warming in the Pyrenees
The aim of this study was to analyse the effect of slope aspect on the response of snowpack
to climate warming in the Pyrenees. For this purpose, data available from five automatic …
to climate warming in the Pyrenees. For this purpose, data available from five automatic …
Comparison of artificial neural network and decision tree models in estimating spatial distribution of snow depth in a semi-arid region of Iran
S Gharaei-Manesh, A Fathzadeh… - Cold Regions Science …, 2016 - Elsevier
There is no doubt that snow cover plays an important role in the hydrological cycle of
mountainous basins. Therefore, it is essential to measure snow parameters such as snow …
mountainous basins. Therefore, it is essential to measure snow parameters such as snow …
Attention-based models for snow-water equivalent prediction
Snow Water-Equivalent (SWE)—the amount of water available if snowpack is melted—is a
key decision variable used by water management agencies to make irrigation, flood control …
key decision variable used by water management agencies to make irrigation, flood control …