Predicting Standardized Streamflow index for hydrological drought using machine learning models

Drought monitoring using deciles index standardized precipitation index and effective Drought index in tehran province iran

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

Accurate Computation of a Streamflow Drought Index

In this study we investigated an approach to the calculation of a Standardized Streamflow Index (SSI) that allows accurate spatial and temporal comparison of the hydrological conditions of a stream or set of streams. For this purpose the capability of six three-parameter distributions (lognormal, Pearson type III, log-logistic, General Extreme Value, Generalized Pareto and Weibull) and two diff...

Drought Analysis for Kuwait Using Standardized Precipitation Index

Implementation of adequate measures to assess and monitor droughts is recognized as a major matter challenging researchers involved in water resources management. The objective of this study is to assess the hydrologic drought characteristics from the historical rainfall records of Kuwait with arid environment by employing the criterion of Standardized Precipitation Index (SPI). A wide range of...

Predicting stock market index using fusion of machine learning techniques

The paper focuses on the task of predicting future values of stock market index. Two indices namely CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock markets are selected for experimental evaluation. Experiments are based on 10 years of historical data of these two indices. The predictions are made for 1–10, 15 and 30 days in advance. The paper proposes two stage fusion app...