Accurate and reliable wind speed forecasting is of great significance to the management
and utilization of wind energy. An improved deep learning model for wind speed forecasting …

In this study, five hydrological models, including the soil and water assessment tool (SWAT),
identification of unit hydrograph and component flows from rainfall, evapotranspiration, and …

The purpose of this study was to investigate the impact of climate change on the water level
and shrinkage of Lake Urmia. To achieve this, the Technique for Order of Preference by …

Abstract Snowmelt Runoff Model (SRM) was employed to study the impact of climate change
on the hydrology of the Sindh basin. The model was calibrated for the year 2010 and …

This research paper proposes a novel multi-model approach, integrating the CARIMA-
SARIMA-GPM framework, to assess the combined impacts of climate change and land use …

Climate change has increased the frequency of drought occurrence in various parts of the
world. Drought as a complex phenomenon causes severe impacts on ecological and socio …

Recently, the application of bio-signals in the fields of health management, human–
computer interaction (HCI), and user authentication has increased. This is because of the …

Climate change (CC) will increase the intensity of extreme phenomena such as drought and
flood in arid and semi-arid regions. This will cause the water supply of these areas to …

Accurate prediction of water surface profile in an open channel is the key to solving
numerous critical engineering problems. The goal of the current research is to predict the …

In this study, we conduct a comparative analysis of the nonlinear dynamics of the time series
data for green and conventional bond indices spanning the period from 2014 to 2023. Our …