Ensemble machine learning paradigms in hydrology: A review
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …
impact on efficient water resource planning and long-term management. The Penman …
Groundwater level prediction using machine learning algorithms in a drought-prone area
Groundwater resources (GWR) play a crucial role in agricultural crop production, daily life,
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …
S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …
to be addressed due to global environmental change. Many studies have employed remote …
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms
Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field,
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh
The transmission of novel coronavirus (COVID-19) can be reduced by implementing a
lockdown policy, which has also been proven as an effective control measure for air …
lockdown policy, which has also been proven as an effective control measure for air …
Data intelligence model and meta-heuristic algorithms-based pan evaporation modelling in two different agro-climatic zones: a case study from Northern India
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation
scheduling, and agricultural water management. In recent years, the data-driven models …
scheduling, and agricultural water management. In recent years, the data-driven models …
Spatiotemporal trends in reference evapotranspiration and its driving factors in Bangladesh
This research investigates spatiotemporal variations in ETo and the controlling factor of
those variations using the modified Mann-Kendall test, empirical Bayesian kriging model …
those variations using the modified Mann-Kendall test, empirical Bayesian kriging model …
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …
With global warming and climate change, its significance has become increasingly evident …