Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
Deep learning data-intelligence model based on adjusted forecasting window scale: application in daily streamflow simulation
Streamflow forecasting is essential for hydrological engineering. In accordance with the
advancement of computer aids in this field, various machine learning (ML) models have …
advancement of computer aids in this field, various machine learning (ML) models have …
Non-linear input variable selection approach integrated with non-tuned data intelligence model for streamflow pattern simulation
Streamflow modeling is considered as an essential component for water resources planning
and management. There are numerous challenges related to streamflow prediction that are …
and management. There are numerous challenges related to streamflow prediction that are …
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
JHK Larcher, SF Stefenon, L dos Santos Coelho… - Expert Systems with …, 2024 - Elsevier
This study evaluates the use of different time series decomposition methods in association
with echo state networks (ESNs), deep echo state networks (DeepESNs), and next …
with echo state networks (ESNs), deep echo state networks (DeepESNs), and next …
Improving daily stochastic streamflow prediction: Comparison of novel hybrid data-mining algorithms
In the current paper, the efficiency of three new standalone data-mining algorithms [M5
Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid algorithms of …
Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid algorithms of …
Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data
This study proposes a risk analysis model based on the Bayesian network for diaphragm
wall deflection to ensure safety during excavation. Compared with the traditional methods …
wall deflection to ensure safety during excavation. Compared with the traditional methods …
Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland
Finding an efficient and reliable streamflow forecasting model has always been an important
challenge for managers and planners of freshwater resources. The current study, based on …
challenge for managers and planners of freshwater resources. The current study, based on …
The system of models and optimization of operating modes of a catalytic reforming unit using initial fuzzy information
B Orazbayev, A Zhumadillayeva, K Orazbayeva… - Energies, 2022 - mdpi.com
The study aims to develop a system of models and a method for optimizing the operating
modes of a catalytic reforming unit using fuzzy information, which makes it possible to …
modes of a catalytic reforming unit using fuzzy information, which makes it possible to …
Models for oil refinery waste management using determined and fuzzy conditions
A Zhumadillayeva, B Orazbayev, S Santeyeva… - Information, 2020 - mdpi.com
This study developed models to solve problems of optimisation, production, and
consumption in waste management based on methods of system analysis. Mathematical …
consumption in waste management based on methods of system analysis. Mathematical …
Stochastic modeling of groundwater fluoride contamination: Introducing lazy learners
While it remains the primary source of safe drinking and irrigation water in northwest Iran's
Maku Plain, the region's groundwater is prone to fluoride contamination. Accordingly …
Maku Plain, the region's groundwater is prone to fluoride contamination. Accordingly …