Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
Hybrid structures in time series modeling and forecasting: A review
The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …
of single models in processing various patterns and relationships latent in data, hybrid …
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as …
Monthly streamflow prediction is very important for many hydrological applications in
providing information for optimal use of water resources. In this study, the prediction …
providing information for optimal use of water resources. In this study, the prediction …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models
Accurate and timely monitoring of streamflow and its variation is crucial for water resources
management in watersheds. This study aimed at evaluating the performance of two process …
management in watersheds. This study aimed at evaluating the performance of two process …
Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm
Urban flooding is a global metropolitan problem; therefore, establishing reliable streamflow
forecasting models is critical for flood control and planning in urban areas. Furthermore …
forecasting models is critical for flood control and planning in urban areas. Furthermore …
Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions
Evapotranspiration is one of the most important components of the hydrological cycle as it
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
Development of an extreme gradient boosting model integrated with evolutionary algorithms for hourly water level prediction
The establishment of reliable water level prediction models is vital for urban flood control
and planning. In this paper, we develop hybrid models (GA-XGBoost and DE-XGBoost) that …
and planning. In this paper, we develop hybrid models (GA-XGBoost and DE-XGBoost) that …
Drought modeling using classic time series and hybrid wavelet-gene expression programming models
The standardized precipitation evapotranspiration index (SPEI) at three different time scales
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …