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] A comprehensive survey of machine learning methodologies with emphasis in water resources management
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …
algorithms, highlighting their practical applications in the critical domain of water resource …
Groundwater level forecasting with machine learning models: A review
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
Groundwater level modeling using augmented artificial ecosystem optimization
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …
field and has recently been adopted in hydrology for the calibration (training) of both process …
[HTML][HTML] Groundwater level forecasting in a data-scarce region through remote sensing data downscaling, hydrological modeling, and machine learning: A case study …
Study region The upstream part of the Essaouira basin, a data-scare region in Morocco,
Northwestern Africa. Study focus The scarcity of hydro-climate data is a significant challenge …
Northwestern Africa. Study focus The scarcity of hydro-climate data is a significant challenge …
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting …
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …
predicting groundwater levels allows decision-makers to make informed decisions about …
Revolutionizing groundwater management with hybrid AI models: A practical review
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
A novel hybrid algorithms for groundwater level prediction
Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …
Advancing groundwater vulnerability assessment in Bangladesh: a comprehensive machine learning approach
In response to Bangladesh's severe water shortages, this research delves into the intricate
dynamics of groundwater vulnerability. Integrating often-overlooked factors such as …
dynamics of groundwater vulnerability. Integrating often-overlooked factors such as …
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term …
R Tan, Y Hu, Z Wang - Environmental Modelling & Software, 2023 - Elsevier
An accurate prediction of lake water levels is of great significance to water resource
regulation, flood prevention and mitigation. However, water level fluctuations have been …
regulation, flood prevention and mitigation. However, water level fluctuations have been …