A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for …
C Ji, C Zhang, L Hua, H Ma, MS Nazir, T Peng - Environmental research, 2022 - Elsevier
With the rapid development of economy, air pollution occurs frequently, which has a huge
negative impact on human health and urban ecosystem. Air quality index (AQI) can directly …
negative impact on human health and urban ecosystem. Air quality index (AQI) can directly …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
[HTML][HTML] Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model
In the current study, the Standardized Precipitation Evaporation Index (SPEI) was forecasted
using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms …
using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms …
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization …
Climate change has increased drought frequency globally, which harms the environment,
agriculture, and water resources. This study explores the capacity of a hybrid model based …
agriculture, and water resources. This study explores the capacity of a hybrid model based …
Enhancing drought monitoring and prediction in diverse climates by using composite drought indices
In order to improve the reliable monitoring and prediction of drought behavior, it is crucial to
comprehensively consider composite indices. Initially, four univariate drought indices were …
comprehensively consider composite indices. Initially, four univariate drought indices were …
Develo** hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern
One of the critical factors in the optimal design of drip-fertigation systems is determining the
distribution of nitrate in the soil. Handling such a complex non-linear process is challenging …
distribution of nitrate in the soil. Handling such a complex non-linear process is challenging …
Integration of flux footprint and physical mechanism into convolutional neural network model for enhanced simulation of urban evapotranspiration
Estimating urban evapotranspiration (ET) is of great significance for urban water resource
allocation and assessing the urban heat island effect. However, most current urban ET …
allocation and assessing the urban heat island effect. However, most current urban ET …
An explainable hybrid framework for estimating daily reference evapotranspiration: Combining extreme gradient boosting with Nelder-Mead method
Accurate estimation of reference evapotranspiration (ETo) is essential for effective water
resources management, irrigation system design, and various hydrological and agricultural …
resources management, irrigation system design, and various hydrological and agricultural …
Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China
J Dong, L **ng, N Cui, L Zhao, L Guo… - Computers and Electronics …, 2023 - Elsevier
Although the accurate prediction of the Standardized Precipitation Evapotranspiration Index
(SPEI) is considered meaningful in reducing drought losses, its wide applications are limited …
(SPEI) is considered meaningful in reducing drought losses, its wide applications are limited …
Nondestructive detection of lead content in oilseed rape leaves under silicon action using hyperspectral image
X Zhou, Y Liu, J Sun, B Li, G **ao - Science of The Total Environment, 2024 - Elsevier
This study explored the feasibility of employing hyperspectral imaging (HSI) technology to
quantitatively assess the effect of silicon (Si) on lead (Pb) content in oilseed rape leaves …
quantitatively assess the effect of silicon (Si) on lead (Pb) content in oilseed rape leaves …