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Gross ecosystem product (GEP): Quantifying nature for environmental and economic policy innovation
The large-scale loss of ecosystem assets around the world, and the resultant reduction in the provision of nature’s benefits to people, underscores...
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Mathematical-Based Gene Expression Programming (GEP): A Novel Model to Predict Zinc Separation from a Bench-Scale Bioleaching Process
Attempts to predict metal recovery accurately have been hindered by the complexity of the solvent extraction process, nonlinear effects, and the...
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Analyzing the spatiotemporal evolution and driving forces of gross ecosystem product in the upper reaches of the Chaobai River Basin
The Chaobai River Basin, which is a crucial ecological barrier and primary water source area within the Bei**g–Tian**–Hebei region, possesses...
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Discharge Coefficient Estimation of Arched Labyrinth Weir Using Gene Expression Programming
A weir is an overflow structure that is constructed across or parallel a river or open channel flow to measure or control the discharge. Weirs may be...
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Analyzing spatio-temporal changes and trade-offs/synergies of gross ecosystem product based on water-energy-food nexus
The value of the ecosystem’s ultimate goods and services for human welfare and long-term economic and social development is known as the gross...
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive...
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Application of ordinal logistic and gene expression programming methods to predict the collapse sensitivity classes of loess soils, a case study: Golestan Province, northeastern Iran
The current study assesses the collapse sensitivity classes of loess soils using gene expression programming (GEP) and ordinal logistic regression...
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Exploring the efficacy of machine learning models for predicting soil radon exhalation rates
The correlation between soil radon exhalation rate (Rn-ER) and its natural radionuclide content is complex, making quantification difficult using...
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Modeling Zn Availability and Uptake by Citrus Plants Using Easily Measured Soil Characteristics
This study evaluated the relationship between Zn in citrus leaves and some easily available soil properties using artificial neural network (ANN),...
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Estimation of thermodynamic properties of environmentally friendly new-generation R515B and R450A as an alternative to R134a
In the analysis of vapor compression refrigeration systems, simple and effective mathematical formulas are required to determine the thermodynamic...
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Carbon fluxes of alpine peatlands were jointly affected by water table level changes and the duration
PurposeAlpine peatlands are vital carbon pools and highly sensitive region. Water table level (WTL) changes caused by climate change and human...
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Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and τ-Kendall pre-processing techniques
Soil temperature (ST) is one of the vital parameters of soil, which can affect many of the processes occurring in soil. Accurate techniques are...
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The effect of green energy production, green technological innovation, green international trade, on ecological footprints
The main concern of this research is to inspect the dynamic nexus among the green international trade, green technological innovation, as well as...
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Land subsidence prediction in coal mining using machine learning models and optimization techniques
Land surface subsidence is an environmental hazard resulting from the extraction of underground resources. In underground mining, when mineral...
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Ecological states of watercourses regarding water quality parameters and hydromorphological parameters: deriving empirical equations by machine learning models
Environmental biomonitoring techniques have been widely applied to assess the quality states of toxic chemical compounds in surface freshwater...
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Trend analysis of temperature data using innovative polygon trend analysis and modeling by gene expression programming
Presenting temperature data using recently introduced innovative polygon trend analysis (IPTA) can improve our understanding of the effects of...
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Application of ANN in Estimating IRED of Stepped Gabion Weir
A rectangular basket assembled from a hexagonal mesh of heavily galvanised steel wire, filled with rock stacked atop one another to form a weir...
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Does green environmental innovation really matter for carbon-free economy? Nexus among green technological innovation, green international trade, and green power generation
This study examines the association among the green energy production (GEP), green technological innovation (GTI), and green international trade...
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Application of data-driven models to predict the dimensions of flow separation zone
In this research, the effect of a submerged multiple-vane system on the dimensions of flow separation zone (DFSZ) is assessed via 192 measured...
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Using Artificial Intelligent to Model Predict the Biological Resilience With an Emphasis on Population of cyanobacteria in Jajrood River in The Eastern Tehran, Iran
Prediction of bio-resilience in water resources such as rivers is important for better management of land-use systems and water resources. This study...
