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The Science of the Total Environment
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June 9, 2020
Comments on "Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models" Science of the Total Environment, 705, 135941 (2020)
Rana Muhammad Adnan, Zhongmin Liang, Ozgur Kisi
Scientific Reports
|
July 2, 2025
Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms
Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, et al.
Scientific Reports
|
May 2, 2026
Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data
Ozgur Kisi, Rana Muhammad Adnan, Mohammad Zounemat-Kermani, et al.
Scientific Reports
|
July 21, 2025
Application of smart technologies for predicting soil erosion patterns
Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, et al.
Entropy (Basel, Switzerland)
|
December 8, 2020
Reference Evapotranspiration Modeling Using New Heuristic Methods
Rana Muhammad Adnan, Zhihuan Chen, Xiaohui Yuan, et al.
Environmental Science and Pollution Research International
|
August 2, 2023
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
Rana Muhammad Adnan, Hong-Liang Dai, Ozgur Kisi, et al.
Scientific Reports
|
June 16, 2026
Incorporating dataset-level semantic priors into large language models for environmental time-series forecasting: a soil moisture and temperature case study
Hang Yin, Lei Xu, Zeyu Wu, et al.
Journal of Environmental Management
|
November 4, 2024
Matrix scenario-based urban flooding damage prediction via convolutional neural network
Haojun Yuan, Mo Wang, Jianjun Li, et al.
Scientific Reports
|
February 13, 2026
Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis
Khaled Merabet, Sungwon Kim, Salim Heddam, et al.
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Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
The Science of the Total Environment
|
June 9, 2020
Comments on "Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models" Science of the Total Environment, 705, 135941 (2020)
Rana Muhammad Adnan, Zhongmin Liang, Ozgur Kisi
Scientific Reports
|
July 2, 2025
Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms
Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, et al.
Scientific Reports
|
May 2, 2026
Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data
Ozgur Kisi, Rana Muhammad Adnan, Mohammad Zounemat-Kermani, et al.
Scientific Reports
|
July 21, 2025
Application of smart technologies for predicting soil erosion patterns
Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, et al.
Entropy (Basel, Switzerland)
|
December 8, 2020
Reference Evapotranspiration Modeling Using New Heuristic Methods
Rana Muhammad Adnan, Zhihuan Chen, Xiaohui Yuan, et al.
Environmental Science and Pollution Research International
|
August 2, 2023
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
Rana Muhammad Adnan, Hong-Liang Dai, Ozgur Kisi, et al.
Scientific Reports
|
June 16, 2026
Incorporating dataset-level semantic priors into large language models for environmental time-series forecasting: a soil moisture and temperature case study
Hang Yin, Lei Xu, Zeyu Wu, et al.
Journal of Environmental Management
|
November 4, 2024
Matrix scenario-based urban flooding damage prediction via convolutional neural network
Haojun Yuan, Mo Wang, Jianjun Li, et al.
Scientific Reports
|
February 13, 2026
Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis
Khaled Merabet, Sungwon Kim, Salim Heddam, et al.
Page
of 1