Mohammad Zounemat‐Kermani

Shahid Bahonar University of Kerman

46H指数

182论文数

7.6K被引数

收录论文 84

发表时间

River water temperature prediction using REMD, RLMD, and SVMD coupled with deep learning models 基于REMD、RLMD和SVMD与深度学习模型耦合的河流水温预测

Scientific Reports

IF3.9

2026-09-03

OAAI

Noureddine Daif; Dong Sop Rhee; Ozgur Kisi; Fabio Di Nunno; Francesco Granata; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani

Building a reliable coagulant dosage prediction framework for water purification processes using CatBoost and explainable AI (XAI)利用CatBoost和可解释人工智能（XAI）构建水净化过程可靠混凝剂投加量预测框架

Engineering Applications of Computational Fluid Mechanics

IF5.4

2026-08-19

OAAI

Khaled Merabet; Il-Moon Chung; Amel Fouchal; Francesco Granata; Ozgur Kisi; Sungwon Kim; Salim Heddam; Mohammad Zounemat-Kermani

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis 基于物理信息的混合GR4J–XGBoost模型用于径流预测：整合概念性状态、SHAP可解释性和不确定性分析

Scientific Reports

IF3.9

2026-08-03

OAAI

Ozgur Kisi; Salim Heddam; Kulwinder Singh Parmar; Christoph Külls; Mohammad Zounemat-Kermani

Experimental analysis of flash flood-induced scour on semi-arid hillslopes 闪发洪水诱发的半干旱坡面冲刷实验分析

Scientific Reports

IF3.9

2026-05-06

OAAI

Elham Rostamzadeh; Mohamad Reza Madadi; Mohammad Zounemat-Kermani

Integrating ensemble and contrastive learning with explainable AI for modeling eutrophication-driven algal risks 集成集成学习与对比学习以及可解释人工智能对富营养化驱动型藻类风险的建模

Environmental Monitoring and Assessment

IF3

2026-04-15

PREAI

Sultan K. Salamah; Marwan Kheimi; Mohammad Zounemat-Kermani

Explainable Artificial Intelligence in Hydrology: A Review 可解释人工智能在 hydrology 中的应用：综述

Water Resources Management

IF4.7

2026-02-06

PREAI

Mohammad Zounemat-Kermani; Marwan Kheimi

Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decomposition 基于正则化贪婪森林增强tvf-emd和经验傅里叶分解的日河水温度预测

Stochastic Environmental Research and Risk Assessment

IF3.6

2026-01-22

PREAI

Salah Difi; Fabio Di Nunno; Francesco Granata; Ozgur Kisi; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani

Multi-boosting and machine learning for soil substrate water content prediction 多提升算法与机器学习在土壤基质水分含量预测中的应用

Soft Computing

IF2.5

2025-12-17

PREAI

Marwan Kheimi; Abdollah Ramezani-Charmahineh; Mohammad Zounemat-Kermani

Interpretable boosting algorithms for prediction and data imputation of River Sediment 可解释的提升算法在河流沉积物预测和数据插补中的应用

Applied Soft Computing

IF6.6

2025-12-03

PREAI

Mohammad Zounemat-Kermani; Marwan Kheimi

Modeling Coagulant Dosage in Water Treatment Plant Using Explainable Deep Learning Model-Based SHapley Additive exPlanations (SHAP)使用可解释深度学习模型基于SHapley加性解释（SHAP）对水处理厂混凝剂投加量进行建模

Water Conservation Science and Engineering

IF1.9

2025-10-03

PREAI

Fouchal, Amel; Merabet, Khaled; Kisi, Ozgur; Di Nunno, Fabio; Granata, Francesco; Kim, Sungwon; Heddam, Salim; Zounemat-Kermani, Mohammad; Yaseen, Zaher Mundher

Ensemble Boosting Methods for Surface Water Quality Modeling: A Review 表面水质量建模的集成提升方法：综述

Archives of Computational Methods in Engineering

IF12.1

2025-10-03

PREAI

Mohammad Zounemat-Kermani; Marwan Kheimi

Interpretable ensemble learning for modeling phosphorus dynamics and mitigating eutrophication in riverine ecosystems 可解释的集成学习方法用于模拟河流生态系统中磷动态并缓解富营养化

Ecohydrology & Hydrobiology

IF2.2

2025-09-26

PREAI

Marwan Kheimi; Mohammad Zounemat-Kermani

Spatio-temporal assessment of groundwater and agricultural land using remote sensing in a semi-arid region 半干旱地区地下水与农业用地的时空评估：基于遥感技术

Environmental Earth Sciences

IF2.8

2025-07-25

PREAI

Bahareh Mirkamandar; Mohammad Bagher Rahnama; Mohammad Zounemat-Kermani

Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations 使用可解释机器学习预测最高和最低气温：Shapley加性解释与局部可解释模型无关解释的比较

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

IF3.6

2025-04-28

PREAI

Daif, Noureddine; Di Nunno, Fabio; Granata, Francesco; Difi, Salah; Kisi, Ozgur; Heddam, Salim; Kim, Sungwon; Adnan, Rana Muhammad; Zounemat-Kermani, Mohammad

Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow

JOURNAL OF HYDROLOGY

IF6.3

2025-04-01

PREAI

Adnan, Rana Muhammad; Mostafa, Reham R.; Wang, Mo; Parmar, Kulwinder Singh; Kisi, Ozgur; Zounemat-Kermani, Mohammad

Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling

SCIENTIFIC REPORTS

IF3.9

2025-03-03

OAAI

Kisi, Ozgur; Heddam, Salim; Parmar, Kulwinder Singh; Petroselli, Andrea; Kuells, Christoph; Zounemat-Kermani, Mohammad