Meysam Alizamir - Publications, H-index & Citations

Meysam Alizamir

Duy Tan University

27H指数

73论文数

2.6K被引数

收录论文 30

发表时间

Explainable ensemble learning models for predicting rheological and mechanical properties of Self-Compacting concrete 可解释集成学习模型用于预测自密实混凝土的流变学和力学性能

Ain Shams Engineering Journal

IF5.9

2026-07-03

OAAI

Hang Yin; Meysam Alizamir; Salim Heddam; Aliakbar Gholampour; Sungwon Kim; Rana Muhammad Adnan Ikram

Improving prediction accuracy of mechanical strengths in high-performance concrete using advanced metaheuristic-based extreme learning machines: incorporation of SHAP and LIME model explainers 采用基于先进元启发式算法的极限学习机提高高性能混凝土力学强度预测精度：整合SHAP和LIME模型解释器

Ain Shams Engineering Journal

IF5.9

2026-04-08

OAAI

Hang Yin; Meysam Alizamir; Salim Heddam; Sungwon Kim; Aliakbar Gholampour; Rana Muhammad Adnan Ikram

Enhancing the prediction of heating and cooling loads in residential buildings using explainable XGBoost: a comparative analysis of SHAP and LIME techniques 使用可解释XGBoost提升住宅建筑供暖与制冷负荷预测：SHAP与LIME技术的比较分析

Artificial Intelligence Review

IF13.9

2026-02-19

OAAI

Meysam Alizamir; Sungwon Kim; Salim Heddam; Aliakbar Gholampour; Hyounseok Moon

Improved prediction of geopolymer concrete compressive strength using metaheuristic-enhanced extreme learning models with combined SHAP and LIME for sustainable construction 利用结合SHAP与LIME的元启发式增强极限学习模型改进地聚合物混凝土抗压强度的预测，以用于可持续建设

Ain Shams Engineering Journal

IF5.9

2026-02-16

OAAI

Meysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Gum-Sung Ryu

Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete 设计具有基于SHAP解释的鲁棒极端梯度提升模型，以预测再生骨料混凝土中的碳化深度

Artificial Intelligence Review

IF13.9

2025-11-11

OAAI

Meysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Jaehwan Kim

Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management 基于混合深度学习与SHAP的日土壤温度预测用于可持续土壤管理

Engineering Applications of Computational Fluid Mechanics

IF5.4

2025-08-11

OAAI

Meysam Alizamir; Kaywan Othman Ahmed; Salim Heddam; Sungwon Kim; Jeong Eun Lee

A robust and explainable deep learning model based on an LSTM-CNN framework for reliable FDOM prediction in water quality monitoring: Incorporating SHAP analysis for enhanced interpretability 基于LSTM-CNN框架的鲁棒且可解释的深度学习模型，用于可靠的水质监测浮游植物叶绿素荧光密度（FDOM）预测：通过SHAP分析增强可解释性

Process Safety and Environmental Protection

IF7.8

2025-07-16

PREAI

Meysam Alizamir; Salim Heddam; Sungwon Kim

An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete 一种可解释的XGBoost-SHAP机器学习模型，用于可靠预测铸造废砂基环保混凝土的力学性能

RESULTS IN ENGINEERING

IF7.9

2025-03-01

OAAI

Alizamir, Meysam; Wang, Mo; Ikram, Rana Muhammad Adnan; Gholampour, Aliakbar; Ahmed, Kaywan Othman; Heddam, Salim; Kim, Sungwon

An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2025-02-01

PREAI

Alizamir, Meysam; Moradveisi, Kayhan; Ahmed, Kaywan Othman; Bahrami, Jamil; Kim, Sungwon; Heddam, Salim

The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning

SCIENTIFIC REPORTS

IF3.9

2025-01-02

OAAI

Bahrambanan, Fatemeh; Alizamir, Meysam; Moradveisi, Kayhan; Heddam, Salim; Kim, Sungwon; Kim, Seunghyun; Soleimani, Meysam; Afshar, Saeid; Taherkhani, Amir

An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis 基于SHAP重要性分析的boosting集成方法解释

RESULTS IN ENGINEERING

IF7.9

2024-12-01

OAAI

Alizamir, Meysam; Wang, Mo; Ikram, Rana Muhammad Adnan; Ahmed, Kaywan Othman; Heddam, Salim; Kim, Sungwon

Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2024-11-06

OAAI

Alizamir, Meysam; Wang, Mo; Ikram, Rana Muhammad Adnan; Kim, Sungwon; Ahmed, Kaywan Othman; Heddam, Salim

Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete

SCIENTIFIC REPORTS

IF3.9

2024-09-03

OAAI

Alizamir, Meysam; Gholampour, Aliakbar; Kim, Sungwon; Keshtegar, Behrooz; Jung, Woo-tai

Accurately predicting the performance of MOF-based mixed matrix membranes for CO2 removal using a novel optimized extreme learning machine by BAT algorithm

SEPARATION AND PURIFICATION TECHNOLOGY

IF9

2023-11-01

PREAI

Alizamir, Meysam; Keshavarz, Ahmad; Abdollahi, Farideh; Khosravi, Arash; Karagoz, Seckin

A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique 使用高级人工智能算法通过气象数据预测每日太阳辐射的新见解: 与变分模式分解技术集成的深度极限学习机

SUSTAINABILITY

IF3.3

2023-07-19

OAAI

Alizamir, Meysam; Othman Ahmed, Kaywan; Shiri, Jalal; Fakheri Fard, Ahmad; Kim, Sungwon; Heddam, Salim; Kisi, Ozgur

Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine 使用鲁棒的集成人工智能模型研究垃圾渗滤液和地下水质量预测: 灰狼元启发式优化算法和极限学习机

WATER

IF3

2023-07-04

OAAI

Alizamir, Meysam; Kazemi, Zahra; Kazemi, Zohre; Kermani, Majid; Kim, Sungwon; Heddam, Salim; Kisi, Ozgur; Chung, Il-Moon

Soil moisture simulation using individual versus ensemble soft computing models

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY

IF3.4

2022-05-12

PREAI

Zounemat-Kermani, M.; Golestani Kermani, S.; Alizamir, M.; Fadaee, M.

On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: Case studies of river and lake in USA

JOURNAL OF CLEANER PRODUCTION

IF10

2021-02-01

PREAI

Alizamir, Meysam; Heddam, Salim; Kim, Sungwon; Mehr, Ali Danandeh

Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series

SUSTAINABILITY

IF3.3

2020-11-21

OAAI

Kim, Sungwon; Alizamir, Meysam; Kim, Nam Won; Kisi, Ozgur

Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data

WATER

IF3

2020-09-17

OAAI

Alizamir, Meysam; Kim, Sungwon; Zounemat-Kermani, Mohammad; Heddam, Salim; Kim, Nam Won; Singh, Vijay P.

研究方向