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S

Sungwon Kim

luebeck university of applied sciences

38H指数
191论文数
5.0K被引数
收录论文 54
发表时间
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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
errScientific Reports
IF3.9
err2026-09-03
err0
errOAAI
errNoureddine Daif; Dong Sop Rhee; Ozgur Kisi; Fabio Di Nunno; Francesco Granata; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani
err分享
err收藏
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
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2026-08-19
err0
errOAAI
errKhaled Merabet; Il-Moon Chung; Amel Fouchal; Francesco Granata; Ozgur Kisi; Sungwon Kim; Salim Heddam; Mohammad Zounemat-Kermani
err分享
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Explainable metaheuristic-optimized XGBoost models for chlorophyll-a concentration prediction: A comparative study based on SHAP and LIME interpretability基于SHAP和LIME可解释性的叶绿素-a浓度预测的可解释元启发式优化XGBoost模型：比较研究
errJournal of Environmental Chemical Engineering
IF7.2
err2026-08-01
err0
PREAI
errMerabet, Khaled; Kim, Sungwon; Kisi, Ozgur; Granata, Francesco; Heddam, Salim; Zounemat-Kermani, Mohammad
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err收藏
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
errAin Shams Engineering Journal
IF5.9
err2026-07-03
err0
errOAAI
errHang Yin; Meysam Alizamir; Salim Heddam; Aliakbar Gholampour; Sungwon Kim; Rana Muhammad Adnan Ikram
err分享
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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
errAin Shams Engineering Journal
IF5.9
err2026-04-08
err0
errOAAI
errHang Yin; Meysam Alizamir; Salim Heddam; Sungwon Kim; Aliakbar Gholampour; Rana Muhammad Adnan Ikram
err分享
err收藏
Deep learning fusion modeling of reference evapotranspiration with multi-source remote sensing data through addressing noise impacts通过解决噪声影响，利用多源遥感数据对参考蒸散量进行深度学习融合建模
errSmart Agricultural Technology
IF5.7
err2026-02-17
err0
errOAAI
errMostafa Sadeghzadeh; Sepideh Karimi; Sungwon Kim; Jalal Shiri; Il-Moon Chung
err分享
err收藏
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
errAin Shams Engineering Journal
IF5.9
err2026-02-16
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Gum-Sung Ryu
err分享
err收藏
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
errStochastic Environmental Research and Risk Assessment
IF3.6
err2026-01-22
err0
PREAI
errSalah Difi; Fabio Di Nunno; Francesco Granata; Ozgur Kisi; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani
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err收藏
A reanalysis of a genome-wide association study on breast cancer in Asian populations using the SG10K_Health reference panel for imputation: a multi-Centre case-control analysis使用SG10K_Health参考面板进行基因分型填补的亚洲人群乳腺癌全基因组关联研究的再分析：一项多中心病例对照研究
errHuman Molecular Genetics
IF3.2
err2026-01-01
err0
PREAI
errChang, Xuling; Mariapun, Shivaani; Li, Mengyu; Wang, Ling; Ho, Peh Joo; Khng, Alexis Jiaying; Muir, Kenneth R.; Lophatananon, Artitaya; Aronson, Kristan J.; Murphy, Rachel A.; Kwong, Ava; Au, Chun Hang; Kim, Sung-Won; Park, Sue K.; Stram, Daniel O.; Wu, Anna H.; Teo, Soo-Hwang; Yip, Cheng-Har; Tai, Nur Aishah Mohd; John, Esther M.; Kurian, Allison W.; Iwasaki, Motoki; Yamaji, Taiki; Choi, Ji-Yeob; Kang, Daehee; Shu, Xiao-Ou; Zheng, Wei; Hartman, Mikael; Tan, Ern Yu; Tan, Veronique Kiak-Mien; Lim, Geok Hoon; Bolla, Manjeet K.; Dunning, Alison M.; Dennis, Joe; Wang, Qin; Naven, Marc; Easton, Douglas F.; Dorajoo, Rajkumar; Ho, Weang-Kee; Li, Jingmei
err分享
err收藏
A Comparative Evaluation of Deep Learning and Machine Learning Models for River Suspended Sediment Concentration Forecasting深学习与机器学习模型在河流悬浮泥沙浓度预测中的比较评估
errWater Resources Management
IF4.7
err2025-12-23
err0
PREAI
errAmin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
err分享
err收藏
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
errArtificial Intelligence Review
IF13.9
err2025-11-11
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Jaehwan Kim
err分享
err收藏
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
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2025-08-11
err0
errOAAI
errMeysam Alizamir; Kaywan Othman Ahmed; Salim Heddam; Sungwon Kim; Jeong Eun Lee
err分享
err收藏
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
errProcess Safety and Environmental Protection
IF7.8
err2025-07-16
err0
PREAI
errMeysam Alizamir; Salim Heddam; Sungwon Kim
err分享
err收藏
Development of interpretable intelligent frameworks for estimating river water turbidity开发可解释的智能框架以估计河流水体浊度
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2025-06-06
err0
errOAAI
errAmin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
err分享
err收藏
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
errSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF3.6
err2025-04-28
err0
PREAI
errDaif, Noureddine; Di Nunno, Fabio; Granata, Francesco; Difi, Salah; Kisi, Ozgur; Heddam, Salim; Kim, Sungwon; Adnan, Rana Muhammad; Zounemat-Kermani, Mohammad
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Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou Syncline Region, Algeria从总溶解固体和矿化度中提取主要地下水离子的人工神经网络方法：阿尔及利亚阿夫卢向斜地区的案例研究
errhydrology
IF3.2
err2025-04-25
err0
errOAAI
errStamboul, Mohammed Elamin; Habib, Azzaz; Hamimed, Abderrahmane; Zakhrouf, Mousaab; Chung, Il-Moon; Kim, Sungwon
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An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2025-02-01
err0
PREAI
errAlizamir, Meysam; Moradveisi, Kayhan; Ahmed, Kaywan Othman; Bahrami, Jamil; Kim, Sungwon; Heddam, Salim
err分享
err收藏
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete
errSCIENTIFIC REPORTS
IF3.9
err2024-09-03
err5
errOAAI
errAlizamir, Meysam; Gholampour, Aliakbar; Kim, Sungwon; Keshtegar, Behrooz; Jung, Woo-tai
err分享
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A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
errSCIENTIFIC REPORTS
IF3.9
err2024-05-09
err7
errOAAI
errJoshi, Bhupendra; Singh, Vijay Kumar; Vishwakarma, Dinesh Kumar; Ghorbani, Mohammad Ali; Kim, Sungwon; Gupta, Shivam; Chandola, V. K.; Rajput, Jitendra; Chung, Il-Moon; Yadav, Krishna Kumar; Mirzania, Ehsan; Al-Ansari, Nadhir; Mattar, Mohamed A.
err分享
err收藏
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT
errECOLOGICAL INFORMATICS
IF7.3
err2023-12-01
err10
PREAI
errHeddam, Salim; Merabet, Khaled; Difi, Salah; Kim, Sungwon; Ptak, Mariusz; Sojka, Mariusz; Zounemat-Kermani, Mohammad; Kisi, Ozgur
err分享
err收藏

研究方向

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