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Salim Heddam

universite de skikda

46H-index
246Paper Count
6.5KCitation Count
Published Papers 89
Publication Date
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River water temperature prediction using REMD, RLMD, and SVMD coupled with deep learning models
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
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Building a reliable coagulant dosage prediction framework for water purification processes using CatBoost and explainable AI (XAI)
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
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Explainable metaheuristic-optimized XGBoost models for chlorophyll-a concentration prediction: A comparative study based on SHAP and LIME interpretability
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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Explainable ensemble learning models for predicting rheological and mechanical properties of Self-Compacting concrete
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
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errSave
Improving prediction accuracy of mechanical strengths in high-performance concrete using advanced metaheuristic-based extreme learning machines: incorporation of SHAP and LIME model explainers
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
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Metaheuristic-optimized neuro-fuzzy models for meteorological drought prediction
errEnvironmental Earth Sciences
IF2.8
err2026-03-30
err0
errOAAI
errAlireza Docheshmeh Gorgij; Ozgur Kisi; Salim Heddam; Dinesh Kumar Vishwakarma; Hakan Ergun; Christoph Külls
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errSave
Improved prediction of geopolymer concrete compressive strength using metaheuristic-enhanced extreme learning models with combined SHAP and LIME for sustainable construction
errAin Shams Engineering Journal
IF5.9
err2026-02-16
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Gum-Sung Ryu
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errSave
Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decomposition
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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A Comparative Evaluation of Deep Learning and Machine Learning Models for River Suspended Sediment Concentration Forecasting
errWater Resources Management
IF4.7
err2025-12-23
err0
PREAI
errAmin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
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Explainable machine-learning workflow to improve real-time lithofacies identification using mudlogging data from a heterogeneous clastic reservoir sequence
errComputational Geosciences
IF2
err2025-12-15
err0
PREAI
errFetni, Yasmina; Ameur-Zaimeche, Ouafi; Wood, David A.; Heddam, Salim; Al-Mudhafar, Watheq J.; Kechiched, Rabah
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Accurate Multi-horizon Hourly Streamflow Forecasting Using ELM Optimized by GWO, BAT, DE, WOA, and GA Algorithms
errPure and Applied Geophysics
IF1.9
err2025-12-01
err0
PREAI
errDaif, Noureddine; Hebal, Aziz; Difi, Salah; Fettam, Djillali; Zerouali, Bilel; Heddam, Salim
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Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete
errArtificial Intelligence Review
IF13.9
err2025-11-11
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Jaehwan Kim
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errSave
Refining Groundwater Level Prediction with Kolmogorov–Arnold Architectures: A Dual Temporal–Frequency Domain Perspective
errEarth Systems and Environment
IF4.7
err2025-11-11
err0
PREAI
errFrancesco Granata; Fabio Di Nunno; Salim Heddam; Senlin Zhu
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Performance assessment of advanced data-intelligence models for solar radiation forecasting: a case study in a high solar potential region
errClimatic Change
IF4.8
err2025-10-09
err0
PREAI
errVahdettin Demir; Minglei Fu; Sani I. Abba; Bijay Halder; Iman Ahmadianfar; Salim Heddam; Huseyin Cagan Kılınc; Shafik S. Shafik; Mou Leong Tan; Zaher Mundher Yaseen
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Modeling Coagulant Dosage in Water Treatment Plant Using Explainable Deep Learning Model-Based SHapley Additive exPlanations (SHAP)
errWater Conservation Science and Engineering
IF1.9
err2025-10-03
err0
PREAI
errFouchal, Amel; Merabet, Khaled; Kisi, Ozgur; Di Nunno, Fabio; Granata, Francesco; Kim, Sungwon; Heddam, Salim; Zounemat-Kermani, Mohammad; Yaseen, Zaher Mundher
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errSave
Optimizing Daily Streamflow Forecasting Under Mediterranean Climate: A Novel Hybrid VMD-EWT and Deep Learning Framework
errPure and Applied Geophysics
IF1.9
err2025-10-01
err0
PREAI
errDaif, Noureddine; Hebal, Aziz; Difi, Salah; Heddam, Salim; Bailek, Nadjem; Zerouali, Bilel
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Photo-assisted degradation of rhodamine B with H₂O₂: Kinetics, modern machine learning prediction, and insights into a novel iron oxide catalyst
errphotochemistry and photobiology a chemistry
IF0
err2025-08-29
err0
errOAAI
errSalah Eddine Zahi; M.C. Hidalgo; J.A. Navío; Salim Heddam; Kerchich Yacine
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errSave
Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management
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
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errSave
Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins
errApplied Water Science
IF5.7
err2025-07-29
err0
errOAAI
errAhmed Elbeltagi; Abdullah A. Alsumaiei; Ali Raza; Mustafa Al-Mukhtar; Salim Heddam
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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
errProcess Safety and Environmental Protection
IF7.8
err2025-07-16
err0
PREAI
errMeysam Alizamir; Salim Heddam; Sungwon Kim
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Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
Ö
Özgür Kişi
H-index: 106 · Papers: 694
V
Vijay P. Singh
H-index: 103 · Papers: 1.1K
B
Binh Thai Pham
H-index: 95 · Papers: 330
Z
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
H-index: 89 · Papers: 647
S
Shamsuddin Shahid
H-index: 88 · Papers: 635
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