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Талас Фикрет Курназ

Observed names: Fikret Kurnaz, Kurnaz, T. Fikret, Kurnaz, T.Fikret, Kurnaz, Talas Fikret, T. F. Kurnaz, T. Fikret KURNAZ, T. Fikret Kurnaz, Talas Fikret Kurnaz
ORCID: 0000-0003-2079-8315
Observed ORCID: 0000-0003-2079-8315
OpenAlex ID: A5023559407
Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach
2024 · Talas Fikret Kurnaz, Caner Erden, et al. · Natural Hazards · 69
Prediction of compressibility parameters of the soils using artificial neural network
2016 · T. Fikret Kurnaz, Ugur Dagdeviren, et al. · SpringerPlus · 63
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A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
2023 · Talas Fikret Kurnaz, Caner Erden, et al. · Engineering Geology · 54
Prediction of the California bearing ratio (CBR) of compacted soils by using GMDH-type neural network
2019 · T. Fikret Kurnaz, Yilmaz Kaya · The European Physical Journal Plus · 51
The performance comparison of the soft computing methods on the prediction of soil compaction parameters
2020 · Talas Fikret Kurnaz, Yilmaz Kaya · Arabian Journal of Geosciences · 47
The comparison of the performance of ELM, BRNN, and SVM methods for the prediction of compression index of clays
2018 · Talas Fikret Kurnaz, Yilmaz Kaya · Arabian Journal of Geosciences · 46
A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction
2019 · T. Fikret Kurnaz, Yilmaz Kaya · Environmental Earth Sciences · 32
Estimation of soil liquefaction using artificial intelligence techniques: an extended comparison between machine and deep learning approaches
2025 · Eyyüp Hakan Şehmusoğlu, Talas Fikret Kurnaz, et al. · Environmental Earth Sciences · 25
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The seismicity assessment and probabilistic seismic hazard analysis of the plateau containing large dams around the East Anatolian Fault Zone, eastern Türkiye
2023 · Murat Utkucu, Talas Fikret Kurnaz, et al. · Environmental Earth Sciences · 21
SPT-based liquefaction assessment with a novel ensemble model based on GMDH-type neural network
2019 · Talas Fikret Kurnaz, Yilmaz Kaya · Arabian Journal of Geosciences · 17
Probabilistic seismic hazard analysis of Kahramanmaras Province, Turkey
2018 · Yigit Ince, Talas Fikret Kurnaz · Arabian Journal of Geosciences · 15
A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction
2024 · Alparslan Serhat Demir, Talas Fikret Kurnaz, et al. · Environmental Earth Sciences · 13
An alternative method for the particle size distribution: Image processing
2022 · Mert AYDIN, T. Fikret KURNAZ · Turkish Journal of Engineering · 13
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Evaluation of the Compressibility Parameters of Soils Using Soft Computing Methods
2018 · U. Dagdeviren, A. S. Demir, et al. · Soil Mechanics and Foundation Engineering · 13
An integrated SHAP-MCDM approach for slope stability prediction based on machine learning algorithms
2025 · Alparslan Serhat Demir, Uğur Dağdeviren, et al. · Natural Hazards · 9
Explainable AI using ensemble machine learning with integrated SHapley additive explanations (SHAP)-Borda approach for estimation of the safety factor against soil liquefaction
2025 · Uğur Dağdeviren, Alparslan Serhat Demir, et al. · Environmental Earth Sciences · 8
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation
2024 · Abdullah Hulusi Kökçam, Caner Erden, et al. · Natural Hazards · 7
Evaluation of seismic hazard with probabilistic approach for Antakya Province (Turkey)
2020 · Talas Fikret Kurnaz, Yigit Ince · Journal of Earth System Science · 4
Prediction of soil compaction parameters using AutoML with multidataset validation
2026 · Caner Erden, Alparslan Serhat Demir, et al. · Computers & Industrial Engineering · 3
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Evaluation of the Soil Characteristics and Liquefaction Risk in Kazimpasa, Adapazari (turkey), Case Study
2017 · T. Fikret Kurnaz · Turkish Journal of Engineering · 2
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Dataset: Geotechnical Properties and California Bearing Ratio (CBR) Values of Soil Samples from Türkiye
2026 · Kokcam, Abdullah Hulusi, Dagdeviren, Ugur, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Frequency ratio and machine learning-based classification of landslide susceptibility in the west of Mersin province, Türkiye: An integrated approach using SMOTE
2026 · Çağrı Çağan, Talas Fikret Kurnaz, et al. · Journal of African Earth Sciences · 1
Yerleşime uygunluğun Coğrafi Bilgi Sistemleri (CBS) ile sorgulanması, Esenler (İstanbul) örneği
2014 · T. Fikret Kurnaz, Şefik Ramazanoğlu · Sakarya University Journal of Science · 1
Generalized LIME-based feature ranking for California bearing ratio prediction using SHAP and LIME–BORDA approaches
2026 · Abdullah Hulusi Kökçam, Uğur Dağdeviren, et al. · Advanced Engineering Informatics
Liquefaction-induced settlement prediction using ensemble machine learning and LIME-based explainable AI
2026 · Uğur Dağdeviren, Abdullah Hulusi Kökçam, et al. · Environmental Earth Sciences
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Works count: 35
Citation count: 515
H-index: 13
I10-index: 14
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