Predatory journals: Who publishes in them and why? von Demir, Selcuk Besir

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Scholarly databases under scrutiny von Demir, Selcuk Besir

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Bridging Geo-Data and Natural Gas Pipeline Design Standards: A Systematic Review of BIM-GIS Integration for Natural Gas Pipeline Asset Management von Demir, Selcuk, Yomralioglu, Tahsin

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Synthesis, Structure, and Metalation of Two New Highly Porous Zirconium Metal–Organic Frameworks von Morris, William, Volosskiy, Boris, Demir, Selcuk, Gándara, Felipe, McGrier, Psaras L, Furukawa, Hiroyasu, Cascio, Duilio, Stoddart, J. Fraser, Yaghi, Omar M

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Syrian Refugees Minors in Turkey. Why and how are they Discriminated Against and Ostracized? von Demir, Selcuk Besir, Ozgul, Volkan

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Voices from Syrian Minors as Refugees: Expectations from the International Community von Demir, Selcuk Besir

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A Structural Model on the Role of Perceived Multi-Dimensional Social Support in Attitudinal Variables von Demir, Selcuk

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An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost von Demir, Selçuk, Sahin, Emrehan Kutlug

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Structural Capital's Contribution to Teacher's Job Satisfaction: The Mediating Role of Organizational Commitment von Demir, Selcuk

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Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-C... von Demir, Selçuk, Sahin, Emrehan Kutlug

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Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the pe... von Demir, Selçuk, Şahin, Emrehan Kutluğ

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The Role of Self-Efficacy in Job Satisfaction, Organizational Commitment, Motivation and Job Involvement von DEMIR, Selcuk

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Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil von Demir, Selçuk

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Assessing the predictive capability of DeepBoost machine learning algorithm powered by hyperparameter tuning methods for slope stability prediction von Demir, Selçuk, Sahin, Emrehan Kutlug

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The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction von Demir, Selçuk, Sahin, Emrehan Kutlug

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Zirconium-based highly porous metal-organic framework (MOF-545) as an efficient adsorbent for vortex assisted-solid phase extraction of lead from cereal, beverage and water samples von Tokalıoğlu, Şerife, Yavuz, Emre, Demir, Selçuk, Patat, Şaban

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Designing bipyridine-functionalized zirconium metal–organic frameworks as a platform for clean energy and other emerging applications von Tu, Thach N., Nguyen, My V., Nguyen, Ha L., Yuliarto, Brian, Cordova, Kyle E., Demir, Selçuk

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Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data von Demir, Selcuk, Sahin, Emrehan Kutlug

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Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential von Sahin, Emrehan Kutlug, Demir, Selcuk

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A model of attitudinal outcomes of teachers’ psychological capital von Karakus, Mehmet, Ersozlu, Alpay, Demir, Selcuk, Usak, Muhammet, Wildy, Helen

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