Çakır, M. F., Karhan, M., & Issı, F. (2024). Investigation of Wettability Behavior and Surface Topology of PVC Materials Used in Outdoor Applications. Politeknik Dergisi, 27(2), 809-817. https://doi.org/10.2339/politeknik.1439690

Karhan, M., & Arslan, Ö. (2024). A new approach based on 2D wavelet transform in the analysis of wettability behavior and evaporation rate for the surface of PTFE dielectric material used in high voltage applications. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 135115. https://doi.org/10.1016/j.colsurfa.2024.135115

Akbas, A., Buyrukoglu, G., & Buyrukoglu, S. Hybrid optimization approach for energy minimization in wireless sensor networks leveraging XGBoost and random forest. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-13.  https://dx.doi.org/10.3233/JIFS-234798

Sivari, E., Civelek, Z., & Sahin, S. (2024). Determination and classification of fetal sex on ultrasound images with deep learning. Expert Systems with Applications, 240, 122508. https://dx.doi.org/10.1016/j.eswa.2023.122508 

Güler, O. (2024). Turbofan motorlarının kestirimci bakımında makine öğrenimi algoritmaları performanslarının karşılaştırılması. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 13(1), 99-106. https://dx.doi.org/10.28948/ngumuh.1266541

Güler, O. (2024). A Model Design Using Blockchain and Smart Contracts Against Cyberattacks in Smart Home Systems. Acta Infologica, 8(1), 11-22. https://dx.doi.org/10.26650/acin.1349544

Sürücü, S., & Demirkıran, E. (2024). CONVCAT: A NEW CLASSIFICATION APPROACH USING UC MERCED AND RESISC45 DATASETS. Eurasian Journal of Science Engineering and Technology, 5(1), 9-15. https://dx.doi.org/10.55696/ejset.1417172

Ecemis, I. N., Ekinci, F., Acici, K., Guzel, M. S., Medeni, I. T., & Asuroglu, T. (2024). Exploring Blockchain for Nuclear Material Tracking: A Scoping Review and Innovative Model Proposal. Energies, 17(12), 3028. https://dx.doi.org/10.3390/en17123028

Sivari, E., Civelek, Z., & Sahin, S. (2024). Determination and classification of fetal sex on ultrasound images with deep learning. Expert Systems with Applications, 240, 122508. https://dx.doi.org/10.1016/j.eswa.2023.122508

Buyrukoğlu, S., & Savaş, S. (2023). Stacked-based ensemble machine learning model for positioning footballer. Arabian Journal for Science and Engineering, 48(2), 1371-1383.

Doğru, A., Buyrukoğlu, S., & Arı, M. (2023). A hybrid super ensemble learning model for the early-stage prediction of diabetes risk. Medical & Biological Engineering & Computing, 61(3), 785-797.

Akbas, A., & Buyrukoglu, S. (2023). Stacking ensemble learning-based wireless sensor network deployment parameter estimation. Arabian Journal for Science and Engineering, 48(8), 9739-9748.

Buyrukoğlu, S. (2023). A novel color labeled student modeling approach using e-learning activities for data mining. Universal Access in the Information Society, 22(2), 569-579.

Sürücü, S., & Diri, B. (2023). Transferemble: a classification method for the detection of fake satellite images created with deep convolutional generative adversarial network. Journal of Electronic Imaging, 32(4), 043004-043004.

Sivari, E., Senirkentli, G. B., Bostanci, E., Guzel, M. S., Acici, K., & Asuroglu, T. (2023). Deep learning in diagnosis of dental anomalies and diseases: A systematic review. Diagnostics, 13(15), 2512.

Sivari, E., Bostanci, E., Guzel, M. S., Acici, K., Asuroglu, T., & Ercelebi Ayyildiz, T. (2023). A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models. Diagnostics, 13(4), 720.

Buyrukoğlu, S., Yılmaz, Y., & Topalcengiz, Z. (2022). Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters. Environmental Monitoring and Assessment, 194(5), 373.

Arslan, Ö., & Karhan, M. (2022). Effect of Hilbert-Huang transform on classification of PCG signals using machine learning. Journal of King Saud University-Computer and Information Sciences, 34(10), 9915-9925.

Karhan, M. (2022). Analysis of Wettability Characteristics in the Absence of the Electric Field and Under HVDC using Designed and Implemented an Experimental Platform for Contact Angle Measurement. Brazilian Journal of Physics, 52(1), 9.

Nişancı, S., İpekoglu, M., Nişancı, M. H., Karhan, M., & Uğur, M. (2022). Investigation of the effects of additives on the electrical and magnetic properties of polyester resin.

Sivari, E., Güzel, M. S., Bostanci, E., & Mishra, A. (2022, March). A novel hybrid machine learning based system to classify shoulder implant manufacturers. In Healthcare (Vol. 10, No. 3, p. 580). MDPI.

Ecemiş, İ. N., & İLHAN, H. O. (2022). Domates yapraklarında hastalık tespiti için önerilen hafif evrişimli sinir ağı ile önceden eğitilmiş ağların performans karşılaştırması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 38(2), 693-706.

Buyrukoğlu, G., Buyrukoğlu, S., & Topalcengiz, Z. (2021). Comparing regression models with count data to artificial neural network and ensemble models for prediction of generic Escherichia coli population in agricultural ponds based on weather station measurements. Microbial Risk Analysis, 19, 100171.

Buyrukoğlu, S. (2021). New hybrid data mining model for prediction of Salmonella presence in agricultural waters based on ensemble feature selection and machine learning algorithms. Journal of Food Safety, 41(4), e12903.

Karhan, M., Çakır, M. F., & Arslan, Ö. (2021). Investigation of the effect of roughness value on the wettability behavior under electric field in XLPE materials used in medium and high voltage applications. Electrical Engineering, 103(6), 3225-3238.

Karhan, M., Çakır, M. F., & Uğur, M. (2021). A new approach to the analysis of water treeing using feature extraction of vented type water tree images. Journal of Electrical Engineering & Technology, 16, 1241-1252.

Çakir, M. F. (2021). ANN (Artificial Neural Network) controlled virtual laboratory design for NdFeB magnet production. Tehnički vjesnik, 28(1), 334-339.

Karhan, M., ÇAKIR, M. F., Arslan, Ö., Fatih, I. S. S. I., & Eyüpoğlu, V. (2021). XLPE dielektrik malzemelerde elektrik alanının temas açısına ve damlacık şekline etkisi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 36(3), 1747-1760.

Karhan, M. (2021). Experimental investigation of wettability and evaporation for the surface of PMMA dielectric material used in high-voltage applications and outdoor electrical applications. Applied Physics A, 127(6), 462.

Etem, T., & Kaya, T. (2020). Self-generated encryption model of acoustics. Applied Acoustics, 170, 107481.

Etem, T., & Kaya, T. (2020). A novel true random bit generator design for image encryption. Physica A: Statistical Mechanics and Its Applications, 540, 122750.

Buyrukoglu, S., Batmaz, F., & Lock, R. (2019). Improving marking efficiency for longer programming solutions based on a semi‐automated assessment approach. Computer Applications in Engineering Education, 27(3), 733-743.

Sahin, S., Akata, E., Sahin, O., Tuncay, C., & Özkan, H. (2017). A novel computer-based method for measuring the acetabular angle on hip radiographs. Acta orthopaedica et traumatologica turcica, 51(2), 155-159.

Sahin, S., Tolun, M. R., & Hassanpour, R. (2012). Hybrid expert systems: A survey of current approaches and applications. Expert systems with applications, 39(4), 4609-4617.