Bölüm Çalışmaları

2024 Yılında Yayınlanan Makaleler
1	Yüksek, E., & Yüksek, A. G. (2024). An Innovative Approach to Improve Point Location Detection System with ANFIS using RSSI Signals and Fingerprinting Method. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 40(1), 92-107.
2	Akkaya, S., Yüksek, E., & Akgün, H. M. (2024). A new comparative approach based on features of subcomponents and machine learning algorithms to detect and classify power quality disturbances. Electric Power Components and Systems, 52(8), 1269-1292.
3	AKKAYA, S., YÜKSEK, E., & AKGÜN, H. M. (2024). A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window. ELECTRICAL ENGINEERING, 19–0.
4	Dümen, S., Kavalcı Yılmaz, E., Adem, K., & Avaroglu, E. (2024). Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories. European Food Research and Technology, 1-12.
5	YILMAZ, E. K., & BAKIR, H. (2023). Hyperparameter tunning and feature selection methods for malware detection. Politeknik Dergisi, 1-1.
6	Aasim, M., Katırcı, R., Acar, A. Ş., & Ali, S. A. (2024). A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for light emitting diodes mediated in vitro micropropagation of black mulberry (Morus nigra L.). Industrial Crops and Products, 213, 118397.
7	Bakır, H., Çayır, A. N., & Navruz, T. S. (2024). A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification. Multimedia Tools and Applications, 83(6), 17601-17628.
8	Demircioğlu, U., Sayil, A., & Bakır, H. (2024). Detecting cutout shape and predicting its location in sandwich structures using free vibration analysis and tuned machine-learning algorithms. Arabian Journal for Science and Engineering, 49(2), 1611-1624.
9	Bakır, H. (2024). VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models. Multimedia Tools and Applications, 1-22.
10	Sungur, F., & Bakır, H. (2024). Hiperparametre ayarlama ve veri dengelemenin kalp hastalığı tahmini için kullanılan makine öğrenimi algoritmaları üzerindeki etkilerinin incelenmesi. Bilişim Teknolojileri Dergisi, 17(1), 45-58.
11	Bakır, R., Erbay, H., & Bakır, H. (2024). ALBERT4Spam: A Novel Approach for Spam Detection on Social Networks. Bilişim Teknolojileri Dergisi, 17(2), 81-94.
12	Bakır, H., & Ceviz, Ö. (2024). Empirical enhancement of intrusion detection systems: a comprehensive approach with genetic algorithm-based hyperparameter tuning and hybrid feature selection. Arabian Journal for Science and Engineering, 1-19
13	Demircioğlu, U., & Bakır, H. (2024). Artificial Intelligence-Based Position Control: Reinforcement Learning Approach in Spring Mass Damper Systems. Physica Scripta.
14	BAKIR, H., DEMİRCİOĞLU, U., BAKIR, R., & ADEM, K. (2024). A Deep Learning-Based Approach for Image Denoising: Harnessing Autoencoders for Removing Gaussian and Salt-Peper Noises.
15	Bakır, H. (2024). Evaluating the impact of tuned pre-trained architectures' feature maps on deep learning model performance for tomato disease detection. Multimedia Tools and Applications, 83(6), 18147-18168.
16	Demircioğlu, U., Bakır, H., & Çakır, M. T. (2024). Machine learning analysis of data obtained by finite element method: a new approach in structural design. Physica Scripta, 99(3), 036004.
17	Bakır, R., Orak, C., & Yüksel, A. (2024). Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model. International Journal of Hydrogen Energy, 67, 101-110.

2023 Yılında Yayınlanan Makaleler
1	Yılmaz, E. K., Adem, K., Kılıçarslan, S., & Aydın, H. A. (2023). Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network. European Food Research and Technology, 249(6), 1655-1667.
2	Coşkun, C., & Yüksek, E. Hepatit hastalığının tespitinde bulanık mantık ve makine öğrenmesi yöntemlerinin karşılaştırılması. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 14(4), 539-546.
3	İşlek, B., & Erol, P. D. H. (2023). Yüz İfadelerini Sınıflandırmada CNN Modellerinde Kullanılan Optimizasyon Yöntemlerinin Karşılaştırılması. Bilgisayar Bilimleri Ve Teknolojileri Dergisi, 4(1), 1-7. https://doi.org/10.54047/bibted.1206885
4	Bakır, H., & Bakır, R. (2023). DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms. Computers and Electrical Engineering, 110, 108804.
5	Bakır, H., & Elmabruk, K. (2023). Deep learning-based approach for detection of turbulence-induced distortions in free-space optical communication links. Physica Scripta, 98(6), 065521.
6	Demircioğlu, U., & Bakır, H. (2023). Deep learning-based prediction of delamination growth in composite structures: Bayesian optimization and hyperparameter refinement. Physica Scripta, 98(10), 106004.
7	Katırcı, R., & Yıldız, B. K. (2023). Prediction of fracture behavior of Al2O3-Cr2O3 ceramics in different Cr2O3 ratios under flexure load using machine learning methods. Computational Materials Science, 228, 112362.
8	Katirci, R., & Danaci, K. I. (2023). The optimization of nickel electroplating process parameters with artificial intelligence methods. Journal of Applied Electrochemistry, 53(10), 2077-2089.
9	Dogan, Y., Katirci, R., Erdogan, İ., & Yartasi, E. (2023). Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor. Optics Communications, 534, 129332.
10	Mirza, K., Aasim, M., Katırcı, R., Karataş, M., & Ali, S. A. (2023). Machine learning and artificial neural networks-based approach to model and optimize ethyl methanesulfonate and sodium azide induced in vitro regeneration and morphogenic traits of water hyssops (Bacopa monnieri L.). Journal of Plant Growth Regulation, 42(6), 3471-3485.
11	Bakır, H., & Bakır, R. (2023). Evaluating the robustness of yolo object detection algorithm in terms of detecting objects in noisy environment. Journal of Scientific Reports-A, (054), 1-25.
12	Ghanem, R., Erbay, H., & Bakour, K. (2023). Contents-based spam detection on social networks using RoBERTa embedding and stacked BLSTM. SN Computer Science, 4(4), 380.
13	Ghanem, R., & Erbay, H. (2023). Spam detection on social networks using deep contextualized word representation. Multimedia Tools and Applications, 82(3), 3697-3712.