Performance analysis of the structural factors in the communication of the wireless sensor network. - Fatih Özyurt; Engin Avci; Taner Çevik (SIU, 2015)

Impacts of structural factors on energy consumption in cluster-based wireless sensor networks: a comprehensive analysis. - Taner Çevik; Fatih Özyurt (CoRR, 2015)

Algısal özet fonksiyonları tabanlı derin öğrenme yöntemleri kullanılarak imgelerin sınıflandırılması (Classification of images by using deep learning methods based on perceptual hash functions) - Fatih Özyurt (2019)

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice. - Türker Tuncer; Sengül Dogan; Fatih Özyurt; Samir Brahim Belhaouari; Halima Bensmail (IEEE Access, 2020)

Corrigendum to "Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method" Expert Systems with Applications 149 (2020) 1-8 /113274. - Mesut Togaçar; Zafer Cömert; Burhan Ergen; Fatih Özyurt (Expert Syst. Appl., 2020)

A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine. - Fatih Özyurt (Soft Comput., 2020)

UC-Merced Image Classification with CNN Feature Reduction Using Wavelet Entropy Optimized with Genetic Algorithm. - Fatih Özyurt; Engin Avci; Eser Sert (Traitement du Signal, 2020)

Efficient deep feature selection for remote sensing image recognition with fused deep learning architectures. - Fatih Özyurt (J. Supercomput., 2020)

An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning. - Fatih Özyurt; Türker Tuncer; Abdulhamit Subasi (Comput. Biol. Medicine, 2021)

Sentiment Analysis of Fast Food Companies With Deep Learning Models. - Ghazi Abdalla; Fatih Özyurt (Comput. J., 2021)

Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features. - Aykut Diker; Yasin Sönmez; Fatih Özyurt; Engin Avci; Derya Avci (Multim. Tools Appl., 2021)

Automatic Detection of COVID-19 Disease by Using Transfer Learning of Light Weight Deep Learning Model. - Fatih Özyurt (Traitement du Signal, 2021)

A deep feature warehouse and iterative MRMR based handwritten signature verification method. - Turker Tuncer; Emrah Aydemir; Fatih Özyurt; Sengül Dogan (Multim. Tools Appl., 2022)

Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response. - Fatih Özyurt; Jafar Majidpour; Tarik A. Rashid; Amir Majidpour; Canan Koc (CoRR, 2023)

Breast lesion classification using features fusion and selection of ensemble ResNet method. - Gulhan Kilicarslan; Canan Koc; Fatih Özyurt; Yeliz Gul (Int. J. Imaging Syst. Technol., 2023)

Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach. - Fatih Özyurt; Jafar Majidpour; Tarik A. Rashid; Canan Koc (CoRR, 2024)

MFIF-DWT-CNN: Multi-focus ımage fusion based on discrete wavelet transform with deep convolutional neural network. - Derya Avci; Eser Sert; Fatih Özyurt; Engin Avci (Multim. Tools Appl., 2024)

Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning. - Kazim Kivanç Eren; Kerem Küçük; Fatih Özyurt; Omar Hussain Alhazmi (IEEE Access, 2025)

Elasticnet-Based Vision Transformers for early detection of Parkinson's disease. - Esra Yüzgeç Özdemir; Fatih Özyurt (Biomed. Signal Process. Control., 2025)

An innovative approach to classify meniscus tears by reducing vision transformers features with elasticnet approach. - Hasan Genç; Canan Koc; Esra Yüzgeç Özdemir; Fatih Özyurt (J. Supercomput., 2025)