Completeness-driven sequential imputation for sparse meteorological networks: a gradient boosting framework for mountainous regions

Burak Çırağ, Reşat Acar, Mete Yağanoğlu, Selim Şengül

• WoS Q1
• Scopus Q1

Hybrid deep learning framework with feature fusion for cerebrospinal fluid leak detection

Çinare Oğuz Aliyeva, Mete Yağanoğlu, Hasay Guliyev

• WoS Q1
• Scopus Q1

Overcoming Generalization Issues in Flood Prediction: A Machine Learning Approach Across Multiple Basins

Ufuk Yükseler, ÖMERUL FARUK DURSUN, Mete Yağanoğlu, Abdolmajid Mohammadian

• WoS Q2
• Scopus Q1
• PlumX

Bilgisayar Görüntüleme Yöntemleri Kullanılarak Ultrason Görüntülerinde Karotis Arter Stenozunun Segmentasyonu ve Ölçümü

Elçin Bilici, Mete Yağanoğlu

• PlumX

EEG-motion: a novel algorithm that detect restless legs syndrome using EEG signals on polysomnography

Murat Kayabekir, Seda Kaya, Mete Yağanoğlu

• Scopus Q1
• PlumX

Machine Learning-Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

İlker Angın, Hasan Er, Mete Yağanoğlu, Muhammed Sungur Demir, Abdullah Muratoglu

• WoS Q2
• Scopus Q2
• WoS 2 atıf
• Scopus 2 atıf
• PlumX

Enhancing Road Accident Severity Prediction via Integrated Feature Engineering and Machine Learning

Mete Yağanoğlu

• Scopus Q2
• PlumX

Unapparent Parenchymal Density Changes in the Negative CT Examinations of Patients with COVID-19 Pneumonia

Bahar Yılmaz Çankaya, Ahmet Yalçın, GÖKHAN POLAT, Adem Karaman, Fatih Alper, RECEP SADE, RÜSTEM BERHAN PİRİMOĞLU, METİN AKGÜN, Mete Yağanoğlu, Fatih Albayrak

Reconstructing Missing Streamflow Data in Mountainous, Snow-Dominated Regions Using Optimized Hybrid Machine Learning

Burak Çırağ, Reşat Acar, Okan Mert Katipoğlu, Mete Yağanoğlu, Selim Şengül

• WoS Q1
• Scopus Q1
• WoS 12 atıf
• Scopus 13 atıf
• PlumX

Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis

Abdullah Ammar Karcıoğlu, Rabia Meryem Yılmaz, Mete Yağanoğlu, Mahmoud Almohammad, Abubekir Laloğlu

• Scopus Q1
• Scopus 2 atıf
• PlumX

Deep Prototype-Calibrated Learning for Multi-Class Assessment of Osteoporotic Status Using Knee Radiographs

Abdulfattah Ba Alawi, Ferhat Bozkurt, Mete Yağanoğlu

A Hybrid Lightweight ResNet50-1D-CNN Transfer Learning Model for Accurate Eye Disease Classification

Mete Yağanoğlu, Pijush Dutta, Prodip Deb, Anubrata Mondal, Atri Adhikari, Jyoti Sekhar Banerjee

Comparative Evaluation of YOLO-based Architectures for Dangerous Object Detection in Surveillance Imagery

Abdulfattah BA ALAWI, Ferhat Bozkurt, Mete Yağanoğlu

A Hybrid Parallel Architecture with BERT and BiLSTM for Enhanced Analysis of Turkish Educational Sentiment

Abdulfattah BA ALAWI, Ferhat Bozkurt, Mete Yağanoğlu

Textual Social Data Disinformation Analysis Using a Hybrid Context-Enhanced Deep Learning Model

Pijush Dutta, Balaji Adusupalli, Hara Krishna Reddy Koppolu, Abhishek Dodda, Mete Yağanoğlu, Jyoti Sekhar Banerjee, Arpita Chakraborty

• PlumX

Predicting Child Development Status: Can Machine Learning Help?

Önder Çoban, ENSAR ŞEHİTOĞLU, Mete Yağanoğlu

BERT-AraPeotry: BERT-based Arabic Poems Classification Model

Abdulfattah E. Ba Alawi, Ferhat Bozkurt, Mete Yağanoğlu

• WoS 1 atıf
• Scopus 2 atıf
• PlumX

Innovative Feature Engineering for Enhanced Heart Attack Prediction: A Novel Approach

Furkan Deveci, Mete Yağanoğlu

The Effect of Feature Selection Methods on the Performance of Classification Algorithms

SEDA KAYA, Tolga Aydın, Mete Yağanoğlu

Stetoskop Sesinden Kalp Atışı Anormalliklerinin Sınıflandırılması

ERKAN VEZİROĞLU, Ahmet Coşkunçay, Mete Yağanoğlu

Dijital Dönüşüm Teknolojileri ve İlgili Araştırmalar

Mete Yağanoğlu, Ferhat Bozkurt, Faruk Baturalp Günay

Wearable Vibration Based Computer Interaction and Communication System for Deaf

Mete Yağanoğlu, CEMAL KÖSE

NESNEYE YÖNELİK PROGRAMLAMAYA GİRİŞ (14. ÜNİTE)

Deniz Dal, Mete Yağanoğlu

Nesneye Yönelik Programlamaya Giriş

Mete Yağanoğlu