SNORAP: A Device for the Correction of Impaired Sleep Health by Using Tactile Stimulation for Individuals with Mild and Moderate Sleep Disordered Breathing. - Mete Yaganoglu; Murat Kayabekir; Cemal Köse (Sensors, 2017)

Duyma engelliler için giyilebilir titreşim tabanlı ses tanıma uygulamaları (Wearable vibration based sound recognition applications for deaf) - Mete Yaganoglu (2018)

Real time wearable speech recognition system for deaf persons. - Mete Yaganoglu (Comput. Electr. Eng., 2021)

The effect of population and tourism factors on Covid-19 cases in Italy: Visual data analysis and forecasting approach. - Sezer Uguz; Mete Yaganoglu; Baris Özyer; Gülsah Tümüklü Özyer; Gül Tokdemir (Concurr. Comput. Pract. Exp., 2022)

Hepatitis C virus data analysis and prediction using machine learning. - Mete Yaganoglu (Data Knowl. Eng., 2022)

Detection of COVID-19 using deep learning techniques and classification methods. - Çinare Oguz; Mete Yaganoglu (Inf. Process. Manag., 2022)

A CNN-based hybrid model to detect glaucoma disease. - Çinare Oguz; Tolga Aydin; Mete Yaganoglu (Multim. Tools Appl., 2024)

Design and validation of IoT based smart classroom. - Mete Yaganoglu; Ferhat Bozkurt; F. Baturalp Günay; Sinan Kul; Emrah Simsek; Gökhan Öztürk; Selçuk Karaman (Multim. Tools Appl., 2024)

A novel integration of multiple learning methods for detecting misleading information from different datasets during the pandemic. - Muhammed Coskun Irmak; Tolga Aydin; Mete Yaganoglu (Eng. Appl. Artif. Intell., 2025)

Deep learning approach to detect cyberbullying on twitter. - Çinare Oguz Aliyeva; Mete Yaganoglu (Multim. Tools Appl., 2025)