Yaganoglu, Mete

A novel integration of multiple learning methods for detecting misleading information from different datasets during the pandemic

Estimating virtual water content and yield of wheat using machine learning tools

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

Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers

Domain Effect Investigation for Bert Models Fine-Tuned on Different Text Categorization Tasks

A CNN-based hybrid model to detect glaucoma disease

BERT-AraPeotry: BERT-based Arabic Poems Classification Model

Predicting Child Development Status: Can Machine Learning Help?

SPINDILOMETER: a model describing sleep spindles on EEG signals for polysomnography

Recognition of Colon Polyps (Tubular Adenoma, Villous Adenoma) and Normal Colon Epithelium Histomorphology with Transfer Learning

Design and validation of IoT based smart classroom

The effect of population and tourism factors on Covid-19 cases in Italy: Visual data analysis and forecasting approach

The relationship between snoring sounds and EEG signals on polysomnography

Monkeypox Skin Lesion Detection with MobileNetV2 and VGGNet Models

Hepatitis C virus data analysis and prediction using machine learning

Detection of COVID-19 using deep learning techniques and classification methods

Spindilometer: A Novel Diagnostic Approach to Assist Physicians in Determining Sleep Spindle Number and Density in Polysomnography

Real time wearable speech recognition system for deaf persons