YÖKSİS Makale Veritabanı

Predicting School Dropout Among International Students in Türkiye Using Machine Learning: A Case Study of Yemeni Students

Letter to the editor for the article “A machine learning approach using stone volume to predict stone-free status at ureteroscopy”

Letter to the editor for the article “A machine learning approach using stone volume to predict stone-free status at ureteroscopy”

Comparison of Diverse Machine Learning Algorithms for Forest Fire Susceptibility Mapping in Antalya, Türkiye

Estimation of Climate Change Parameters for Agricultural Economy Efficiency with Machine Learning Methods

Comment on: “Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones”

Machine Learning-Based Modeling of Tractor Fuel and Energy Efficiency During Chisel Plough Tillage

Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey

Predictability of varicocele repair success: preliminary results of a machine learning-based approach

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

The Innovative Approach to Real-Time Detection of Fuel Types Based on Ultrasonic Sensor and Machine Learning

The Innovative Approach to Real-Time Detection of Fuel Types Based on Ultrasonic Sensor and Machine Learning

Detection of Accident Situation by Machine Learning Methods Using Traffic Announcements: The Case of Metropol Istanbul

Detection of accident situation by machine learning methods using traffic announcements: the case of metropol Istanbul

A Comparative Analysis of Machine Learning Algorithms for Waste Classification: Inceptionv3 and Chi-Square Features

Machinability of different Cu-Gr composites in milling: Performance parameters prediction via machine learning models

Discrimination of radish seed cultivars using fluorescence spectroscopy and advanced machine learning algorithms

Anatomical Features of the Sacroiliac Joint and Machine Learning-Based Classification of Disease Types