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Educational data mining: prediction of students’ academic performance using machine learning algorithms
(Springer Open, 2022)
Educational data mining has become an efective tool for exploring the hidden relationships in educational data and predicting students’ academic achievements. This study proposes a new model based on machine learning ...
The Effect of Web Pedagogical Content Knowledge and Study Approach on Academic Achievement in Web-Based Learning
(Çukurova Üniversitesi, 2020)
The aim of this study is to examine the effect of web pedagogical content knowledge (WPCK) and learning styles on the academic achievement of students in web -based learning. The research was conducted with 49 students (25 ...
Detection of Proxy Misconfigurations via Log Alarms
(IEEE, 2018)
Today, institutions use proxy products for the internet access of their users and arrange the internet access policies of their users by way of this device. Even though proxy takes on the internet access load of the ...
Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
(Multidisciplinary Digital Publishing Institute, 2022)
Mask usage is one of the most important precautions to limit the spread of COVID-19. Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage classification might be used to improve compliance ...
Investigating the Impact of Code Refactoring Techniques on Energy Consumption in Different Object-Oriented Programming Languages
(Springer Science and Business Media Deutschland GmbH, 2020)
Code refactoring techniques that are used to improve the properties of the code such as readability, performance, maintenance are applied to the code depending on the type of coding. However, these techniques could increase ...
A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method
(Churchill Livingstone, 2020)
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop ...
Ensemble residual network-based gender and activity recognition method with signals
(Springer, 2020)
Nowadays, deep learning is one of the popular research areas of the computer sciences, and many deep networks have been proposed to solve artificial intelligence and machine learning problems. Residual networks (ResNet) ...
RGB-D Indoor mapping using deep features
(IEEE Computer Society, 2019)
RGB-D indoor mapping has been an active research topic in the last decade with the advance of depth sensors. However, despite the great success of deep learning techniques on various problems, similar approaches for SLAM ...
A novel hybrid algorithm for morphological analysis: artificial Neural-Net-XMOR
(Turkiye Klinikleri, 2022)
In this study, we present a novel algorithm that combines a rule-based approach and an artificial neural network-based approach in morphological analysis. The usage of hybrid models including both techniques is evaluated ...
Classification and Prediction Retinal Oct Images by CNN Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2022)
WHO says diabetic retinopathy is a leading cause of blindness. Complexity and quietness make early detection challenging. DR treatment is stage-dependent. Treatment slows disease progression. Ophthalmologists may initially ...
