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Author

Feyyaz Alpsalaz

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Conference Sep 2026

Machine Learning Based Predictive Maintenance: Comparative Evaluation of Fault Prediction Models

This study investigates the effectiveness of machine learning techniques in predictive maintenance for reducing unexpected machine faults and optimizing maintenance strategies. A synthetic dataset was utilized to model Faults based on key operational parameters such as temperature, torque, rotational speed, and product...

Feyyaz Alpsalaz, Y. Özüpak, H. Uzel et al. · 0 citations
Review Open access Jul 2026

Optimizing Electricity Demand Forecasting Using ARIMA, SARIMA, and GRU with Weather and Calendar Variables

The results of the experiment demonstrate that the GRU model performs better than ARIMA and SARIMA models especially for longer forecasting horizons due to its capability to learn nonlinear relationships and long-term temporal dependencies.

Emrah Aslan, Yıldırım Özüpak, Feyyaz Alpsalaz et al. · 0 citations
Open access Jul 2026

Comparing Explainable Artificial Intelligence and Deep Learning Models for MRI-Based Brain Tumor Diagnosis

This study investigates the application of deep learning architectures, including Convolutional Neural Network, VGG16, VGG19, ResNet50, and MobileNet, for brain tumor detection and classification and confirms that advanced deep learning architectures not only achieve high classification accuracy but also improve interp...

H. Uzel, Feyyaz Alpsalaz, Y. Özüpak et al. · 0 citations

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