Author

Nadir Subaşı

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Open access Sep 2026

Adaptive Hybrid GWO–SSA Optimized Deep Learning Framework for Accurate Power Forecasting of Next-Generation Perovskite Photovoltaic Systems Under Desert Climate Conditions

Accurate photovoltaic (PV) power forecasting is essential for enhancing grid stability, optimizing energy management, and facilitating the large-scale integration of renewable energy resources. Although deep learning techniques have demonstrated promising results in PV forecasting, their predictive performance is highl...

Ali Mahmood Aswad, M. Aliyev, Aysel Ersoy et al. · Applied Sciences · 0 citations

Open access Sep 2026

Comparative Analysis of Ensemble Learning Methods for Software Reliability Prediction

The results demonstrate that ensemble methods provide superior performance in identifying reliability levels, and which classification method is most suitable for predicting software reliability based on code metrics such as Cyclomatic Complexity and Halstead Volume.

Nadir Subaşı, Ö. Özer · Osmaniye Korkut Ata Üniversi... · 0 citations