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Author

Talip Çay

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Open access Sep 2026

Multimodal Fusion of Electrocardiogram Signals and Demographic Characteristics with Cross-Attention Networks in the Classification of Cardiovascular Diseases

This study aims to simultaneously classify five main classes of cardiovascular diseases using data obtained from the PTB-XL database and defined with SCP diagnostic codes using a proposed architecture consistent with the literature and presents a methodological framework consistent with the literature.

Talip Çay, Emre Ölmez · 0 citations
Open access Aug 2026

Deep Learning-Supported Hybrid Renewable Energy System Optimization

Deep learning–based surrogate models can generate sizing decisions comparable to those obtained using PSO with only a fraction of the computational effort, and provide a fast and practical alternative to conventional iterative optimization methods for component sizing in smart grid and sustainable energy planning appli...

Yasemin Alakoç Bozkurt, Cemil Altın, Talip Çay · 1 citation

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