Faster-than-Nyquist (FTN) signaling can improve spectral efficiency by transmitting symbols closer together than the Nyquist limit, at the cost of additional inter-symbol interference (ISI). In this letter, we study the finite-alphabet symbol-wise achievable information rate (AIR) of FTN signaling for BPSK, QPSK, and 1...
Emre Çerçi, A. Çiçek, Melda Yuksel et al.· 0 citations
Cardiomegaly is a clinically important indicator of cardiovascular risk, yet its detection from chest radiographs remains challenging due to inter-observer variability and the limited deployability of current deep learning models in resource-constrained settings. To address these limitations, we propose MEE-Net (Me...
Yaser Dalveren, Mehmet Zahid Genç, Ali Kara et al.· Scientific Reports· 0 citations
Experimental results demonstrate that the proposed framework achieves high classification performance while maintaining an effective balance between detection accuracy and computational efficiency, indicating that the proposed method may offer a practical approach for ITS applications involving low-resolution surveilla...
Yaser Dalveren, Bamoye Maiga, Ali Kara et al.· Scientific Reports· 0 citations
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