Haberleşme Sistemlerinde Turbo Kodlama ve Turbo İlkesinin Bazı Pratik Uygulamaları by Selman KULAÇ, Murat Hüsnü SAZLI

“…Temelde turbo kodlama kod çözme mimarisi, aralarında serpiştiricilerin de yer aldığı özyineli sistematik katlamalı kodlayıcıların (Recursive Systematic Convolutional Encoder, RSC) paralel sıralanması (concatenation), SISO (soft input, soft output – yumuşak giriş, yumuşak çıkış) kod çözücüler arasında döngülü (iterative) bilgi değişimine dayalı kod çözme yaklaşımı sunan bir yapı içermektedir. …”
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Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification. by Shulan Wang, Siyu Liu, Mengting Jin, Pingmei Fan

“…Second, a bidirectional LSTM-driven attention module iteratively optimizes channel and spatial weights, enhancing detail perception for low-frequency categories. …”
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Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000 by Yabin Zhang, Lei Yu, Yuting Lv, Tiantian Yang, Qi Guo

“…High-frequency keywords include “alzheimer’s disease,” “parkinson’s disease,” “magnetic resonance imaging,” “convolutional neural network,” “biomarkers,” “dementia,” “classification,” “mild cognitive impairment,” “neuroimaging,” and “feature extraction.” …”
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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

“…For the U-Net network, the CBAM attention module is added before decoder skip connections, and depth-separable convolutions replace traditional kernels to strengthen feature fusion and detail attention. …”
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