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Expert Operational GANS: Towards Real-Color Underwater Image Restoration
Ozer Can Devecioglu, Serkan Kiranyaz, Mehmet Yamac +1
The wide range of deformation artifacts that arise from complex light propagation, scattering, and depth-dependent attenuation makes the underwater image restoration to remain a ch…
Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing
Mehmet Yamaç, Muhammad Numan Yousaf, Serkan Kiranyaz +1
Multilayer perceptrons (MLP), or fully connected artificial neural networks, are known for performing vector-matrix multiplications using learnable weight matrices; however, their…
Progressive Transfer Learning for Multi-Pass Fundus Image Restoration
Uyen Phan, Ozer Can Devecioglu, Serkan Kiranyaz +1
Diabetic retinopathy is a leading cause of vision impairment, making its early diagnosis through fundus imaging critical for effective treatment planning. However, the presence of…
Dual-Domain Fusion for Semi-Supervised Learning
Tuomas Jalonen, Mohammad Al-Sa'd, Serkan Kiranyaz +1
Labeled time-series data is often expensive and difficult to obtain, making it challenging to train accurate machine learning models for real-world applications such as anomaly det…
CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal Restoration
Muhammad Uzair Zahid, Serkan Kiranyaz, Alper Yildirim +1
Real-world radar signals are frequently corrupted by various artifacts, including sensor noise, echoes, interference, and intentional jamming, differing in type, severity, and dura…