Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
When Global Positioning System (GPS) signals fail, drones can quickly lose their sense of place, especially in tunnels, dense ...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...
Abstract: Code smell represents critical design anomalies that significantly impact software maintainability and quality. This paper presents a comprehensive framework using Graph Convolutional ...
Jin Ye, Jingran Wang, Fengchao Xiong, Jun Zhou, and Yuntao Qian, ["Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising"] TGRS 2025 Abstract: Hyperspectral images (HSIs) play ...
Abstract: Acute appendicitis (AA) is one of the most prevalent surgical acute abdominal condition diseases. The recognition and segmentation of the inflamed appendix are important for AA diagnosis.
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