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 ...

Abstract: In image segmentation by deep learning, encoder-decoder Convolutional Neural Network (CNN) architectures are fundamental for creating and learning representations. However, with many filters ...

According to the results we obtained, we can state that although the Huffman method fully performs the lossless compression task, quality measurements decrease depending on the synthetic images ...

This page contains a concise overview of the Mathematics BA and BS degree programs, along with links to UB application information, financial aid, the CAS form to change major/minor, plus program ...

An MCP server that generates diagrams from Mermaid code in multiple formats (SVG, PNG, PDF). This server enables AI assistants and other MCP clients to create diagrams using the Mermaid diagram syntax ...

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...

We adopt the codebase of CLAP for this project. An audio effects representation learning based on SimCLR. from fxencoder_plusplus import load_model # Load default base model (auto-downloads if needed) ...