Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
Abstract: This study proposes a novel long short-term memory based sequence-to-sequence autoencoder model to compress ECG signals. The efficiency of this new method is illustrated on MIT-BIH ...
This project implements a GPU-accelerated phylogenetic tree construction pipeline using MASH distance metrics and the neighbor joining algorithm. The implementation accelerates the computation of ...
Starting from v4.11.0, AstrBot introduced an automatic context compression feature. AstrBot automatically compresses the context when the conversation context reaches 82% of the maximum context window ...
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