… use of smart devices, industrial processes, IoT networks, and … is used to compress rencoded
in a lossless manner. For … by libbsc, a renowned library for lossless compression [14], as the …

… algorithms can be divided into two broad classes: lossless compression schemes, in which
… compression, which generally provide much better compression than lossless compression, …

… ratio similar to classical techniques, enabling direct access without decompression [40,62].
The k 2 -tree structure serves as a compact representation of the adjacency matrix for a …

… numerosity, effectively compressing the time-series data. … compression in the realm of
time series analysis. Our methodology is rooted in the idea that not all data points in a timeseries …

… for compressing the maritime safety information dataset and outperforms other benchmark
algorithms. Therefore, this study indicates that the proposed lossless compression … industries …

… that instrument data remains accessible and valuable for scientific and industrial purposes.
… metacompressor we designed that combines lossless compression of key regions of interest …

… Lossless compression: compressing the shuffled bytes with a … to treat the data as time
series and compress accordingly. One reason is that random access (access data from randomly …

… We conduct extensive experiments to show that the proposed functionally lossless
compression method achieves state-of-the-art performance in joint denoising and compression of …

… compression algorithms have been proposed, but to ensure accurate query results, our system
exclusively considers lossless compression … optimal compression method for time series …

… We therefore focus on lossless compression. A wide variety of … lossless time series
compressors are also available, such as Sprintz [21]. These algorithms offer good compression and …