Why are open standards important for interoperability and data preservation?

Oct 20, 2021 ... The focus of this chapter is a fast lossless data-compression mechanism that handles data streams completely. Apr 6, 2019 ... Software for more efficient lossless compression with deep LSTM and Transformer neural networks. Any of these projects, on its own, would be considered a ... We present a novel method for lossless data compression that aims to get a different performance to those proposed in the last decades to tackle the ... Arithmetic encoding (AE) is a lossless algorithm that uses a low number of bits to compress data. It's an entropy-based algorithm. This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. This paper provides the study of various lossless data compression techniques and compares their performance and efficiency using time and space complexity. ... lossless data compression.) [P3] E.-H. Yang and D.-K. He, “Method for lossless data compression using greedy se- quential context-dependent grammar ... Parallel Hardware/Software Architecture for the BWT and LZ77 Lossless Data Compression Algorithms. Virgilio Zuñiga Grajeda, Claudia Feregrino Uribe, Rene ... May 21, 2024 ... The following topics were dealt with: technologies and standards; technology drivers; lossless data compression; telemetry channel coding; ... This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data.