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… (VC) has become a significant aim for industrial applications and academia over
the years. … among the DL algorithms, particularly for timeseries problems. The
LSTM have the capability to … The depth maps are 2D depth value sequences in …

… Lossless compression maps the symbols in the sequence from a given source to
a more compact representation (eg, fewer bits in … Time-series databases are
designed and optimised for storing and serving timeseries data, usually structured or …

… tasks, are becoming increasingly popular in industrial production and daily life.
Due to the … lossless compression strategies to achieve higher compression ratios.
Let DDTLL denote the reconstructed data obtained through the downstream task …

… NFSS method, which has good characteristic of lossless compression, to realize
the accurate and large-scale real-time simulation of PV stations by proposing new
models and parallel framework. For this purpose, a real-time modeling method for …

… Another notable industry adapting FL is in finance, where models can be trained
without shared access to private information for credit risk … Authors of [16], also
aim for communication efficiency through lossless compression and quantisation …

… (3) cuSZ-i is the first to efficiently integrate the NVIDIA bitcomp as an additional
lossless compression module to enhance the compression ratio. The evaluation
shows that cuSZ-i significantly outperforms other state-ofthe-art GPU-based lossy …

… around 24 MB in size, probably a little less as many cameras apply some lossless
compression to the RAW files. However, once that is acquired into an image editor
as an RGB image, the file will be three times the size as the data is interpolated into …

… medium of communication replacing direct interaction with the health experts.
Although these platforms are a reliable mode of communication, the … High
capacity reversible data hiding in encrypted image based on intra‐block lossless …