Results 31 to 40 of about 22,816,016 (339)

Compression of Vehicle Trajectories with a Variational Autoencoder

open access: yesApplied Sciences, 2020
The perception and prediction of the surrounding vehicles’ trajectories play a significant role in designing safe and optimal control strategies for connected and automated vehicles.
Olivér Rákos   +3 more
doaj   +1 more source

Compression of GNSS Data with the Aim of Speeding up Communication to Autonomous Vehicles

open access: yesRemote Sensing, 2023
Autonomous vehicles contain many sensors, enabling them to drive by themselves. Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with infrastructures (V2I) like satellites with diverse connections as well, to implement ...
Amnon Rakhmanov, Yair Wiseman
doaj   +1 more source

Digital Holography Data Compression

open access: yesTelfor Journal, 2019
Digital holography processing is a research topic related to the development of novel visual immersive applications. The huge amount of information conveyed by a digital hologram and the different properties of holographic data with respect to ...
R. Corda
doaj   +1 more source

Deep Learning-Based Super-Resolution Reconstruction and Algorithm Acceleration of Mars Hyperspectral CRISM Data

open access: yesRemote Sensing, 2022
In Mars exploration, hyper-spectrometry plays an important role due to its high spectral resolution. However, due to the technical difficulty and the data size, the spatial resolution or the coverage of hyperspectral data is often limited.
Mingbo Sun, Shengbo Chen
doaj   +1 more source

The relative efficiency of data compression by LZW and LZSS

open access: yesData Science Journal, 2007
We explore the use of the LZW and LZSS data compression methods. These methods or some versions of them are very common in use of compressing different types of data.
Yair Wiseman
doaj   +1 more source

DeepZip: Lossless Data Compression Using Recurrent Neural Networks [PDF]

open access: yesData Compression Conference, 2018
Sequential data is being generated at an unprecedented pace in various forms, including text and genomic data. This creates the need for efficient compression mechanisms to enable better storage, transmission and processing of such data.
Mohit Goyal   +3 more
semanticscholar   +1 more source

Sketch distance-based clustering of chromosomes for large genome database compression

open access: yesBMC Genomics, 2019
Background The rapid development of Next-Generation Sequencing technologies enables sequencing genomes with low cost. The dramatically increasing amount of sequencing data raised crucial needs for efficient compression algorithms.
Tao Tang   +4 more
doaj   +1 more source

Applications of Non-Uniquely Decodable Codes to Privacy-Preserving High-Entropy Data Representation

open access: yesAlgorithms, 2019
Non-uniquely-decodable (non-UD) codes can be defined as the codes that cannot be uniquely decoded without additional disambiguation information. These are mainly the class of non–prefix–free codes, where a code-word can be a prefix of other(s)
Muhammed Oğuzhan Külekci   +1 more
doaj   +1 more source

Generalized massive optimal data compression [PDF]

open access: yes, 2017
Data compression has become one of the cornerstones of modern astronomical data analysis, with the vast majority of analyses compressing large raw datasets down to a manageable number of informative summaries. In this paper we provide a general procedure
J. Alsing, B. Wandelt
semanticscholar   +1 more source

HitIct:Chinese corpus for the evaluation of lossless compression algorithms

open access: yesTongxin xuebao, 2009
HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of ...
CHANG Wei-ling1   +3 more
doaj   +2 more sources

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