Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning

Telemetric information is great in size, requiring extra room and transmission time. There is a significant obstruction of storing or sending telemetric information. Lossless data compression (LDC) algorithms have evolved to process telemetric data effectively and efficiently with a high compression...

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Vydané v:	Computational Intelligence and Neuroscience Ročník 2022; s. 1 - 10
Hlavní autori:	Ramalingam, Parameshwaran, Mehbodniya, Abolfazl, Webber, Julian L., Shabaz, Mohammad, Gopalakrishnan, Lakshminarayanan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Hindawi 10.01.2022 Hindawi Limited John Wiley & Sons, Inc
Predmet:	Algorithms Analysis Clustering Compression Compression ratio Data Compression Data processing Data transmission Deep Learning Energy efficiency Ground stations Information processing Lossless equipment Machine learning Neural networks Neural Networks, Computer Preprocessing Recurrent neural networks Research Article Sensors Telemetry
ISSN:	1687-5265, 1687-5273, 1687-5273
On-line prístup:	Získať plný text
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