Study on data compression algorithm and its implementation in portable electronic device for Internet of Things applications-Reference-Cited by-同舟云学术

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Study on data compression algorithm and its implementation in portable electronic device for Internet of Things applications

Published:2017 Issue: Volume:162 Page:01073
ISSN:2100-014X
Container-title:EPJ Web of Conferences
language:
Short-container-title:EPJ Web Conf.

Author:

Khairi Nor Asilah,Bahari Jambek Asral

Publisher

EDP Sciences

Link

http://www.epj-conferences.org/10.1051/epjconf/201716201073/pdf

Reference10 articles.

1. Srivastava P. and Garg N., 2015 International Conference on Computing, Communication & Automation (ICCCA), pp. 720–723 (2015)

2. Wang Z., Bie R., and Zhou M., 2012 IEEE 11th International Conference on Privacy in Computing and Communications (TrustCom), pp. 1799–1804 (2012)

3. Collier S.E., 2015 IEEE Rural Electric Power Conference (REPC), pp. 65–68 (2015)

4. Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders

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1. Comparative Study of Data Compression Algorithms: Zstandard, zlib & LZ4;Communications in Computer and Information Science;2024

2. Compressed sensing - a way to spare energy in WSN for UAV;IFAC-PapersOnLine;2022

3. Challenges in collecting and transmitting data from resource-constrained IoT devices;17TH INTERNATIONAL CONFERENCE ON CONCENTRATOR PHOTOVOLTAIC SYSTEMS (CPV-17);2022

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