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Data Compression Algorithms for Wireless Sensor Networks: A Review and Comparison
IEEE Access, 2021 Energy consumption has risen to be a bottleneck in wireless sensor networks. This is caused by the challenges faced by these networks due to their tiny sensor nodes that have limited memory storage, small battery capacity, limited processing capability ...
Keleadile Lucia Ketshabetswe +4 more
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Journal of King Saud University: Computer and Information Sciences, 2021 Explosive growth of data in digital world leads to the requirement of efficient technique to store and transmit data. Due to limited resources, data compression (DC) techniques are proposed to minimize the size of data being stored or communicated. As DC
Uthayakumar Jayasankar +2 more
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Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding [PDF]
Sensors, 2021 Video applications have become one of the major services in the engineering field, which are implemented by server–client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for ...
Shinichi Yamagiwa, Yuma Ichinomiya
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A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds [PDF]
SensorsIn the evolving landscape of autonomous driving technology, Light Detection and Ranging (LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental perception.
Ricardo Roriz +3 more
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Using the Data-Compression Method for Studying Hunting Behavior in Small Mammals [PDF]
Entropy, 2019 Using the data-compression method we revealed a similarity between hunting behaviors of the common shrew, which is insectivorous, and several rodent species with different types of diet. Seven rodent species studied displayed succinct, highly predictable
Zhanna Reznikova +7 more
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Arithmetic coding for data compression [PDF]
CACM, 1987 Ian H. Witten +2 more
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A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder [PDF]
SensorsThe compression method for wellbore trajectory data is crucial for monitoring wellbore stability. However, classical methods like methods based on Huffman coding, compressed sensing, and Differential Pulse Code Modulation (DPCM) suffer from low real-time
Shan Song +3 more
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An Introduction to Neural Data Compression [PDF]
Foundations and Trends in Computer Graphics and Vision, 2022 Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression algorithms to be ...
Yibo Yang, S. Mandt, Lucas Theis
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Biosignal Compression Toolbox for Digital Biomarker Discovery
Sensors, 2021 A critical challenge to using longitudinal wearable sensor biosignal data for healthcare applications and digital biomarker development is the exacerbation of the healthcare “data deluge,” leading to new data storage and organization challenges and costs.
Brinnae Bent +3 more
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Universal triple encoding for compression and protecting binary data
Безопасность информационных технологий, 2021 The paper is devoted to the actual problem of compression of processed and transmitted data, as well as of the data storage and protection. The analysis and features of data compression methods are presented.
Victor A. Shurygin, Igor M. Yadykin
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