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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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Interactive Compression of Digital Data [PDF]
Algorithms, 2010 If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression.
Bruno Carpentieri
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Digital Holography Data Compression [PDF]
Telfor 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
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Data compression with factor automata
[1991] Proceedings. Data Compression Conference, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marc Zipstein
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Data Compression for Climate Data [PDF]
Supercomputing Frontiers and Innovations, 2016 The different rates of increase for computational power and storage capabilities of supercomputers turn data storage into a technical and economical problem.
Michael Kuhn, J. Kunkel, T. Ludwig
semanticscholar +3 more sources
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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Compressed kNN: K-Nearest Neighbors with Data Compression. [PDF]
Entropy (Basel), 2019 The kNN (k-nearest neighbors) classification algorithm is one of the most widely used non-parametric classification methods, however it is limited due to memory consumption related to the size of the dataset, which makes them impractical to apply to large volumes of data. Variations of this method have been proposed, such as condensed KNN which divides
Salvador-Meneses J +2 more
europepmc +7 more sources
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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