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Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems.

Sensors (Basel, Switzerland)

Macho JB, Montón LG, Rodriguez RC.
PMID: 28763013
Sensors (Basel). 2017 Aug 01;17(8). doi: 10.3390/s17081755.

The Cyber Physical Systems (CPS) paradigm is based on the deployment of interconnected heterogeneous devices and systems, so interoperability is at the heart of any CPS architecture design. In this sense, the adoption of standard and generic data formats...

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Macho JB, Montón LG, Rodriguez RC. Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems. Sensors (Basel). 2017;17(8)doi: 10.3390/s17081755.
Macho, J. B., Montón, L. G., & Rodriguez, R. C. (2017). Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems. Sensors (Basel, Switzerland), 17(8), . https://doi.org/10.3390/s17081755
Macho, Jorge Berzosa, et al. "Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems." Sensors (Basel, Switzerland) vol. 17,8 (2017). doi: https://doi.org/10.3390/s17081755
Macho JB, Montón LG, Rodriguez RC. Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems. Sensors (Basel). 2017 Aug 01;17(8). doi: 10.3390/s17081755. PMID: 28763013; PMCID: PMC5579536.
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