Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure.

Sangaiah AK, Javadpour A, Pinto P, Chiroma H, Gabralla LA

DOI: 10.3390/s23177416
Published: 2023 Aug 25
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s23177416,
  title = {Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure.},
  author = {Sangaiah AK and Javadpour A and Pinto P and Chiroma H and Gabralla LA},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23177416},
  url = {https://doi.org/10.3390/s23177416}
}

RIS

TY  - JOUR
TI  - Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure.
AU  - Sangaiah AK
AU  - Javadpour A
AU  - Pinto P
AU  - Chiroma H
AU  - Gabralla LA
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23177416
UR  - https://doi.org/10.3390/s23177416
ER  -

APA

AK, S., A, J., P, P., H, C., & LA, G. (2023). Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23177416

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pubmed · retrieved 2026-11-10T07:49:26.706Z