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Research Article | Open Access |

RETRACTED: Computational Intelligence Algorithm Implemented in Indoor Environments based on Machine Learning for Lighting Control System

Author 1: Mohammad Ehsanul Alim Author 2: Md. Nazmus Sakib Bin Alam Author 3: Ihab Hassoun
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 2 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130208

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Abstract

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. Retraction DOI: 10.14569/IJACSA.2022.0130208.retraction

Keywords

Machine learning algorithms indoor lighting control system internet of things (IoT) ultra-wide band sensors lux sensors remote access facility

How to Cite this Article

Alim, M. E., Alam, M. N. S. B., & Hassoun, I. (2022). RETRACTED: Computational Intelligence Algorithm Implemented in Indoor Environments based on Machine Learning for Lighting Control System. International Journal of Advanced Computer Science and Applications, 13(2). https://doi.org/10.14569/IJACSA.2022.0130208

Alim, Mohammad Ehsanul, et al.. "RETRACTED: Computational Intelligence Algorithm Implemented in Indoor Environments based on Machine Learning for Lighting Control System." International Journal of Advanced Computer Science and Applications, vol. 13, no. 2, 2022, https://doi.org/10.14569/IJACSA.2022.0130208.

@article{Alim2022,
  title     = {RETRACTED: Computational Intelligence Algorithm Implemented in Indoor Environments based on Machine Learning for Lighting Control System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {2},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Mohammad Ehsanul Alim and Md. Nazmus Sakib Bin Alam and Ihab Hassoun},
  doi       = {10.14569/IJACSA.2022.0130208},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130208}
}

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