# Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm
## 3 Research Method
### Exclusion Criteria
#### 3.2.2 Identification of Citing Studies
\begin{table}
\begin{tabular}{l l l l} \hline \hline
**Papers in Table 13** & **\#PCs** & **Reference to the Citing Paper** \\ \hline  & & [PERSON] [PERSON] et.al., \(\!\!\)Homomorphic Encryption for Privacy Preservation in Occupancy \\  & & Sensor-Based Smart Lighting, Inter-Conference on Data Science and Its Applications, \(\!\!\)KoDSA \\  & & 2024, 168–73, DOI: 10.1109/ICADe2899.2024.10651997 \\  & & [PERSON] et al., \(\!\!\)Camera-Based Smart Lighting System that complies with Indonesia’s Personal Data Protection Act, LCADe2023—Inter-Conference on Advancement in Data Science, \(\!\!\)E-Learning and Information Systems Data, Intelligent Systems, and the Applications for Human Life, Proceeding, DOI: 10.1109/ICADeIS8666.2023.10271086 \\  & & [PERSON] [PERSON] et.al., \(\!\!\)Machine Learning Methods in Smart Lighting Toward Achieving User \\  & & Comfort A Survey, \(\!\!\)(2022) IEEE Access, \(\!\!\)10, \(\!\!\)45137–45178, DOI: 10.1109/ACCCSS.2022.3169765 \\  & & [PERSON] [PERSON] et.al., \(\!\!\)Evaluation of Activity Recognition with Hierarchical Hidden Markov \\  & & Model and other Methods for Smart Lighting in Office Buildings, (2022) ICRC Express Letters, 16 (1), 91–100, DOI: 10.24507/icic.16.01.91 \\ \hline
[76] & 1 & [PERSON] [PERSON] et.al., \(\!\!\)Machine Learning Methods in Smart Lighting Toward Achieving User \\  & & Comfort A Survey, \(\!\!\)(2022) IEEE Access, \(\!\!\)10, \(\!\!\)45137–45178, DOI: 10.1109/ACCESS.2022.3169765 \\  & & [PERSON] et.al., \(\!\!\)Machine Learning Methods in Smart Lighting Toward Achieving User \\  & & Comfort A Survey, \(\!\!\)(2022) IEEE Access, \(\!\!\)10, \(\!\!\)45137–45178, DOI: 10.1109/ACCESS.2022.3169765 \\  & & [PERSON] [PERSON] et al., \(\!\!\)Adaptive museum lighting using CNN-based image segmentation, (2023) Building and \\  & & Building and Environment, \(\!\!\) 2024, DOI: 10.1106/j.buildrel.2023.110525 \\  & & [PERSON] [PERSON] et al., \(\!\!\)Smooth output from adaptive illumination systems with pixelated LED arrays, \(\!\!\)(2023) Proceedings of SPIE—Inter. Society for Optical Engineering, 12/765, DOI: 10.1117/12.268896 \\
[89] & 6 & [PERSON] [PERSON] et al., \(\!\!\)Controlling the target pattern of projected LED arrays for smart lighting, (2023) Optics Express, 32 (23), \(\!\!\)3735/324, DOI: 10.1346/C.504077 \\  & & [PERSON] et al., \(\!\!\)A novel study on IoT and Machine Learning-based Transportation, (2024) Machine Learning Techniques and Industry Applications, 1–28, DOI: 10.4018/79-369357-2571.0/ch0000043 \\  & & [PERSON] et al., \(\!\!\)A Review of Analysis of IoT Enabled Smart Transportation Using \\  & & Machine Learning Techniques, (2024) Inter. Journal of Transport Development and Integration, \\  & & 8 (1), 61-77, DOI: 10.1882/9 id.081060 \\ \hline  & & [PERSON] [PERSON] et.al., \(\!\!\)Homomorphic Encryption for Privacy Preservation in Occupancy \\  & & Sensor-Based Smart Lighting, Inter-Conference on Data Science and Its Applications, \(\!\!\)KoDSA \\  & & 2024, 168–73, DOI: 10.1109/ICADe2899.2024.10651987 \\  & & [PERSON] [PERSON] et.al., \(\!\!\)NearCount for Model Compression on Edge Computing-Based Smart Lighting with Product-of-Sum Function, Interference on Smart Computing, IoT and Machine Learning, SIM, 2024, 13–18, DOI: 10.1109/SIML.15152.0241.0758110 \\  & & [PERSON] [PERSON] et al., \(\!\!\)QksNN: A Novel 8-Bit KNN Quantization Method for Edge Computing in Smart Lighting-Streams with NodeMCU, (2024) LNNS, \(\!\!\)98–415, DOI: 10.1007/978-3031-47175.41 \\  & & [PERSON] [PERSON] et.al., \(\!\!\)STAR: Random-Rectifing Technology Acceptance Model to Measure User Comfort in Smart Lighting with Exploratory Factor Analysis, 3 rd Interference on Intelligent Cybernetics and Applications, ICICyTA 2023, 414–419. DOI: 10.1109/ICICyTA6013.2023.1028828 \\
[77] & 8 & [PERSON] [PERSON] et.al., \(\!\!\)Synthetic Data with Nested Markov Chain for CIMA-Based Smart Lighting Control Deployment Simulation, 11 th Inter. Conference on Information and Communication Technology, ICICIC'2023, August, 148–153, DOI: 10.1109/ICICST8022.2023.10320430 \\  & [PERSON] et al., \(\!\!\)Office Room Smart Lighting Control with Camera and SSD MobileNet Object Localization, \(\!\!\)ICACNICS 2022—Interference on Advanced Creative Networks and Intelligent Systems: Blockchain Technology, Intelligent Systems, and the Applications for Human Life, Proceeding, DOI: 10.1109/ICACNICS97039.2022.10055274 \\  & & [PERSON] [PERSON] et.al., \(\!\!\)Recurrent Neural Network Architectures Comparison in Time-Series Binary Classification on IoT-Based Smart Lighting Control \\  & & [PERSON] [PERSON] et.al., \(\!\!\)Machine Learning Methods in Smart Lighting Toward Achieving User \\  & & Comfort A Survey, (2022) IEEE Access, \(\!\!\)10, \(\!\!\)45137–45178, DOI: 10.1109/ACCESS.2022.3169765 \\ \hline \hline \end{tabular}
\end{table}