# 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} \hline \hline
**Citing Papers** & **\# of Repetitions** \\ \hline [PERSON] et al., Recurrent Neural Network Architectures Comparison in Time-Series Binary & \\ Classification of IoT-Based Smart Lighting Protocol, 10 th Inter. Conference on Information and Communication Technology, ICIC'12 22, 391–396. DOI: 10.1109/ICIC'150902022.9914831 & 2 \\ \hline [PERSON] et al., Office Room Smart Lighting Control with Camera and SSD MobileNet Object Localization, ICACNS 2022—Inter. Conference on Advanced Creative Networks and Intelligent Systems: Blockchain Technology, Intelligent Systems, and the Applications for Human Life, Proceeding, DOI: 10.1109/ICACNS'03.2022.1005274 & 2 \\ \hline [PERSON] et al., Systematic Review of Extended Reality for Smart Built Environments Lighting Design Simulations, (2024) IEEE Access, 12, 17058-17089. DOI: 10.1109/ACCESS.2024.3359167 & 1 \\ \hline [PERSON] [PERSON] et al., A Comprehensive Exploration of Smart Lighting Aspects: Area of Use, Methodologies and Purposes, IEEE Industry Applications Society Annual Meeting, LAS'203. DOI: 10.1109/IAS'4024.2025.104674 & 2 \\ \hline [PERSON] [PERSON] et al., Smart Dimmable LED Lighting Systems, (2022) Sensors, 22 (21), DOI: 10.3390/s22218523 & 1 \\ \hline [PERSON] et al., Camera-Based Smart Lighting System that compiles with Indonesia’s Personal Data Protection Act, ICADES 2023-Inter. Conference on Advancement in Data Science, E-Learning and Information Systems, Italian Intelligent Systems, and the Applications for Human Life, Proceeding, DOI: 10.1109/ICADES'8666.2023.10271086 & 2 \\ \hline [PERSON], [PERSON] et al., EdgeS: Edge-Computing Architecture on Smart Lighting Control with Distilled KNN for Optimum Processing Time, (2023) IEEE Access, 11, 64697-64712. DOI: 10.1109/ACCESS.2023.3288425 & 2 \\ \hline [PERSON] [PERSON] et al., Q8 KN-A Novel I-Bit KNN Quantization Method for Edge Computing in Smart Lighting Systems with NodeMCU, (2024) 824 LNNS, 598-615. DOI: 10.1007/978-031-47715-741 & 2 \\ \hline [PERSON], [PERSON] et al., CIMA: A Novel Classification-Integrated Moving Average Model for Smart Lighting Intelligent Control Based on Human Presence, Complexity, 2022. DOI: 10.1155/2022/4899344 & 1 \\ \hline [PERSON] [PERSON] et al., Homomorphic Encryption for Privacy Preservation in Occupancy Sensor-Based Smart Lighting, Inter. Conference on Data Science and Its Applications, ICDoSA 2024, 168-173. DOI: 10.1109/ICDoSA62899.2024.10651987 & 2 \\ \hline [PERSON], [PERSON] et al., SLTAM: Remodeling Technology Acceptance Model to Measure User Comfort in Smart Lighting with Exploratory Factor Analysis, 3 rd Inter. Conference on Intelligent Cybernetics and Applications, ICIC'12 2023, 414-419. DOI: 10.1109/ICICYIA60173.2023.10428882 & 1 \\ \hline [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, IoCICT 2023, August, 148-153. DOI: 10.1109/ICICST'8022.2023.1026430 & 2 \\ \hline [PERSON] et al., The Smart Lighting System in the Coworking Space’s Meeting Room, 4 th Inter. Conference on Informatics, Multimedia, Cyber and Information System, ICIMCS 2022, 534-538. DOI: 10.1109/ICIMCS'865603.022.2021.001780 & 1 \\ \hline [PERSON] et al., Quality Metrics, Personality Traits, and Subjective Evaluation of Indoor Environment Images, (2022) Buildings, 12 (12), DOI: 10.3390/buildings12122086 & 1 \\ \hline [PERSON] et al., Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies, (2024) Journal of Low Power Electronics and Applications, 14 (1). DOI: 10.3390/jpjean4d010006 & 1 \\ \hline [PERSON] et al., Intelligent Personalized Lighting Control System for Residents, (2023) Sustainability & 1 \\ \hline [PERSON] et al., A Review and Analysis of IoT Enabled Smart Transportation Using Machine Learning Techniques, (2024) International Journal of Transport Development and Integration, 8 (1), 61–77. & 1 \\ \hline DoI: 10.18280/idiid.080106 & \\ \hline [PERSON] [PERSON] et al., Building Automation with Vision Transformer Using Synthetic Indoor Images for Room Light Control, 28724--16 th Inter. Conference on Knowledge and Smart Technology, 40–44. DOI: 10.1109/KST61284.2024.10499683 & 1 \\ \hline [PERSON] et al., Data-Driven End-to-End Lighting Automation Based on Human Residential Trajectory Analysis, Inter. Conference on Smart Applications, Communications and Networking, SmartNets 2024 & 1 \\ \hline [PERSON] et al., A novel study on IoT and Machine Learning-based transportation, (2024) Machine Learning Techniques and Industry Applications, 1–28, DOI: 10.4018/979-8-3693-5271-7.ch001 & 1 \\ \hline [PERSON] et al., An overview on smart buildings, (2022) Encyclopedia of Electrical and Electronic Power Engineering: Volumes 1–3, ZV-24-31-V2-440. DOI: 10.1016/B978-0-12-821204-2.00066-0 & 1 \\ \hline [PERSON] et al., An Evaluation of Activity Recognition with Hierarchical Hidden Markov Model and Other Methods for Smart Lighting In Office Buildings, (2022) ICIC Express Letters, 16 (1), 91–100, DOI: 10.24507/icicel.16.01.91 & 1 \\ \hline [PERSON] et al., Naer.Count for Model Compression on Edge Computing-Based Smart Lighting with Products-of-Sum Function, Inter Conference on Smart Computing, IoT and Machine Learning, SIML 2024, 13–18. DOI: 10.1109/SIML61815.2024.10578110 & 1 \\ \hline [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 & 5 \\ \hline \hline \end{tabular}
\end{table}