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Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms., , , , and . IEEE Access, (2019)Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms., , , , , and . Int. J. Distributed Sens. Networks, (2016)An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications., , , , and . J. Cloud Comput., 10 (1): 32 (2021)An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms., , , , and . Sensors, 17 (6): 1318 (2017)A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation., , , and . Inf. Fusion, (2023)An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism., , , , and . J. Sensors, (2017)TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks., , , and . SoftwareX, (May 2023)Citizen security using machine learning algorithms through open data., , , , and . LATINCOM, page 1-6. IEEE, (2016)An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study., , , , and . Comput. J., 66 (1): 47-60 (January 2023)BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (1): 171-175 (January 2024)