Abstract
Smart cities require the integration of various data sources and the application of artificial intelligence (AI) to enhance decision-making, operations, and planning. However, the complexity of AI solutions often poses a barrier for non-experts. This paper proposes a user-friendly software architecture and AI-based solution that allows end-users to harness the power of AI without delving into its theoretical aspects. The solution features an AI-driven assistant, which helps users create interactive dashboards and visualizations by importing data from multiple heterogeneous sources, with a focus on the Internet of Things (IoT). The proposal is evaluated within the context of smart cities, and the results show a promising direction for future development.
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References
Bellini, P., Nesi, P., Pantaleo, G.: IoT-enabled smart cities: a review of concepts, frameworks and key technologies. Appl. Sci. 12(3), 1607 (2022)
Bokhari, S.A.A., Myeong, S.: Use of artificial intelligence in smart cities for smart decision-making: a social innovation perspective. Sustainability 14(2), 620 (2022)
Canizes, B., Pinto, T., Soares, J., Vale, Z., Chamoso, P., Santos, D.: Smart city: a GECAD-BISITE energy management case study. In: De la Prieta, F., et al. (eds.) PAAMS 2017. AISC, vol. 619, pp. 92–100. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-61578-3_9
Casado-Vara, R., Martin-del Rey, A., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Futur. Gener. Comput. Syst. 102, 965–977 (2020)
Casado-Vara, R., Prieto-Castrillo, F., Corchado, J.M.: A game theory approach for cooperative control to improve data quality and false data detection in WSN. Int. J. Robust Nonlinear Control 28(16), 5087–5102 (2018)
Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. 2018 (2018)
Chamoso, P., González-Briones, A., Rivas, A., De La Prieta, F., Corchado, J.M.: Social computing in currency exchange. Knowl. Inf. Syst. 61, 733–753 (2019)
Corchado, J.M., et al.: Deepintnet: a rapid deployment platform for smart territories. Sensors 21(1), 236 (2021)
Corchado, J.M., Pinto-Santos, F., Aghmou, O., Trabelsi, S.: Intelligent development of smart cities: Deepint.net case studies. In: Corchado, J.M., Trabelsi, S. (eds.) SSCTIC 2021. LNNS, vol. 253, pp. 211–225. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-78901-5_19
Dash, B., Sharma, P.: Role of artificial intelligence in smart cities for information gathering and dissemination (a review). Acad. J. Res. Sci. Publishing 4(39) (2022)
García-García, L., Jiménez, J.M., Abdullah, M.T.A., Lloret, J.: Wireless technologies for IoT in smart cities. Netw. Protoc. Algorithms 10(1), 23–64 (2018)
Garcia-Retuerta, D., Chamoso, P., Hernández, G., Guzmán, A.S.R., Yigitcanlar, T., Corchado, J.M.: An efficient management platform for developing smart cities: solution for real-time and future crowd detection. Electronics 10(7), 765 (2021)
González-Briones, A., Chamoso, P., de Alba, F.L., Corchado, J.M.: Smart Cities Energy Trading Platform Based on a Multi-agent Approach. Artificial Intelligence and Environmental Sustainability: Challenges and Solutions in the Era of Industry 4.0, pp. 131–146 (2022)
Martí, P., Jordán, J., Chamoso, P., Julian, V.: Taxi services and the carsharing alternative: a case study of Valencia city (2022)
Rivas, A., Fraile, J.M., Chamoso, P., González-Briones, A., Sittón, I., Corchado, J.M.: A predictive maintenance model using recurrent neural networks. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J.A., Quintián, H., Corchado, E. (eds.) SOCO 2019. AISC, vol. 950, pp. 261–270. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-20055-8_25
Shoeibi, N., Shoeibi, N., Julian, V., Ossowski, S., Arrieta, A.G., Chamoso, P.: Smart cyber victimization discovery on twitter. In: Corchado, J.M., Trabelsi, S. (eds.) SSCTIC 2021. LNNS, vol. 253, pp. 289–299. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-78901-5_25
Acknowledgments
This work has been partially supported by the Institute for Business Competitiveness of Castilla y León, and the European Regional Development Fund under grant CCTT3/20/SA/0002 (AIR-SCity project).
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Pinto-Santos, F., González-Ramos, J.A., López-Blanco, R., Curto, J. (2023). A New Software Platform to Provide AI-Based Services to Smart Cities. In: Novais, P., et al. Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence. ISAmI 2023. Lecture Notes in Networks and Systems, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-031-43461-7_9
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DOI: https://doi.org/10.1007/978-3-031-43461-7_9
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