Application of Multi-Data Fusion Technology in Intelligent Design of Urban Environment

[1] Liu, Q. (2020). Intelligent environmental monitoring system based on multi-sensor data technology. International Journal of Ambient Computing and Intelligence (IJACI), 11. Search in Google Scholar

[2] Liu, Q. (2021). Intelligent water quality monitoring system based on multi-sensor data fusion technology. International Journal of Ambient Computing and Intelligence (IJACI), 12. Search in Google Scholar

[3] Razzaq, Muhammad, Asif, Cleland, Ian, & Nugent, et al. (2018). Multimodal sensor data fusion for activity recognition using filtered classifier. Proceedings. Search in Google Scholar

[4] Zhang, F., Yang, J., Sun, C., Guo, X., & Wan, T. (2021). Research on multi-source heterogeneous data fusion technology of new energy vehicles under the new four modernizations. Journal of Physics: Conference Series, 1865(2), 022034-. Search in Google Scholar

[5] Diao, L. W., & Wang, X. X. (2018). Consensus multisensor data fusion algorithm based on dynamic hierarchical clustering analysis. DEStech Transactions on Engineering and Technology Research(ecar). Search in Google Scholar

[6] Shi, F., & Hu, X. (2022). Fuzzy dynamic obstacle avoidance algorithm for basketball robot based on multi-sensor data fusion technology. International Journal of Foundations of Computer Science, 33(06n07), 649-666. Search in Google Scholar

[7] Akbari, H., & Rose, L. S. (2019). Characterizing the fabric of the urban environment: a case study of metropolitan chicago, illinois and executive summary. Lawrence Berkeley National Laboratory. Search in Google Scholar

[8] Sun, H., & Yang, Y. (2021). Application of computer technology in the visualized landscape design of modern urban garden environment. Journal of Physics: Conference Series, 1992(3), 032060-. Search in Google Scholar

[9] Arslan, G., Gultekin, A. B., Kivrak, S., & Yildiz, S. (2020). Built environment design - social sustainability relation in urban renewal. Sustainable Cities and Society, 60, 102173. Search in Google Scholar

[10] Alessio, L. (2020). Public open space design in tokyo urban environment: a historical overview. Territorio(91), 138-147. Search in Google Scholar

[11] Paula, Cullen, Pierre, Dupraz, James, & Moran, et al. (2018). Agri-environment scheme design: past lessons and future suggestions. Eurochoices. Search in Google Scholar

[12] Renata Jówik, & Anna Jówik. (2021). Influence of environmental factors on urban and architectural design—example of a former paper mill in nanterre. Sustainability, 14. Search in Google Scholar

[13] Guan, W. (2020). Application of multi-channel communication technology in wireless sensor networks. IOP Conference Series: Materials Science and Engineering, 740(1), 012206 (6pp). Search in Google Scholar

[14] Villareal, M. K., & Tongco, A. F. (2019). Multi-sensor fusion workflow for accurate classification and mapping of sugarcane crops. Engineering, Technology and Applied Science Research, 9(3), 4085-4091. Search in Google Scholar

[15] Dumitrascu, A., Nica, R., & Corduban, C. (2012). Ecological structures with hyperbolic geometries in public spaces. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture, 56-63. Search in Google Scholar

[16] Ukpanyang, D., & Terrados-Cepeda, J. (2022). Decarbonizing vehicle transportation with hydrogen from biomass gasification: an assessment in the nigerian urban environment. Energies, 15. Search in Google Scholar

[17] Jing, Z. (2023). Construction and application of piano to intelligent teaching system based on multi-source data fusion. Journal of Circuits, Systems and Computers, 32(04). Search in Google Scholar

[18] Haibo, W., Junhui, L., He, L., Yue, L., & Yue, Z. (2018). Application of seismic multi attribute fusion technology in reservoir rediction of baer depression. Iop Conference, 381, 012003-. Search in Google Scholar

[19] Hei, A., Paraforos, D. S., Sharipov, G. M., & Griepentrog, H. W. (2022). Real-time control for multi-parametric data fusion and dynamic offset optimization in sensor-based variable rate nitrogen application. Computers and Electronics in Agriculture, 196, 106893-. Search in Google Scholar

[20] He, P., Dong, Y., Yan, Y., Li, J., & Lu, Z. (2021). Research on monitoring system of transmission tower operation state based on multi-sensor data fusion. Journal of Physics: Conference Series, 2143(1), 012014-. Search in Google Scholar