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Uliasz-Misiak, B., Przybycin, A. (2016). Present and future status of the underground space use in Poland. Environmental earth sciences, 75-22.Search in Google Scholar
Wang, S., Zhang, X., Cao, J., et al.(2017). Computing urban traffic congestions by incorporating sparse GPS probe data and social media data. Acm Transactions on Information Systems, 35(4):40.Search in Google Scholar
Yin, R., Song, X. (2022). Mitigation strategy of cascading failures in urban traffic congestion based on complex networks. International Journal of Modern Physics C.Search in Google Scholar
Feng, X. (2016). Improve urban passenger transport management by rationally forecasting traffic congestion probability. International Journal of Production Research, 54(12), 3465-3474.Search in Google Scholar
Cao, Z., Jiang, S., Jie, Z., et al. (2017). A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. IEEE Transactions on Intelligent Transportation Systems, 18(7), 1958-1973.Search in Google Scholar
Li, Z., Pan, L., Xu, C., et al. (2017). Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks. IEEE Transactions on Intelligent Transportation Systems, 11, 1-14.Search in Google Scholar
Hou, W., Yang, L., Deng, D., et al. (2016). Assessing quality of urban underground spaces by coupling 3D geological models: The case study of Foshan city, South China. Computers & Geosciences, 89(Apr.), 1-11.Search in Google Scholar
Ganesha, A. V., Prakash, N., Prasanna, K. L. (2017). Geological investigation on the causes of collapse of irrigation tunnel. -a case study from Hulikere, Mandya district, Karnataka. Engineering Geology, XLII(1-2), 265-274.Search in Google Scholar
Wang, D. F., Xu, H. D., Wang, L., et al. (2020). Statistical analyses of the effect of a drainage tunnel on landslide hydrogeological characteristics. Hydrological Processes, 34(1).Search in Google Scholar
Bandini, A., Berry, P., Boldini, D. (2015). Tunnelling-induced landslides: The Val di Sambro tunnel case study. Engineering Geology, 196, 71-87.Search in Google Scholar
He, X., Zhou, X., Xu, Y., et al. (2020). Study on the Influence of Nonlinear Seepage and Grouting Reinforcement on Surrounding Rock in Subsea Tunnel. Journal of Coastal Research, 111(sp1).Search in Google Scholar
Baosong, Shu, Biao. (2015). Study of ground collapse induced by large-diameter horizontal directional drilling in a sand layer using numerical modeling. Canadian Geotechnical Journal.Search in Google Scholar
He, X., Zhou, X., Xu, Y., et al. (2020). Study on the Influence of Nonlinear Seepage and Grouting Reinforcement on Surrounding Rock in Subsea Tunnel. Journal of Coastal Research, 111(sp1).Search in Google Scholar
He, X., Zhou, X., Xu, Y., et al. (2020). Study on the Influence of Nonlinear Seepage and Grouting Reinforcement on Surrounding Rock in Subsea Tunnel. Journal of Coastal Research, 111(sp1).Search in Google Scholar
Alagna, V., Bagarello, V., Prima, S. D., et al. (2016). Testing infiltration run effects on the estimated water transmission properties of a sandy-loam soil. Geoderma, 267, 24-33.Search in Google Scholar
Fugang, X. U., Gao, J., Wang, J., et al. (2015). Formation mechanism and its countermeasures for cracks in rock- anchored beam during the construction process of underground caverns at the Houziyan Hydropower Station. Journal of Hydraulic Engineering.Search in Google Scholar
Butchibabu, B., Khan, P. K., Jha, P. C. (2018). Foundation evaluation of underground metro rail station using geophysical and geotechnical investigations. Engineering Geology, 248.Search in Google Scholar
Hu, Q., Gu, Y., Zeng, J., et al. (2019). Microwave irradiation reinforcement of weak muddy intercalation in slope[J]. Applied Clay Science, 183, 105324.Search in Google Scholar
Zhang, M. (2017). Application of BP neural network in acoustic wave measurement system. Modern Physics Letters B, 31(19-21), 1740052.Search in Google Scholar
Wang, W., Tang, R., Li, C., et al. (2018). A BP neural network model optimized by Mind Evolutionary Algorithm for predicting the ocean wave heights. Ocean Engineering, 162(aug.15), 98-107.Search in Google Scholar
Wang, S., Wu, T. H., Shao, T., et al. (2019). Integrated model of BP neural network and CNN algorithm for automatic wear debris classification. Wear, 426-427, 1761-1770.Search in Google Scholar
Zhao, H., Shi, S., Jiang, H., et al. (2017). Calibration of AOTF-based 3D measurement system using multiplane model based on phase fringe and BP neural network. Optics Express, 25(9), 10413.Search in Google Scholar
Liu, Y. K., Xie, F., Xie, C. L., et al. (2015). Prediction of time series of NPP operating parameters using dynamic model based on BP neural network. Annals of Nuclear Energy, 85, 566-575.Search in Google Scholar
Han, X. H., Xiong, X., Duan, F. (2015). A new method for image segmentation based on BP neural network and gravitational search algorithm enhanced by cat chaotic mapping. Applied Intelligence, 43(4), 855-873.Search in Google Scholar
Peng, K. X., Yang, J. B., Tuo, X. G., et al. (2016). Research on PGNAA adaptive analysis method with BP neural network. Modern Physics Letters B, 30(32n33), 1650386.Search in Google Scholar
Kovaevi, M. S., Bai, M., Gavin, K. (2020). Application of Neural Networks for the Reliability Design of a Tunnel in Karst Rock Mass. Canadian Geotechnical Journal, 1.Search in Google Scholar