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A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data.

P. Ngo, N. Hoang, B. Pradhan, Q. Nguyen, X. Tran, Q. Nguyen, V. Nguyen, P. Samui, and D. Bui. Sensors, 18 (11): 3704 (2018)

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Liquefaction susceptibility using machine learning based on SPT data.D. Kumar, P. Samui, A. Burman, W. Wipulanusat, and S. Keawsawasvong. Intell. Syst. Appl., (November 2023)Predicting stable alluvial channel profiles using emotional artificial neural networks.A. Gholami, H. Bonakdari, P. Samui, M. Mohammadian, and B. Gharabaghi. Appl. Soft Comput., (2019)Relevance Vector Machine Classifier Analysis of Slope.P. Samui, and S. Das. IICAI, page 917-925. IICAI, (2007)ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions.A. Bardhan, P. Samui, K. Ghosh, A. Gandomi, and S. Bhattacharyya. Appl. Soft Comput., (2021)Site Characterization Model Using Support Vector Machine and Ordinary Kriging.P. Samui, and S. Das. J. Intell. Syst., 20 (3): 261-278 (2011)Reliability Analysis of Circular Footing by Using GP and MPMR.R. Kumar, P. Samui, S. Kumari, and Y. Dalkiliç. Int. J. Appl. Metaheuristic Comput., 12 (1): 1-19 (2021)Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS.R. Kumar, P. Samui, S. Kumari, and S. Roy. Int. J. Adv. Intell. Paradigms, 18 (3): 316-336 (2021)A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil.N. Kardani, A. Bardhan, P. Samui, M. Nazem, A. Zhou, and D. Armaghani. Eng. Comput., 38 (4): 3321-3340 (2022)Site Characterization Using GP, MARS and GPR.P. Samui, Y. Dalkiliç, and J. Jagan. Handbook of Genetic Programming Applications, Springer, (2015)Application of Soft Computing Techniques to Expansive Soil Characterization.P. Samui, S. Das, and T. Sitharam. Intelligent and Soft Computing in Infrastructure Systems Engineering, volume 259 of Studies in Computational Intelligence, Springer, (2009)

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