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Disambiguation of "Pham, Binh Thai"

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Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering.

, , , , , , , , and . J. Intell. Fuzzy Syst., 38 (4): 4287-4299 (2020)

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Thai Pham

Thai Binh Tran

Thai Binh Tran

Thai Lai Pham

Hoang-Pham Thai

 

Other publications of authors with the same name

Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam., , , and . Int. J. Digit. Earth, 9 (11): 1077-1097 (2016)Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering., , , , , , , , and . J. Intell. Fuzzy Syst., 38 (4): 4287-4299 (2020)Metaheuristic optimization of Levenberg-Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength., , and . Neural Comput. Appl., 33 (24): 17331-17351 (2021)A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China), , , , , , , and . Environmental Earth Sciences, (2017)Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides., , , , , , , , , and 2 other author(s). Int. J. Digit. Earth, 14 (5): 575-596 (2021)Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm., , , , , , , , , and 1 other author(s). Ecol. Informatics, (2021)A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping., , , , , , , , and . Eng. Appl. Artif. Intell., (2020)Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm., , , , and . Eng. Comput., 36 (2): 703-712 (2020)Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods., , , , and . Eng. Comput., 37 (4): 3455-3471 (2021)Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran., , , , and . Comput. Electron. Agric., (2019)