Funder
National Foundation for Science and Technology Development
Reference118 articles.
1. A novel hybrid approach of bayesian logistic regression and its ensembles for landslide susceptibility assessment;Abedini;Geocarto Int.,2019
2. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?;Achour;Geosci. Front.,2019
3. Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran;Aghdam;Environ. Earth Sci.,2017
4. Armaghani, D.J., et al., 2020. On the use of neuro-swarm system to forecast the pile settlement. 10, 1904.
5. Asteris, P.G., Apostolopoulou, M., Skentou, A.D., Moropoulou, A.J.C., Concrete, 2019a. Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars. 24, 329–345.
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