158 results on '"Janizadeh, Saeid"'
Search Results
2. Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii
3. Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models
4. Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
5. Evaluating different machine learning algorithms for snow water equivalent prediction
6. Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm
7. Riverine flood potential assessment at municipal level in Slovakia
8. Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors
9. Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm
10. Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches
11. Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling
12. Floodplain Mapping Using HEC-RAS and ArcGIS
13. Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility
14. Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
15. Impact of Climate Change on Future Flood Susceptibility: an Evaluation Based on Deep Learning Algorithms and GCM Model
16. Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
17. Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models
18. Application of artificial neural network and adaptive neuro-fuzzy inference system in streamflow forecasting
19. Contributors
20. Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping
21. Flood hydrograph modeling using artificial neural network and adaptive neuro-fuzzy inference system based on rainfall components
22. Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility
23. Landslide Susceptibility Survey Using Modeling Methods
24. List of Contributors
25. Riverine flood potential assessment using metaheuristic hybrid machine learning algorithms
26. Machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis
27. Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran
28. Evaluation of climate change impacts on future gully erosion using deep learning and soft computational approaches
29. Application of novel deep boosting framework-based earthquake induced landslide hazards prediction approach in Sikkim Himalaya
30. Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility:predict head-cut gully erosion susceptibility
31. Current and future projections of flood risk dynamics under seasonal precipitation regimes in the Hyrcanian Forest region
32. Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches
33. Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling
34. Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes
35. Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios
36. Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling.
37. Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes.
38. Current and future projections of flood risk dynamics under seasonal precipitation regimes in the Hyrcanian Forest region.
39. Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential.
40. Novel Bayesian Additive Regression Tree methodology for flood susceptibility modeling
41. Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
42. Precipitación y producción de agua en el macizo del caroig, este de la península ibérica. Evento de escorrentía a escala de parcela durante una crecida torrencial en el barranco de benacancil
43. Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region.
44. Rainfall and water yield in Macizo del Caroig, Eastern Iberian Peninsula. Event runoff at plot scale during a rare flash flood at the Barranco de Benacancil
45. Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
46. Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
47. Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins.
48. Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region
49. Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areas
50. Geomatics, Natural Hazards and Risk / Flood susceptibility mapping using an improved analytic network process with statistical models
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