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Novel Ensemble Models Based on the Split‐Point Sampling and Node Attribute Subsampling Classifier for Groundwater Potential Mapping.
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- Earth & Space Science, 2024, v. 11, n. 6, p. 1, doi. 10.1029/2023EA003338
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Do institutions advocate tax simplification? Insights from a panel of 88 countries.
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- Economic Change & Restructuring, 2024, v. 57, n. 3, p. 1, doi. 10.1007/s10644-024-09709-7
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- Article
Novel hybrid computational intelligence approaches for predicting daily solar radiation.
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- Acta Geophysica, 2024, v. 72, n. 2, p. 1439, doi. 10.1007/s11600-023-01146-w
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- Article
Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2024, v. 49, n. 4, p. 5505, doi. 10.1007/s13369-023-08474-5
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- Article
Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models.
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- Earth Science Informatics, 2024, v. 17, n. 1, p. 401, doi. 10.1007/s12145-023-01182-6
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- Article
Flood hazard potential evaluation using decision tree state‐of‐the‐art models.
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- Risk Analysis: An International Journal, 2024, v. 44, n. 2, p. 439, doi. 10.1111/risa.14179
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- Article
Exploring the impact of public investment on income, energy consumption, and CO2 emissions in ASEAN: new insights from a panel cointegration approach.
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- Environmental Science & Pollution Research, 2024, v. 31, n. 4, p. 6301, doi. 10.1007/s11356-023-31588-0
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- Article
Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models.
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- Applied Water Science, 2024, v. 14, n. 1, p. 1, doi. 10.1007/s13201-023-02049-3
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- Article
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 12, p. 4641, doi. 10.1007/s00477-023-02521-1
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Prediction of Interface Shear Stiffness Modulus of Asphalt Pavement using Bagging Ensemble-based Hybrid Machine Learning Model.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2023, v. 48, n. 10, p. 13889, doi. 10.1007/s13369-023-08014-1
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- Article
Ensemble models based on radial basis function network for landslide susceptibility mapping.
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- Environmental Science & Pollution Research, 2023, v. 30, n. 44, p. 99380, doi. 10.1007/s11356-023-29378-9
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- Article
Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process.
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- Risk Analysis: An International Journal, 2023, v. 43, n. 7, p. 1478, doi. 10.1111/risa.14018
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- Article
Fiscal deficits and the socioeconomic consequences of rebalancing: Insights from a TVP‐VAR with stochastic volatility.
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- Australian Economic Papers, 2023, v. 62, n. 2, p. 214, doi. 10.1111/1467-8454.12286
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- Article
Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam.
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- CMES-Computer Modeling in Engineering & Sciences, 2023, v. 135, n. 3, p. 2219, doi. 10.32604/cmes.2023.022566
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- Article
Estimation of Seepage Flow Using Optimized Artificial Intelligent Models.
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- Geotechnical & Geological Engineering, 2023, v. 41, n. 4, p. 2727, doi. 10.1007/s10706-023-02423-7
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- Article
Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system.
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- Frontiers of Structural & Civil Engineering, 2023, v. 17, n. 5, p. 812, doi. 10.1007/s11709-023-0940-7
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- Article
Multiplex RT Real-Time PCR Based on Target Failure to Detect and Identify Different Variants of SARS-CoV-2: A Feasible Method That Can Be Applied in Clinical Laboratories.
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- Diagnostics (2075-4418), 2023, v. 13, n. 8, p. 1364, doi. 10.3390/diagnostics13081364
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- Article
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning.
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- Earth Science Informatics, 2023, v. 16, n. 1, p. 131, doi. 10.1007/s12145-022-00925-1
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A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam.
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- Environment, Development & Sustainability, 2023, v. 25, n. 2, p. 1101, doi. 10.1007/s10668-021-02041-4
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- Article
Novel approach for soil classification using machine learning methods.
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- Bulletin of Engineering Geology & the Environment, 2022, v. 81, n. 11, p. 1, doi. 10.1007/s10064-022-02967-7
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- Article
New Machine Learning Ensemble for Flood Susceptibility Estimation.
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- Water Resources Management, 2022, v. 36, n. 12, p. 4765, doi. 10.1007/s11269-022-03276-0
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- Article
A hybrid machine learning model to estimate self-compacting concrete compressive strength.
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- Frontiers of Structural & Civil Engineering, 2022, v. 16, n. 8, p. 990, doi. 10.1007/s11709-022-0864-7
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- Article
Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test.
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- Frontiers of Structural & Civil Engineering, 2022, v. 16, n. 8, p. 1003, doi. 10.1007/s11709-022-0846-9
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- Article
Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam.
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- CMES-Computer Modeling in Engineering & Sciences, 2022, v. 131, n. 3, p. 1431, doi. 10.32604/cmes.2022.018699
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Being an emerging economy: To what extent do geopolitical risks hamper technology and FDI inflows?
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- Economic Analysis & Policy, 2022, v. 74, p. 728, doi. 10.1016/j.eap.2022.04.005
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- Article
Cas9-mediated maternal effect and derived resistance alleles in a gene-drive strain of the African malaria vector mosquito, Anopheles gambiae.
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- Genetics, 2022, v. 221, n. 2, p. 1, doi. 10.1093/genetics/iyac055
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- Article
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system.
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- Neural Computing & Applications, 2022, v. 34, n. 10, p. 7835, doi. 10.1007/s00521-022-06891-5
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- Article
Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India.
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- Advances in Civil Engineering, 2022, p. 1, doi. 10.1155/2022/6645007
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Hybrid Model: Teaching Learning-Based Optimization of Artificial Neural Network (TLBO-ANN) for the Prediction of Soil Permeability Coefficient.
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- Mathematical Problems in Engineering, 2022, p. 1, doi. 10.1155/2022/8938836
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Cross-country connectedness in inflation and unemployment: measurement and macroeconomic consequences.
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- Empirical Economics, 2022, v. 62, n. 3, p. 1123, doi. 10.1007/s00181-021-02052-0
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The implications of public expenditures on a small economy in transition: a Bayesian DSGE approach.
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- Economic Change & Restructuring, 2022, v. 55, n. 1, p. 401, doi. 10.1007/s10644-021-09319-7
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- Article
Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling with Relief algorithm.
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- Frontiers of Structural & Civil Engineering, 2022, v. 16, n. 2, p. 224, doi. 10.1007/s11709-022-0812-6
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- Article
Investigation on factors affecting early strength of high-performance concrete by Gaussian Process Regression.
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- PLoS ONE, 2022, v. 17, n. 1, p. 1, doi. 10.1371/journal.pone.0262930
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Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength.
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- Neural Computing & Applications, 2021, v. 33, n. 24, p. 17331, doi. 10.1007/s00521-021-06321-y
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- Article
A Comparative Study of Soft Computing Models for Prediction of Permeability Coefficient of Soil.
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- Mathematical Problems in Engineering, 2021, p. 1, doi. 10.1155/2021/7631493
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- Article
A Comparative Study of Soft Computing Models for Prediction of Permeability Coefficient of Soil.
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- Mathematical Problems in Engineering, 2021, p. 1, doi. 10.1155/2021/7631493
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- Article
On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils.
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- Materials (1996-1944), 2021, v. 14, n. 21, p. 6516, doi. 10.3390/ma14216516
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- Article
A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient.
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- Scientific Programming, 2021, p. 1, doi. 10.1155/2021/3625289
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- Article
Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis.
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- Environmental Earth Sciences, 2021, v. 80, n. 20, p. 1, doi. 10.1007/s12665-021-09998-5
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- Article
Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models.
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- Natural Hazards, 2021, v. 109, n. 1, p. 1247, doi. 10.1007/s11069-021-04877-5
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- Article
Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping.
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- Water Resources Management, 2021, v. 35, n. 13, p. 4415, doi. 10.1007/s11269-021-02957-6
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- Article
Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam.
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- Natural Hazards, 2021, v. 108, n. 3, p. 3229, doi. 10.1007/s11069-021-04821-7
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- Article
Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods.
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- Ground Water, 2021, v. 59, n. 5, p. 745, doi. 10.1111/gwat.13094
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- Article
Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam.
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- Natural Hazards, 2021, v. 108, n. 2, p. 3229, doi. 10.1007/s11069-021-04821-7
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- Article
GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India.
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- Mathematical Problems in Engineering, 2021, p. 1, doi. 10.1155/2021/9914650
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- Article
Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India.
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- Advances in Civil Engineering, 2021, p. 1, doi. 10.1155/2021/9934732
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- Article
Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam – A Multidisciplinary Approach.
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- Journal of Disaster Research, 2021, v. 16, n. 4, p. 501, doi. 10.20965/jdr.2021.p0501
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- Article
Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak.
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- Computers, Materials & Continua, 2021, v. 67, n. 2, p. 1595, doi. 10.32604/cmc.2021.012646
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- Article
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models.
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- Neural Computing & Applications, 2021, v. 33, n. 8, p. 3437, doi. 10.1007/s00521-020-05214-w
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- Article
Surrogate models for the compressive strength mapping of cement mortar materials.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2021, v. 25, n. 8, p. 6347, doi. 10.1007/s00500-021-05626-3
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- Article