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Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

Materials, 2019-06, Vol.12 (11), p.1828

2019

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Development of advanced artificial intelligence models for daily rainfall prediction

Atmospheric research, 2020-06, Vol.237, p.104845, Article 104845

2020

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A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

Sustainability, 2020-02, Vol.12 (3), p.830

2020

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Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models

Neural computing & applications, 2021-04, Vol.33 (8), p.3437-3458

2021

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Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony

Construction & building materials, 2021-05, Vol.284, p.122857, Article 122857

2021

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Soft-computing techniques for prediction of soils consolidation coefficient

Catena (Giessen), 2020-12, Vol.195, p.104802, Article 104802

2020

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Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

Materials, 2019-05, Vol.12 (10), p.1670

2019

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Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Applied sciences, 2019-09, Vol.9 (18), p.3841

2019

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Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4941

2019

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Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

Applied sciences, 2019-06, Vol.9 (11), p.2258

2019

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Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams

Sustainability, 2020-04, Vol.12 (7), p.2709

2020

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Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

Applied sciences, 2019-12, Vol.9 (24), p.5458

2019

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Characterization of soybeans and calibration of their DEM input parameters

Particulate science and technology, 2021-07, Vol.39 (5), p.530-548

2021

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Erratum: Ly, H.-B., et al. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability 2020, 12, 2709

Sustainability, 2020-08, Vol.12 (17), p.7029

2020

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Development and Identification of Working Parameters for a Lychee Peeling Machine Combining Rollers and a Pressing Belt

AgriEngineering, 2019-12, Vol.1 (4), p.550-566

2019

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Development and Identification of Working Parameters for Threshing Unit of Peanut Tuber Picking Machine

Advances in Asian Mechanism and Machine Science, p.313-323

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Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network

CIGOS 2019, Innovation for Sustainable Infrastructure, p.1191-1196

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Balancing Composite Motion Optimization and Artificial Neural Network for the Prediction of Critical Load of Concrete-Filled Steel Tubes Under Axial Compression

Advances in Engineering Research and Application, 2022, Vol.602, p.290-296

2022

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Daily Rainfall Prediction Using Nonlinear Autoregressive Neural Network

Micro-Electronics and Telecommunication Engineering, 2020, Vol.106, p.213-221

2020

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Discrete Element Modeling Based Determination of Shear Behavior in a Granular Medium Through Displacement Field

Advances in Engineering Research and Application, 2022, Vol.602, p.412-418

2022

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A Robustness Analysis of Different Nonlinear Autoregressive Networks Using Monte Carlo Simulations for Predicting High Fluctuation Rainfall

Micro-Electronics and Telecommunication Engineering, 2020, Vol.106, p.205-212

2020

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Dengue in Vietnamese Infants—Results of Infection-Enhancement Assays Correlate with Age-Related Disease Epidemiology, and Cellular Immune Responses Correlate with Disease Severity

The Journal of infectious diseases, 2008-08, Vol.198 (4), p.516-524

2008

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High electrochemical performance of ink solution based on manganese cobalt sulfide/reduced graphene oxide nano-composites for supercapacitor electrode materials

RSC advances, 2022-07, Vol.12 (31), p.2182-219

2022

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Antibiotics in surface water of East and Southeast Asian countries: A focused review on contamination status, pollution sources, potential risks, and future perspectives

The Science of the total environment, 2021-04, Vol.764, p.142865, Article 142865

2021

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Clinical outcomes of current medical approaches for Middle East respiratory syndrome: A systematic review and meta‐analysis

Reviews in medical virology, 2018-05, Vol.28 (3), p.e1977-n/a

2018

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Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

Development of advanced artificial intelligence models for daily rainfall prediction

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models

Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony

Soft-computing techniques for prediction of soils consolidation coefficient

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams

Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

Characterization of soybeans and calibration of their DEM input parameters

Erratum: Ly, H.-B., et al. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability 2020, 12, 2709

Development and Identification of Working Parameters for a Lychee Peeling Machine Combining Rollers and a Pressing Belt

Development and Identification of Working Parameters for Threshing Unit of Peanut Tuber Picking Machine

Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network

Balancing Composite Motion Optimization and Artificial Neural Network for the Prediction of Critical Load of Concrete-Filled Steel Tubes Under Axial Compression

Daily Rainfall Prediction Using Nonlinear Autoregressive Neural Network

Discrete Element Modeling Based Determination of Shear Behavior in a Granular Medium Through Displacement Field

A Robustness Analysis of Different Nonlinear Autoregressive Networks Using Monte Carlo Simulations for Predicting High Fluctuation Rainfall

Dengue in Vietnamese Infants—Results of Infection-Enhancement Assays Correlate with Age-Related Disease Epidemiology, and Cellular Immune Responses Correlate with Disease Severity

High electrochemical performance of ink solution based on manganese cobalt sulfide/reduced graphene oxide nano-composites for supercapacitor electrode materials

Antibiotics in surface water of East and Southeast Asian countries: A focused review on contamination status, pollution sources, potential risks, and future perspectives

Clinical outcomes of current medical approaches for Middle East respiratory syndrome: A systematic review and meta‐analysis

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