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Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents

PloS one, 2022-02, Vol.17 (2), p.e0262941

2022

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Simulation-based particle swarm optimization technique for the breadth design of stairs and passageway network at interchange stations

MATEC Web of Conferences, 2019, Vol.272, p.1036

2019

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Assessing wind field characteristics along the airport runway glide slope: an explainable boosting machine-assisted wind tunnel study

Scientific reports, 2023-07, Vol.13 (1), p.10939-10939, Article 10939

2023

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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Applied artificial intelligence, 2024-12, Vol.38 (1)

2024

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Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

KSCE Journal of Civil Engineering, 2023, 27(10), , pp.4115-4129

2023

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Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport

Atmosphere, 2023-01, Vol.14 (2), p.268

2023

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Prediction of Aircraft Go-Around during Wind Shear Using the Dynamic Ensemble Selection Framework and Pilot Reports

Atmosphere, 2022-12, Vol.13 (12), p.2104

2022

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Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations

Atmosphere, 2022-12, Vol.13 (12), p.2102

2022

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Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light Detection and Ranging Data

Atmosphere, 2024-01, Vol.15 (1), p.20

2024

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Turbulence along the Runway Glide Path: The Invisible Hazard Assessment Based on a Wind Tunnel Study and Interpretable TPE-Optimized KTBoost Approach

Atmosphere, 2023-06, Vol.14 (6), p.920

2023

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Assessment of Crosswind Speed over the Runway Glide Path Using an Interpretable Local Cascade Ensemble Approach Aided by Wind Tunnel Experiments

Atmosphere, 2023-10, Vol.14 (10), p.1561

2023

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AI-supported estimation of safety critical wind shear-induced aircraft go-around events utilizing pilot reports

Heliyon, 2024-04, Vol.10 (7), p.e28569-e28569, Article e28569

2024

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Prediction of a Pilot’s Invisible Foe: The Severe Low-Level Wind Shear

Atmosphere, 2023-01, Vol.14 (1), p.37

2023

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Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy

Asia-Pacific Journal of Atmospheric Sciences, 2024, 60(3), , pp.271-287

2024

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Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis

Atmosphere, 2024-05, Vol.15 (5), p.545

2024

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Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning

Advances in meteorology, 2023-07, Vol.2023, p.1-24

2023

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Computation of Optimal Spacing and Density of Bus Rapid Transit Stations Using Evolutionary Algorithms

Arabian journal for science and engineering (2011), 2021-05, Vol.46 (5), p.5179-5202

2021

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Increasing Robustness by Reallocating the Margins in the Timetable

Journal of advanced transportation, 2019, Vol.2019, p.1-15

2019

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Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

Urban rail transit, 2017-06, Vol.3 (2), p.112-127

2017

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Hybrid DES-PSO framework for the design of commuters’ circulation space at multimodal transport interchange

Mathematics and computers in simulation, 2021-02, Vol.180, p.205-229

2021

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Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations

International journal of environmental research and public health, 2022-03, Vol.19 (5), p.2925

2022

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SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events

Expert systems with applications, 2024-11, Vol.254, p.124399, Article 124399

2024

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Performance evaluation of bacterial self-healing rigid pavement by incorporating recycled brick aggregate

Cement & concrete composites, 2021-03, Vol.117, p.103914, Article 103914

2021

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Estimating turbulence intensity along the glide path using wind tunnel experiments combined with interpretable tree-based machine learning algorithms

Building and environment, 2023-07, Vol.239, p.110385, Article 110385

2023

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Assessment of Factors Affecting Pavement Rutting in Pakistan Using Finite Element Method and Machine Learning Models

Sustainability, 2024-03, Vol.16 (6), p.2362

2024

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Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents

Simulation-based particle swarm optimization technique for the breadth design of stairs and passageway network at interchange stations

Assessing wind field characteristics along the airport runway glide slope: an explainable boosting machine-assisted wind tunnel study

Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport

Prediction of Aircraft Go-Around during Wind Shear Using the Dynamic Ensemble Selection Framework and Pilot Reports

Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations

Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light Detection and Ranging Data

Turbulence along the Runway Glide Path: The Invisible Hazard Assessment Based on a Wind Tunnel Study and Interpretable TPE-Optimized KTBoost Approach

Assessment of Crosswind Speed over the Runway Glide Path Using an Interpretable Local Cascade Ensemble Approach Aided by Wind Tunnel Experiments

AI-supported estimation of safety critical wind shear-induced aircraft go-around events utilizing pilot reports

Prediction of a Pilot’s Invisible Foe: The Severe Low-Level Wind Shear

Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy

Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis

Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning

Computation of Optimal Spacing and Density of Bus Rapid Transit Stations Using Evolutionary Algorithms

Increasing Robustness by Reallocating the Margins in the Timetable

Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

Hybrid DES-PSO framework for the design of commuters’ circulation space at multimodal transport interchange

Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations

SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events

Performance evaluation of bacterial self-healing rigid pavement by incorporating recycled brick aggregate

Estimating turbulence intensity along the glide path using wind tunnel experiments combined with interpretable tree-based machine learning algorithms

Assessment of Factors Affecting Pavement Rutting in Pakistan Using Finite Element Method and Machine Learning Models

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