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Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5682

2021

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Evaluation of international roughness index for asphalt overlays placed over cracked and seated concrete pavements

The international journal of pavement engineering, 2009-06, Vol.10 (3), p.201-207

2009

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International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions

Space Weather, 2017-02, Vol.15 (2), p.418-429

2017

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Machine learning approach for pavement performance prediction

The international journal of pavement engineering, 2021-02, Vol.22 (3), p.341-354

2021

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Prediction of International Roughness Index Based on Stacking Fusion Model

Sustainability, 2022-06, Vol.14 (12), p.6949

2022

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Roughness and condition prediction models for airfield pavements using digital image processing

Automation in construction, 2022-07, Vol.139, p.104325, Article 104325

2022

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An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree

The international journal of pavement engineering, 2022-08, Vol.23 (10), p.3633-3646

2022

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Modeling of road damage prediction due to overload using HDM-4 method

Eureka, Physics and Engineering (Online), 2024-01 (1), p.70-81

2024

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Comparison of GPS TEC with modelled values from IRI 2016 and IRI-PLAS over Istanbul, Turkey

Astrophysics and space science, 2018-11, Vol.363 (11), p.1-9, Article 231

Atıcı, Ramazan

2018

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An Efficient and Explainable Ensemble Learning Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset

IEEE transactions on intelligent transportation systems, 2022-11, Vol.23 (11), p.22084-22093

2022

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Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare

Astrophysics and space science, 2021-08, Vol.366 (8), Article 80

2021

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International Roughness Index (IRI) prediction models for freeways

Transportation research procedia (Online), 2023, Vol.71, p.292-299

2023

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Estimation of IRI from PASER using ANN based on k-means and fuzzy c-means clustering techniques: a case study

The international journal of pavement engineering, 2022-12, Vol.23 (14), p.5153-5167

2022

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Development of pavement roughness master curves using Markov Chain

The international journal of pavement engineering, 2022-01, Vol.23 (2), p.453-463

2022

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Analysis of ionospheric TEC from GPS, GIM and global ionosphere models during moderate, strong, and extreme geomagnetic storms over Indian region

Acta astronautica, 2019-08, Vol.161, p.283-292

2019

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Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG

Materials, 2023-01, Vol.16 (3), p.1126

2023

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Artificial neural network modelling to predict international roughness index of rigid pavements

International journal of pavement research & technology, 2020-05, Vol.13 (3), p.229-239

2020

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Transfer learning for pavement performance prediction

International journal of pavement research & technology, 2020-03, Vol.13 (2), p.154-167

2020

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An Approach to Incorporate Amplitudes and Wavelengths of Transverse Crack for Predicting IRI

KSCE Journal of Civil Engineering, 2023, 27(12), , pp.5163-5174

2023

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Effects of maintenance, traffic and climate condition on International Roughness Index of flexible pavement

The international journal of pavement engineering, 2023-12, Vol.24 (1)

2023

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Comparison of Master Sigmoidal Curve and Markov Chain Techniques for Pavement Performance Prediction

Arabian journal for science and engineering (2011), 2020-05, Vol.45 (5), p.3973-3982

2020

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Performance of IRI‐2012 model during a deep solar minimum and a maximum year over global equatorial regions

Journal of geophysical research. Space physics, 2016-06, Vol.121 (6), p.5664-5674

Kumar, Sanjay

2016

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TEC prediction performance of IRI-2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

Journal of geophysical research. Space physics, 2015-07, Vol.120 (7), p.5973-5982

Tariku, Yekoye Asmare

2015

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Identification of potential necroinflammation-associated necroptosis-related biomarkers for delayed graft function and renal allograft failure: a machine learning-based exploration in the framework of predictive, preventive, and personalized medicine

The EPMA journal, 2023-06, Vol.14 (2), p.307-328

2023

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Ionospheric TEC from the Turkish Permanent GNSS Network (TPGN) and comparison with ARMA and IRI models

Astrophysics and space science, 2017-09, Vol.362 (9), p.1, Article 178

2017

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Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement

Evaluation of international roughness index for asphalt overlays placed over cracked and seated concrete pavements

International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions

Machine learning approach for pavement performance prediction

Prediction of International Roughness Index Based on Stacking Fusion Model

Roughness and condition prediction models for airfield pavements using digital image processing

An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree

Modeling of road damage prediction due to overload using HDM-4 method

Comparison of GPS TEC with modelled values from IRI 2016 and IRI-PLAS over Istanbul, Turkey

An Efficient and Explainable Ensemble Learning Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset

Analysis of TEC values predicted by OKSM amongst low, mid and high latitude GPS stations during X 9.3 solar flare

International Roughness Index (IRI) prediction models for freeways

Estimation of IRI from PASER using ANN based on k-means and fuzzy c-means clustering techniques: a case study

Development of pavement roughness master curves using Markov Chain

Analysis of ionospheric TEC from GPS, GIM and global ionosphere models during moderate, strong, and extreme geomagnetic storms over Indian region

Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG

Artificial neural network modelling to predict international roughness index of rigid pavements

Transfer learning for pavement performance prediction

An Approach to Incorporate Amplitudes and Wavelengths of Transverse Crack for Predicting IRI

Effects of maintenance, traffic and climate condition on International Roughness Index of flexible pavement

Comparison of Master Sigmoidal Curve and Markov Chain Techniques for Pavement Performance Prediction

Performance of IRI‐2012 model during a deep solar minimum and a maximum year over global equatorial regions

TEC prediction performance of IRI-2012 model during a very low and a high solar activity phase over equatorial regions, Uganda

Identification of potential necroinflammation-associated necroptosis-related biomarkers for delayed graft function and renal allograft failure: a machine learning-based exploration in the framework of predictive, preventive, and personalized medicine

Ionospheric TEC from the Turkish Permanent GNSS Network (TPGN) and comparison with ARMA and IRI models

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