4.7 Article

Exploring the use of machine learning to predict metrics related to asphalt mixture performance

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Construction & Building Technology

Deep machine learning approach to develop a new asphalt pavement condition index

Hamed Majidifard et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Construction & Building Technology

Improved estimation of dynamic modulus for hot mix asphalt using deep learning

Hongren Gong et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Engineering, Multidisciplinary

New machine learning-based prediction models for fracture energy of asphalt mixtures

Hamed Majidifard et al.

MEASUREMENT (2019)

Article Construction & Building Technology

Investigating impacts of asphalt mixture properties on pavement performance using LTPP data through random forests

Hongren Gong et al.

CONSTRUCTION AND BUILDING MATERIALS (2019)

Article Construction & Building Technology

Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks

Hongren Gong et al.

CONSTRUCTION AND BUILDING MATERIALS (2018)

Review Computer Science, Artificial Intelligence

Learning from imbalanced data: open challenges and future directions

Bartosz Krawczyk

PROGRESS IN ARTIFICIAL INTELLIGENCE (2016)

Article Construction & Building Technology

An artificial neural network model for virtual Superpave asphalt mixture design

Hande I. Ozturk et al.

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Artificial neural network based modelling of the Marshall Stability of asphalt concrete

Ercan Ozgan

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Construction & Building Technology

Neural Network-Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes

Sesh Commuri et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2011)

Article Engineering, Multidisciplinary

Machine learning algorithms for damage detection under operational and environmental variability

Eloi Figueiredo et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)

Article Construction & Building Technology

Prediction of Fatigue Life of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Using Artificial Neural Networks

Feipeng Xiao et al.

JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2009)

Article Computer Science, Artificial Intelligence

Extremely randomized trees

P Geurts et al.

MACHINE LEARNING (2006)

Article Construction & Building Technology

Neural network model for asphalt concrete permeability

RA Tarefder et al.

JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2005)

Article Computer Science, Interdisciplinary Applications

Prediction of remaining service life of bridge decks using machine learning

HG Melhem et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2003)

Article Computer Science, Interdisciplinary Applications

Stochastic gradient boosting

JH Friedman

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Biochemical Research Methods

Missing value estimation methods for DNA microarrays

O Troyanskaya et al.

BIOINFORMATICS (2001)