Yu Song
University of California, Los Angeles
H-index: 12
North America-United States
Top articles of Yu Song
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Estimating attached mortar paste on the surface of recycled aggregates based on deep learning and mineralogical models | Cleaner Materials | Andrea Bisciotti Derek Jiang Yu Song Giuseppe Cruciani | 2024/3/1 |
Continuous monitoring of the moisture, shrinkage, and carbonation effects on foam concrete performance | Construction and Building Materials | Yu Song Robbie M Damiani David A Lange | 2024/1/12 |
Predicting rare earth elements concentration in coal ashes with multi-task neural networks | Materials Horizons | Yu Song Yifan Zhao Alex Ginella Benjamin Gallagher Gaurav Sant | 2024 |
Unveiling the effect of composition on nuclear waste immobilization glasses’ durability by nonparametric machine learning | Mathieu Bauchy Yu Song Xiaonan Lu Kaixin Wang Joseph Ryan | 2023/10/23 | |
Fly ash degree of reaction in hypersaline NaCl and CaCl2 brines: Effects of calcium-based additives | Waste Management | Marie Collin Yu Song Dale P Prentice Ross A Arnold Kirk Ellison | 2023/10/1 |
Effect of processing on the air void system of 3D printed concrete | Cement and Concrete Research | Arnesh Das Yu Song Sara Mantellato Timothy Wangler David A Lange | 2022/6/1 |
Decarbonizing concrete with artificial intelligence | Y Song B Ouyang J Chen X Wang K Wang | 2022/5/22 | |
Measuring dynamic Young’s modulus of low-density foam concrete using resonant frequency test | Journal of Testing and Evaluation | Yu Song David A Lange | 2022/1/1 |
Interpreting the Strength Activity Index of Fly Ash with Machine Learning | Advances in Civil Engineering Materials | Yu Song Steven Zhang Kaixin Wang Chen Jin Gaurav Sant | 2022/9 |
Machine learning enables rapid screening of reactive fly ashes based on their network topology | ACS Sustainable Chemistry & Engineering | Yu Song Kai Yang Jingyi Chen Kaixin Wang Gaurav Sant | 2021/2/8 |
Using machine learning to predict concrete's strength: Learning from small datasets | Engineering Research Express | Boya Ouyang Yu Song Yuhai Li Feishu Wu Yu Huizi | 2021/2 |
EBOD: An ensemble-based outlier detection algorithm for noisy datasets | Knowledge-Based Systems | Boya Ouyang Yu Song Yuhai Li Gaurav Sant Mathieu Bauchy | 2021/11/14 |
Influence of fine inclusions on the morphology and mechanical performance of lightweight foam concrete | Cement and Concrete Composites | Yu Song David Lange | 2021/11/1 |
Deep learning-based automated image segmentation for concrete petrographic analysis | Cement and concrete research | Yu Song Zilong Huang Chuanyue Shen Humphrey Shi David Lange | 2020/6 |
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning | arXiv preprint arXiv:2004.14407 | Boya Ouyang Yuhai Li Yu Song Feishu Wu Huizi Yu | 2020/4/29 |
Crushing Behavior and Crushing Strengths of Low-Density Foam Concrete | ACI Materials Journal | Yu Song David Lange | 2020/4 |
Decoding the genome of cement by Gaussian Process Regression | Yu Song Yongzhe Wang Kaixin Wang Gaurav Sant Mathieu Bauchy | 2020/12 | |
Image-based restoration of the concrete void system using 2D-to-3D unfolding technique | Construction and Building Materials | Yu Song Chuanyue Shen Robbie Damiani David Lange | 2020 |
Predicting concrete’s strength by machine learning: Balance between accuracy and complexity of algorithms | ACI Materials Journal | N Ouyang Y Song Y Li F Wu H Yu | 2020/11 |
Influence of Pumping/Extrusion on the Air-Void System of 3D Printed Concrete | Arnesh Das Yu Song Sara Mantellato Timothy Wangler Robert Flatt | 2020/7 |
Co-Authors
