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Lee Kong Chian Faculty of Engineering and Science
Published Scholarly Output
The potential of deep learning in dynamic maintenance scheduling for thermal energy storage chiller plants
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The potential of deep learning in dynamic maintenance scheduling for thermal energy storage chiller plants
Journal
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure
Date Issued
2024
Author(s)
Mirza Rayana Sanzana
Mostafa Osama Mostafa Abdulrazic
Jing Ying Wong
Tomas Maul
Chun Chieh Yip
Lee Kong Chian Faculty of Engineering and Science
DOI
10.1016/B978-0-12-824073-1.00012-5
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Name
Book & Book Chapter.png
Size
18.2 KB
Format
PNG
Checksum
(MD5):6459b36f69f027e855edacb3be8e57e9
