Application of machine learning in predicting workability for alkali-activated materials
Alkali-activated materials (AAMs) have been extensively studied for their superior performance and eco-friendliness. While previous researches have primarily focused on the hardened properties of AAMs, the assessment of their fresh properties has often been overlooked. The preparation process of AAM...
Main Authors: | Y.K. Kong, Kiyofumi Kurumisawa |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-07-01
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Series: | Case Studies in Construction Materials |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509523003534 |
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