Real-time prediction of free lime in cement clinker using support vector machine algorithm-Reference-Cited by-同舟云学术

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Real-time prediction of free lime in cement clinker using support vector machine algorithm

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Big Data Analytics and Practices (IBDAP)
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Author:

Kannan Rathimala¹,Ghanim Ahmad Hanif²,Ramakrishnan Kannan³,More Satesh⁴

Affiliation:

1. Multimedia University,Faculty of Management,Department of Information Technology,Cyberjaya,Selangor,Malaysia

2. IPMI International Business School,Jakarta,Indonesia

3. Multimedia University,Faculty of Computing and Informatics,Cyberjaya,Selangor,Malaysia

4. PT Cemindo Gemilang Tbk,Performance Management Technical Directorate,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10271931/10271933/10271990.pdf?arnumber=10271990

Reference20 articles.

1. Development and comparison of neural network based soft sensors for online estimation of cement clinker quality

2. Effect of clinker free lime and cement fineness on the cement physicochemical properties;mtarfi,2017

3. A Systematic Literature Review on Applying CRISP-DM Process Model

4. Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU

5. Research on soft sensing of cement clinker f-CaO based on LS_SVM and burning zone temperature

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