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Fingerprint Dive into the research topics where Soundar Rajan Tirupatikumara is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Planning Engineering & Materials Science
Neural networks Engineering & Materials Science
Multi agent systems Engineering & Materials Science
Supply chains Engineering & Materials Science
Wear of materials Engineering & Materials Science
Sensors Engineering & Materials Science
Product design Engineering & Materials Science
Logistics Engineering & Materials Science

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Research Output 1985 2019

Machine learning and AI for long-term fault prognosis in complex manufacturing systems

Bukkapatnam, S. T. S., Afrin, K., Dave, D. & Tirupatikumara, S. R., Jan 1 2019, In : CIRP Annals. 68, 1, p. 459-462 4 p.

Research output: Contribution to journalArticle

Learning systems
Electric fuses
Information systems
Automation
Sensors

SuperOrder: Provider order recommendation system for outpatient clinics

Sung, Y. S., Dravenstott, R. W., Darer, J. D., Devapriya, P. D. & Tirupatikumara, S. R., Jan 1 2019, In : Health Informatics Journal.

Research output: Contribution to journalArticle

Rural Health
Electronic Health Records
Health Facilities
Ambulatory Care Facilities
Appointments and Schedules
3 Citations (Scopus)

The internet of things for smart manufacturing: A review

Yang, H., Tirupatikumara, S. R., Bukkapatnam, S. T. S. & Tsung, F., Jan 1 2019, In : IISE Transactions.

Research output: Contribution to journalArticle

Internet
Cloud computing
Industry
Internet of things
Innovation
1 Citation (Scopus)
Learning systems
Clustering algorithms
Learning algorithms
12 Citations (Scopus)

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Wu, D., Jennings, C., Terpenny, J., Kumara, S. & Gao, R. X., Jan 1 2018, In : Journal of Manufacturing Science and Engineering, Transactions of the ASME. 140, 4, 041005.

Research output: Contribution to journalArticle

Learning systems
Wear of materials
Health
Cloud computing
Condition monitoring