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Soundar Rajan Tirupatikumara

    • 5524 Citations
    • 33 h-Index
    1985 …2019
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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 journal › Article

    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 journal › Article

    Rural Health
    Electronic Health Records
    Health Facilities
    Ambulatory Care Facilities
    Appointments and Schedules
    2 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 journal › Article

    Internet
    Cloud computing
    Industry
    Internet of things
    Innovation
    1 Citation (Scopus)

    An Unsupervised Machine Learning Approach to Assessing Designer Performance during Physical Prototyping

    Dering, M. L., Tucker, C. S. & Tirupatikumara, S. R., Mar 1 2018, In : Journal of Computing and Information Science in Engineering. 18, 1, 011002.

    Research output: Contribution to journal › Article

    Learning systems
    Clustering algorithms
    Learning algorithms
    8 Citations (Scopus)

    Cloud-Based Parallel Machine Learning for Tool Wear Prediction

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

    Research output: Contribution to journal › Article

    Learning systems
    Wear of materials
    Health
    Cloud computing
    Condition monitoring