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Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms
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E. Gultekin And M. S. AKTAŞ, "Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms," 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 , vol.14108 LNCS, Athens, Greece, pp.16-31, 2023

Gultekin, E. And AKTAŞ, M. S. 2023. Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms. 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 , (Athens, Greece), 16-31.

Gultekin, E., & AKTAŞ, M. S., (2023). Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms . 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 (pp.16-31). Athens, Greece

Gultekin, Emrullah, And Mehmet Sıddık AKTAŞ. "Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms," 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, Athens, Greece, 2023

Gultekin, Emrullah And AKTAŞ, Mehmet S. . "Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms." 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 , Athens, Greece, pp.16-31, 2023

Gultekin, E. And AKTAŞ, M. S. (2023) . "Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms." 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 , Athens, Greece, pp.16-31.

@conferencepaper{conferencepaper, author={Emrullah Gultekin And author={Mehmet Sıddık AKTAŞ}, title={Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms}, congress name={23rd International Conference on Computational Science and Its Applications, ICCSA 2023}, city={Athens}, country={Greece}, year={2023}, pages={16-31} }