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researcher

Ricardo. L. Mota

2 papers hereh-index 267 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedPredictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data

20 citations · 20 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 20 cited

Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data

Sergio F. Chevtchenko, Monalisa C. M. dos Santos, Diego M. Vieira +5

With the support of Internet of Things (IoT) devices, it is possible to acquire data from degradation phenomena and design data-driven models to perform anomaly detection in indust…

cs.LG2023

Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping

Sérgio F. Chevtchenko, Elisson da Silva Rocha, Monalisa Cristina Moura Dos Santos +4

Anomaly detection is critical in the smart industry for preventing equipment failure, reducing downtime, and improving safety. Internet of Things (IoT) has enabled the collection o…

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