65 citations · 87 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction
Daniel Rosa, Filipe R. Cordeiro, Ruan Carvalho +6
Handwritten Mathematical Expression Recognition (HMER) is a challenging task with many educational applications. Recent methods for HMER have been developed for complex mathematica…
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
Sergio F. Chevtchenko, Yeshwanth Bethi, Teresa B. Ludermir +1
Reinforcement Learning (RL) provides a powerful framework for decision-making in complex environments. However, implementing RL in hardware-efficient and bio-inspired ways remains…
A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries
Sérgio F Chevtchenko, Elisson da Silva Rocha, Bruna Cruz +2
Energy storage solutions play an increasingly important role in modern infrastructure and lead-acid batteries are among the most commonly used in the rechargeable category. Due to…
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…