[HTML][HTML] Artificial intelligence of things applied to assistive technology: a systematic literature review

MP de Freitas, VA Piai, RH Farias, AMR Fernandes… - Sensors, 2022 - mdpi.com
According to the World Health Organization, about 15% of the world's population has some
form of disability. Assistive Technology, in this context, contributes directly to the overcoming …

[HTML][HTML] Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models

NF Sopelsa Neto, SF Stefenon, LH Meyer, RG Ovejero… - Sensors, 2022 - mdpi.com
To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …

Comparison of pre-trained CNNs for audio classification using transfer learning

E Tsalera, A Papadakis, M Samarakou - Journal of Sensor and Actuator …, 2021 - mdpi.com
The paper investigates retraining options and the performance of pre-trained Convolutional
Neural Networks (CNNs) for sound classification. CNNs were initially designed for image …

Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

SF Stefenon, MHDM Ribeiro, A Nied, KC Yow… - Electric Power Systems …, 2022 - Elsevier
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …

Classification of distribution power grid structures using inception v3 deep neural network

SF Stefenon, KC Yow, A Nied, LH Meyer - Electrical Engineering, 2022 - Springer
To maintain the supply of electrical energy, it is necessary that failures in the distribution grid
are identified during inspections of the electrical power system before shutdowns occur. To …

Hybrid wavelet stacking ensemble model for insulators contamination forecasting

SF Stefenon, MHDM Ribeiro, A Nied, VC Mariani… - IEEE …, 2021 - ieeexplore.ieee.org
Contaminated insulators can have higher surface conductivity, which can result in
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …

Optimized hybrid YOLOu‐Quasi‐ProtoPNet for insulators classification

SF Stefenon, G Singh, BJ Souza… - IET Generation …, 2023 - Wiley Online Library
To ensure the electrical power supply, inspections are frequently performed in the power
grid. Nowadays, several inspections are conducted considering the use of aerial images …

[HTML][HTML] Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures

SF Stefenon, G Singh, KC Yow, A Cimatti - Sensors, 2022 - mdpi.com
Power distribution grids are typically installed outdoors and are exposed to environmental
conditions. When contamination accumulates in the structures of the network, there may be …

Low-cost CNN for automatic violence recognition on embedded system

JC Vieira, A Sartori, SF Stefenon, FL Perez… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing number of violence cases, there is a high demand for efficient
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …

Classification of insulators using neural network based on computer vision

SF Stefenon, MP Corso, A Nied… - IET Generation …, 2022 - Wiley Online Library
Insulators of the electrical power grid are usually installed outdoors, so they suffer from
environmental stresses, such as the presence of contamination. Contamination can increase …