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[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 …
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
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 …
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
The paper investigates retraining options and the performance of pre-trained Convolutional
Neural Networks (CNNs) for sound classification. CNNs were initially designed for image …
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
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 …
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
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 …
are identified during inspections of the electrical power system before shutdowns occur. To …
Hybrid wavelet stacking ensemble model for insulators contamination forecasting
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 …
irreversible failures in the electrical power system. In this paper, the ultrasound equipment is …
Optimized hybrid YOLOu‐Quasi‐ProtoPNet for insulators classification
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 …
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
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 …
conditions. When contamination accumulates in the structures of the network, there may be …
Low-cost CNN for automatic violence recognition on embedded system
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 …
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …
Classification of insulators using neural network based on computer vision
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 …
environmental stresses, such as the presence of contamination. Contamination can increase …