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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 …
[HTML][HTML] Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
The significance of accurate short-term load forecasting (STLF) for modern power systems'
efficient and secure operation is paramount. This task is intricate due to cyclicity, non …
efficient and secure operation is paramount. This task is intricate due to cyclicity, non …
[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV
Transmission power lines are essential to supply electrical energy to consumption centers.
Kee** a reliable transmission system requires the early identification of faults. Image …
Kee** a reliable transmission system requires the early identification of faults. Image …
Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices
The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …
rely on these resources to keep their businesses running. However, the value of electricity is …
[HTML][HTML] Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …
such as the accumulation of contaminants on their surface. The contaminants increase the …
Interpretable visual transmission lines inspections using pseudo-prototypical part network
To guarantee the reliability of the electric energy supply, it is necessary that the transmission
lines are operating without interruptions. To improve the identification of faults in the …
lines are operating without interruptions. To improve the identification of faults in the …
[HTML][HTML] Wavelet LSTM for fault forecasting in electrical power grids
An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …
continuous and stable way. Failures in the electrical power system reduce the reliability …
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 …
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 …