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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] The sustainability concept: A review focusing on energy
The concept of sustainability, with a focus on energy, has emerged as a central tenet in
addressing the mounting global challenges of environmental degradation and resource …
addressing the mounting global challenges of environmental degradation and resource …
[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 …
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 …
Machine fault detection using a hybrid CNN-LSTM attention-based model
The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
Optimized EWT-Seq2Seq-LSTM with attention mechanism to insulators fault prediction
Insulators installed outdoors are vulnerable to the accumulation of contaminants on their
surface, which raise their conductivity and increase leakage current until a flashover occurs …
surface, which raise their conductivity and increase leakage current until a flashover occurs …
[HTML][HTML] Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
This paper addresses the challenge of predicting dam level rise in hydroelectric power
plants during floods and proposes a solution using an automatic hyperparameters tuning …
plants during floods and proposes a solution using an automatic hyperparameters tuning …
On forecasting cryptocurrency prices: A comparison of machine learning, deep learning, and ensembles
Traders and investors are interested in accurately predicting cryptocurrency prices to
increase returns and minimize risk. However, due to their uncertainty, volatility, and …
increase returns and minimize risk. However, due to their uncertainty, volatility, and …
[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 …
Video-based human activity recognition using deep learning approaches
Due to its capacity to gather vast, high-level data about human activity from wearable or
stationary sensors, human activity recognition substantially impacts people's day-to-day …
stationary sensors, human activity recognition substantially impacts people's day-to-day …