The continuing importance of energy conservation in the building sector has drawn major attention to energy audits of existing buildings in different climates.In this paper, the energy conservation potential of a residential building located veste a frange sandro in Iran’s cold climate was investigated through an analysis of its actual energy
Analyzing unstable gait patterns from Electroencephalography (EEG) signals is vital to develop real-time brain-computer interface (BCI) systems to prevent falls and associated injuries.This study investigates the feasibility of classification algorithms to detect walking instability utilizing EEG signals.A 64-channel Brain Vision EEG system was use
The ability to make risky decisions in stressful contexts has been largely investigated in experimental settings.We examined this ability during the first months of COVID-19 pandemic, when in Italy people were exposed to a prolonged stress condition, mainly caused by a rigid lockdown.Participants among the general population completed two cognitive
This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages.DNN-based system typically requires a large amount of training data.In recent years, while DNN-based TTS has made remarkable results aboriginal flag beanie for high-resource languages, it still