Long Short Term Memory (LSTM)-based structures have demonstrated their efficiency for
daily living recognition activities in smart homes by capturing the order of sensor activations …

Buildings are one of the primary consumers of energy. In addition to the electricity grids,
renewable energies can be used to supply the energy demand of buildings. Intelligent …

One of the challenges in the field of human activity recognition in smart homes based on IoT
sensors is the variability in the recorded data. This variability arises from differences in home …

Our goal is to enhance the day-to-day lives of elderly and disabled individuals through the
use of Ambient Assisted Living (AAL) supported by a digital twin. This paper proposes an …

In many countries, particularly, third world countries. The common issue is saving energy.
Thats why smart systems considered now primary for life requirements. This work aims to …

R.—Dans la thématique grandissante de la reconnaissance d'activités de la vie quotidienne
au sein de maisons intelligentes, les réseaux de neurones basées sur les Long Short Term …

Long Short Term Memory (LSTM)-based structures have demonstrated their efficiency for
daily living recognition activities in smart homes by capturing the order of sensor activations …

Smart systems became essential for advanced life requirements. The major problem that
faced society, especially third world countries is energy, and how to save energy. The aim of …