Causality knowledge is an essential component of an explainable cyber-physical systems.
Since this knowledge mainly come from domain experts, manual annotation of causality is …

Buildings account for a large proportion of energy consumption, and improving building
energy efficiency during the operation phase has attracted increasing research attention to …

This research article is focused on analyzing the application of next-generation Internet of
Things (IoT) in creating energy-efficient systems so as to improvise the temperature and …

L'objectif de cette thèse est de proposer une nouvelle architecture dédiée à la détection de
défauts dans les procédés de fabrication. Cette dernière repose sur la combinaison des …

On the Semantic Web, resources are connected to each other by the IRI. As the basic unit is
comprised of linked data, machines can use semantic data and reason their relations …

En el contexto de los Edificios de Energía Casi Nula (EECN), la implementación de
tecnologías y el análisis de soluciones TIC (Tecnologías de la Información y Comunicación) …

Buildings consume one-third of the world's energy and are some of the major energy
consumers on the planet. Occupants use this energy for enhancing indoor environmental …

Catering to sustainable development in Architecture, Engineering and Construction (AEC)
industry, many building performance evaluation (BPE) schemas have been developed to …

This work presents an innovative Semantic Digital Twin (SDT) framework designed to
significantly enhance Building Energy Management Systems (BEMS) by improving …

Smart Homes, and more generally the Internet of Things (IoT), are gaining more and more
audience, but this kind of environment is still challenging on several aspects. Semantic …