Synthèse
Volume 30, Numéro 2, Pages 27-32
2025-12-01
Authors : Redouane Boudjemaa .
Digital twin technology represents a significant advancement in the digital transformation of industries, facilitating the creation of vir- tual replicas of physical systems. This innovation leverages tech- nologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning to enable real-time monitoring, predic- tive analysis, and optimization. This contribution explores the foun- dational concepts of digital twins, their integration across diverse domains such as manufacturing, healthcare, and smart cities, and their emerging role in the Metaverse. Key challenges, opportuni- ties, and future directions for digital twin applications are also dis- cussed, providing a comprehensive overview of their transformative potential in the context of Industry 4.0 and beyond
Digital twin technology ; machine learning
Elahi Muhammad Mohsin
.
Dil Sher
.
Mehdi Muhammad Tahir
.
pages 82-106.
Mekhanet Fattoum
.
pages 314-331.
Gadiri Meryem
.
Mekidiche Mohammed
.
pages 643-658.
أستاذ العلاج النفسي المشارك د.عثمان فضل السيد أحمد فضل السيد
.
طالبة دكتوراة أ. هناء عبد العظيم حسن الهاشمي
.
ص 277-303.