[HTML][HTML] The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: a comprehensive systematic review

SE Bibri, J Huang, SK Jagatheesaperumal… - Environmental Science …, 2024 - Elsevier
In the dynamic landscape of sustainable smart cities, emerging computational technologies
and models are reshaping data-driven planning strategies, practices, and approaches …

[HTML][HTML] A review and outlook of airframe digital twins for structural prognostics and health management in the aviation industry

JWY Chia, WJC Verhagen, JM Silva, IS Cole - Journal of Manufacturing …, 2024 - Elsevier
Abstract The Airframe Digital Twin (ADT) framework was conceived over a decade ago as a
revolutionary way to realise condition-based maintenance within the defence aviation field …

IoT-DEW computing-inspired real-time monitoring of indoor environment for irregular health prediction

A Manocha, SK Sood, M Bhatia - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT)-based monitoring, using smart sensors to gather contextual data, is
becoming the norm for making informed decisions. cyber-physical systems (CPS) play a …

[HTML][HTML] Advancing personalised care in atrial fibrillation and stroke: the potential impact of AI from prevention to rehabilitation

S Ortega-Martorell, I Olier, M Ohlsson, GYH Lip… - Trends in …, 2024 - Elsevier
Atrial fibrillation (AF) is a complex condition caused by various underlying
pathophysiological disorders and is the most common heart arrhythmia worldwide, affecting …

[HTML][HTML] The Rise of Digital Twins in Healthcare: A Mapping of the Research Landscape

SM Kuriakose, J Joseph, A Rajimol, R Kollinal - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
The place of digital twin technology in any healthcare system is a truly disruptive innovation
that has profound consequences all across medical research and practice. Digital twins …

The role of industry 4.0 enabling technologies for predicting, and managing of algal blooms: Bridging gaps and unlocking potential

AG Sheik, M Sireesha, A Kumar, PR Dasari… - Marine Pollution …, 2025 - Elsevier
Recent advancements in data analytics, predictive modeling, and optimization have
highlighted the potential of integrating algal blooms (ABs) with Industry 4.0 technologies …

Analysis face recognition based systems for employees attendance machine learning

P Rastogi, P Saravanan, GHK Beenu… - 2023 Second …, 2023 - ieeexplore.ieee.org
The Attendance Management System with the importance and growth of technology in this
digital age, there has been a tendency towards digital education using facial recognition …

[HTML][HTML] AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

AA Alnaser, M Maxi, H Elmousalami - Applied Sciences, 2024 - mdpi.com
This systematic literature review explores the intersection of AI-driven digital twins and IoT in
creating a sustainable building environment. A comprehensive analysis of 125 papers …

Artificial intelligence in civil engineering: An immersive view

NR Kapoor, A Kumar, A Kumar, A Kumar… - Artificial Intelligence …, 2024 - Elsevier
Conventionally, civil engineering is the branch mainly related to the construction of
buildings, bridges, highways, etc. Presently, the scope of civil engineering is widening, and …

[HTML][HTML] Enhancing asset management: Integrating digital twins for continuous permitting and compliance-A systematic literature review

A Alhadi, BD Tom, R Yacine - Journal of Building Engineering, 2024 - Elsevier
Abstract The emergence of Digital Twin technologies (DT) has revolutionised construction
works and asset management, thereby improving efficiency and control through exceptional …