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AI-Enabled Digital Twins for Aerospace Systems: Architectures, Applications, Challenges, and Future Research Directions
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inferredcites →https://doi.org/10.1007/s00170-021-06976-wopenalex-snapshot
Digital twin–driven aero-engine intelligent predictive maintenance
inferredcites →https://doi.org/10.1007/s13272-023-00696-5openalex-snapshot
Utilisation of semantic technologies for the realisation of data-driven process improvements in the maintenance, repair and overhaul of aircraft components
inferredcites →https://doi.org/10.1016/j.actaastro.2024.01.019openalex-snapshot
AI-enabled Cyber–Physical In-Orbit Factory - AI approaches based on digital twin technology for robotic small satellite production
inferredcites →https://doi.org/10.1016/j.aei.2025.103688openalex-snapshot
DR-RAG: Domain-Rule-based Retrieval-Augmented Generation for aviation digital model design
inferredcites →https://doi.org/10.1016/j.applthermaleng.2024.122954openalex-snapshot
A digital twin approach for gas turbine performance based on deep multi-model fusion
inferredcites →https://doi.org/10.1016/j.asr.2024.09.015openalex-snapshot
DT-DDQNR: A digital twin assisted direct-to-cell satellite network intelligent routing algorithm
inferredcites →https://doi.org/10.1016/j.comcom.2023.07.041openalex-snapshot
Multi-UAV-assisted computation offloading in DT-based networks: A distributed deep reinforcement learning approach
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107784openalex-snapshot
Artificial intelligence for intrusion detection systems in Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1016/j.energy.2023.126894openalex-snapshot
A novel digital twin approach based on deep multimodal information fusion for aero-engine fault diagnosis
inferredcites →https://doi.org/10.1016/j.energy.2023.129118openalex-snapshot
Digital twin for Electronic Centralized Aircraft Monitoring by machine learning algorithms
inferredcites →https://doi.org/10.1016/j.engappai.2023.106318openalex-snapshot
AI-based UAV navigation framework with digital twin technology for mobile target visitation
inferredcites →https://doi.org/10.1016/j.engfailanal.2022.106790openalex-snapshot
Aero-engine gas path system health assessment based on depth digital twin
inferredcites →https://doi.org/10.1016/j.future.2023.11.034openalex-snapshot
PUDT: Plummeting uncertainties in digital twins for aerospace applications using deep learning algorithms
inferredcites →https://doi.org/10.1016/j.jmsy.2023.02.012openalex-snapshot
An Ontology-based Engineering system to support aircraft manufacturing system design
inferredcites →https://doi.org/10.1016/j.jmsy.2023.06.006openalex-snapshot
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example
inferredcites →https://doi.org/10.1016/j.paerosci.2023.100960openalex-snapshot
Artificial Intelligence for Trusted Autonomous Satellite Operations
inferredcites →https://doi.org/10.1016/j.paerosci.2025.101085openalex-snapshot
Advances in low-altitude airspace management for uncrewed aircraft and advanced air mobility
inferredcites →https://doi.org/10.1016/j.procs.2018.10.288openalex-snapshot
Conceptual Modeling of Cyber-Physical Gaps in Air Traffic Control
inferredcites →https://doi.org/10.1016/j.promfg.2021.10.020openalex-snapshot
A Framework of Dynamic Data Driven Digital Twin for Complex Engineering Products: the Example of Aircraft Engine Health Management
inferredcites →https://doi.org/10.1016/j.treng.2024.100257openalex-snapshot
A resource prediction method for air traffic cyber-physical-social system
inferredcites →https://doi.org/10.1016/j.ymssp.2022.108809openalex-snapshot
Advanced multi-input system identification for next generation aircraft loads monitoring using linear regression, neural networks and deep learning
inferredcites →https://doi.org/10.1017/aer.2024.23openalex-snapshot
Distributed digital twins for health monitoring: resource constrained aero-engine fleet management
inferredcites →https://doi.org/10.1109/access.2021.3050877openalex-snapshot
A Generalised Methodology for the Diagnosis of Aircraft Systems
inferredcites →https://doi.org/10.1109/access.2021.3100683openalex-snapshot
Application Status and Prospect of Digital Twin for On-Orbit Spacecraft
inferredcites →https://doi.org/10.1109/access.2024.3371902openalex-snapshot
Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems
inferredcites →https://doi.org/10.1109/access.2024.3376589openalex-snapshot
Digital Twins and Control Theory: A Critical Review on Revolutionizing Quadrotor UAVs
inferredcites →https://doi.org/10.1109/access.2025.3558439openalex-snapshot
Next-Gen Internet of Drones: Federated Learning and Digital Twin Synergy for Energy-Efficient Task Allocation and Seamless Service Migration
inferredcites →https://doi.org/10.1109/iotm.001.2200271openalex-snapshot
A DT Machine Learning-Based Satellite Orbit Prediction for IoT Applications
inferredcites →https://doi.org/10.1109/jiot.2021.3127873openalex-snapshot
Deep Reinforcement Learning for Flocking Motion of Multi-UAV Systems: Learn From a Digital Twin
inferredcites →https://doi.org/10.1109/jiot.2023.3263574openalex-snapshot
Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2025.3632060openalex-snapshot
Quantum Deep Reinforcement Learning for URLLC Satellite-Air-Ground Integrated Networks With Digital Twin Applications
inferredcites →https://doi.org/10.1109/jsac.2023.3310048openalex-snapshot
RADiT: Resource Allocation in Digital Twin-Driven UAV-Aided Internet of Vehicle Networks
inferredcites →https://doi.org/10.1109/jsac.2023.3313595openalex-snapshot
Cooperative Multi-Agent Deep Reinforcement Learning for Computation Offloading in Digital Twin Satellite Edge Networks
inferredcites →https://doi.org/10.1109/jsen.2024.3400249openalex-snapshot
Digital Twin-Assisted Multiview Reconstruction Enhanced Domain Adaptation Graph Networks for Aero-Engine Gas Path Fault Diagnosis
inferredcites →https://doi.org/10.1109/lwc.2024.3456247openalex-snapshot
GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks
inferredcites →https://doi.org/10.1109/mnet.001.2200484openalex-snapshot
A Digital Twin-Based Drone-Assisted Secure Data Aggregation Scheme with Federated Learning in Artificial Intelligence of Things
inferredcites →https://doi.org/10.1109/mnet.003.2200275openalex-snapshot
Machine Learning-Aided Real-Time Optimized Multibeam for 6G Integrated Satellite-Terrestrial Networks: Global Coverage for Mobile Services
inferredcites →https://doi.org/10.1109/mnet.011.2000388openalex-snapshot
Toward Intelligent Cooperation of UAV Swarms: When Machine Learning Meets Digital Twin
inferredcites →https://doi.org/10.1109/ojvt.2023.3333676openalex-snapshot
URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles
inferredcites →https://doi.org/10.1109/phm58589.2023.00065openalex-snapshot
Generating High-Resolution Flight Parameters in Structural Digital Twins Using Deep Learning-based Upsampling
inferredcites →https://doi.org/10.1109/taes.2023.3329797openalex-snapshot
Fixed-Wing Unmanned Aerial Vehicle Rotary Engine Anomaly Detection via Online Digital Twin Methods
inferredcites →https://doi.org/10.1109/taes.2024.3459879openalex-snapshot
Artificial Intelligence Based Spacecraft Resilience Optimization in Space Informatics Digital Twins
inferredcites →https://doi.org/10.1109/tce.2024.3368156openalex-snapshot
A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network
inferredcites →https://doi.org/10.1109/tce.2024.3434971openalex-snapshot
Emerging Trends in UAVs: From Placement, Semantic Communications to Generative AI for Mission-Critical Networks
inferredcites →https://doi.org/10.1109/tcomm.2024.3392795openalex-snapshot
Computation and Privacy Protection for Satellite-Ground Digital Twin Networks
inferredcites →https://doi.org/10.1109/tii.2024.3431106openalex-snapshot
On Constructing Efficient UAV Aerodynamic Surrogate Models for Digital Twins
inferredcites →https://doi.org/10.1109/tits.2020.2997469openalex-snapshot
A Deep Learning-Based Blockchain Mechanism for Secure Internet of Drones Environment
inferredcites →https://doi.org/10.1109/tits.2021.3108995openalex-snapshot
Unmanned Aircraft System Airspace Structure and Safety Measures Based on Spatial Digital Twins
inferredcites →https://doi.org/10.1109/tits.2021.3113787openalex-snapshot
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics
inferredcites →https://doi.org/10.1109/tiv.2023.3335277openalex-snapshot
Hybrid Machine Learning Approach for Resource Allocation of Digital Twin in UAV-Aided Internet-of-Vehicles Networks
inferredcites →https://doi.org/10.1109/tmc.2023.3335386openalex-snapshot
A Federated Digital Twin Framework for UAVs-Based Mobile Scenarios
inferredcites →https://doi.org/10.1109/tnnls.2025.3564184openalex-snapshot
Vision-Based Learning for Drones: A Survey
inferredcites →https://doi.org/10.1109/tvt.2021.3102589openalex-snapshot
Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning
inferredcites →https://doi.org/10.1109/tvt.2023.3245120openalex-snapshot
Multi-UAV Cooperative Search Based on Reinforcement Learning With a Digital Twin Driven Training Framework
inferredcites →https://doi.org/10.1109/tvt.2023.3262261openalex-snapshot
FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2025.3559735openalex-snapshot
Computing Power in the Sky: Digital Twin-Assisted Collaborative Computing With Multi-UAV Networks
inferredcites →https://doi.org/10.1109/twc.2025.3545745openalex-snapshot
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin Empowered LEO Satellite Networks
inferredcites →https://doi.org/10.1115/1.4052994openalex-snapshot
Machine Learning-Based Digital Twins Reduce Seasonal Remapping in Aeroderivative Gas Turbines
inferredcites →https://doi.org/10.1177/14759217211036880openalex-snapshot
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
inferredcites →https://doi.org/10.1364/oe.515568openalex-snapshot
Research on spacecraft in orbit perception based on artificial neural networks and digital twin technology using grating arrays
inferredcites →https://doi.org/10.2514/1.j060890openalex-snapshot
Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin
inferredcites →https://doi.org/10.2514/1.j064671openalex-snapshot
Real-Time In-Service Load Tracking Toward Airframe Digital Twins
inferredcites →https://doi.org/10.2514/1.j064808openalex-snapshot
Variational Neural Network Embedded with Digital Twins for Probabilistic Structural Damage Quantification
inferredcites →https://doi.org/10.32604/cmc.2022.025473openalex-snapshot
Federated Learning with Blockchain Assisted Image Classification for Clustered UAV Networks
inferredcites →https://doi.org/10.3389/frvir.2024.1372923openalex-snapshot
A real-time digital twin for active safety in an aircraft hangar
inferredcites →https://doi.org/10.3390/aerospace10080683openalex-snapshot
Hybrid Turbo-Shaft Engine Digital Twinning for Autonomous Aircraft via AI and Synthetic Data Generation
inferredcites →https://doi.org/10.3390/en18205523openalex-snapshot
Physics-Informed Machine Learning for Intelligent Gas Turbine Digital Twins: A Review
inferredcites →https://doi.org/10.3390/math12192979openalex-snapshot
Digital Twin Framework for Aircraft Lifecycle Management Based on Data-Driven Models
inferredcites →https://doi.org/10.3390/math12213428openalex-snapshot
Integration of Foundation Models and Federated Learning in AIoT-Based Aircraft Health Monitoring Systems
inferredcites →https://doi.org/10.3390/s21062066openalex-snapshot
Towards Aircraft Maintenance Metaverse Using Speech Interactions with Virtual Objects in Mixed Reality
inferredcites →https://doi.org/10.3390/s21134267openalex-snapshot
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks
inferredcites →https://doi.org/10.3390/s25196136openalex-snapshot
Machine Learning for Structural Health Monitoring of Aerospace Structures: A Review
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