Industrial digital twins at the nexus of nextG wireless networks and computational intelligence: a survey

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

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Deep Reinforcement Learning: A Brief Survey

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Digital Twin in Industry: State-of-the-Art

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Digital Twin in manufacturing: A categorical literature review and classification

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Digital twin: Enabling technologies, challenges and open research

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Characterising the Digital Twin: A systematic literature review

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Industrial Internet of Things: Challenges, Opportunities, and Directions

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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

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Review of digital twin about concepts, technologies, and industrial applications

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Digital twin: values, challenges and enablers from a modeling perspective

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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

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A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems

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Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison

Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716 · see citing works

Enabling technologies and tools for digital twin

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A survey on digital twin: definitions, characteristics, applications, and design implications

Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019) · IEEE Access · doi:10.1109/access.2019.2953499 · Cited by 1,480 · see citing works

Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing

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A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact

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Leveraging Digital Twin Technology in Model-Based Systems Engineering

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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

Khan, L. U., Saad, W., Han, Z., Hossain, E., & Hong, C. S. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3090430 · Cited by 892 · see citing works

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

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Review of digital twin applications in manufacturing

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Digital Twin Networks: A Survey

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Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture

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Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

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Digital twins-based smart manufacturing system design in Industry 4.0: A review

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Make more digital twins

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Evolutionary algorithms and their applications to engineering problems

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Digital twin-based smart production management and control framework for the complex product assembly shop-floor

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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

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Digital twins in smart farming

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Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings

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The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

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Artificial-Intelligence-Enabled Intelligent 6G Networks

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Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

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Survey of Model-Based Reinforcement Learning: Applications on Robotics

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An application framework of digital twin and its case study

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Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

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Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance

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Industrial IoT in 5G environment towards smart manufacturing

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Digital Twin for Intelligent Context-Aware IoT Healthcare Systems

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Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry

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A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

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Digital Twin for 5G and Beyond

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Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

Morocho-Cayamcela, M. E., Lee, H., & Lim, W. (2019) · IEEE Access · doi:10.1109/access.2019.2942390 · Cited by 421 · see citing works

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

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Recent Advances in Artificial Immune Systems: Models and Applications

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Industrial Communication Systems and Their Future Challenges: Next-Generation Ethernet, IIoT, and 5G

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Industry 4.0: Industrial Internet of Things (IIOT)

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Reducing Offloading Latency for Digital Twin Edge Networks in 6G

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Population size in Particle Swarm Optimization

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On the Integration of Agents and Digital Twins in Healthcare

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Development and operation of Digital Twins for technical systems and services

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A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing

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Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation

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A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

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Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks

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Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source

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Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

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Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system

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Recent advances on industrial data-driven energy savings: Digital twins and infrastructures

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Digital twin modeling method based on biomimicry for machining aerospace components

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Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends

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Digital twins for collaborative robots: A case study in human-robot interaction

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Future (post-COVID) digital, smart and sustainable cities in the wake of 6G: Digital twins, immersive realities and new urban economies

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Deep learning for hybrid 5G services in mobile edge computing systems: learn from a digital twin

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A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

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Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks

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Introductory overview: Optimization using evolutionary algorithms and other metaheuristics

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From Surveillance to Digital Twin: Challenges and Recent Advances of Signal Processing for Industrial Internet of Things

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Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision

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Digital twin-based smart assembly process design and application framework for complex products and its case study

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Computing power network: The architecture of convergence of computing and networking towards 6G requirement

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A Survey of Computational Intelligence for 6G: Key Technologies, Applications and Trends

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Harris hawks optimization: a comprehensive review of recent variants and applications

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Scaling digital twins from the artisanal to the industrial

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A Requirements Driven Digital Twin Framework: Specification and Opportunities

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Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization

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Exploring the role of digital twin for asset lifecycle management

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Data-Model Combined Driven Digital Twin of Life-Cycle Rolling Bearing

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Digital twin–driven aero-engine intelligent predictive maintenance

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The Road beyond 5G: A Vision and Insight of the Key Technologies

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A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

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A Blockchain-Based Approach for the Creation of Digital Twins

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Real-time machining data application and service based on IMT digital twin

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Online condition monitoring of floating wind turbines drivetrain by means of digital twin

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Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

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A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

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A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

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An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities

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Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

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Toward Self-Learning Edge Intelligence in 6G

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New Paradigm of Data-Driven Smart Customisation through Digital Twin

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Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing

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Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything

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Big Data Analytics in Industrial IoT Using a Concentric Computing Model

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Designing CPS/IoT applications for smart buildings and cities

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A digital twin for production planning based on cyber-physical systems: A Case Study for a Cyber-Physical System-Based Creation of a Digital Twin

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From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0

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Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

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Cyber Resilience in Healthcare Digital Twin on Lung Cancer

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