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

Support-vector networks

Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421

The WEKA data mining software: an update

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750

TensorFlow: A system for large-scale machine learningPreprint

Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al. (2016) · arXiv (Cornell University) · doi:10.5555/3026877.3026899 · Cited by 16,548

Caffe: Convolutional Architecture for Fast Feature Embedding

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077

Identity mappings in deep residual networks

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46493-0_38 · Cited by 10,741

Playing Atari with Deep Reinforcement Learning

Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013) · arXiv · doi:10.48550/arxiv.1312.5602 · Cited by 9,471

An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression

Altman, N. (1992) · The American Statistician · doi:10.1080/00031305.1992.10475879 · Cited by 5,657

Fuzzy logic in control systems: fuzzy logic controller. I

Lee, C. C. (1990) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.52551 · Cited by 5,630

Extreme Learning Machine for Regression and Multiclass Classification

Huang, G.-B., Zhou, H., Ding, X., & Zhang, R. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2168604 · Cited by 5,575

Systematic Literature Reviews in Software Engineering—A Systematic Literature Review

Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.009 · Cited by 4,537

Contrasting Capabilities: A Comparative Analysis of Simulation and Digital Twin Technologies

Wooley, A., & Silva, D. F. (2024) · Simulation foundations, methods and applications · doi:10.1007/978-3-031-69107-2_2 · Cited by 7

Revolutionizing bridge rehabilitation through artificial intelligence: a comprehensive review and future directions

Ouhmida, S., Abdelali, H. M., & Lamdouar, N. (2025) · Asian Journal of Civil Engineering · doi:10.1007/s42107-025-01322-x · Cited by 5

WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization

Singh, S. K., Comşa, I.-S., Trestian, R., Çakır, L. V., Singh, R., Kaushik, A., Canberk, B., Shah, P., Kumbhani, B., & Darshi, S. (2025) · IEEE Communications Standards Magazine · doi:10.1109/mcomstd.2025.3575511 · Cited by 5

Reaching new frontiers in nanoelectronics through artificial intelligence

Sivasubramani, S., & Prodromakis, T. (2025) · Frontiers in Nanotechnology · doi:10.3389/fnano.2025.1627210 · Cited by 8

Kecerdasan Buatan dan Big Data dalam Industri Manufaktur: Sebuah Tinjauan Sistematis

Siska, M., Siregar, I., Saputra, A., Juliana, M., & Afifudin, M. T. (2023) · Nusantara Technology and Engineering Review · doi:10.55732/nter.v1i1.1119 · Cited by 21

Conceptualization of Digital Twins in an Education Services Environment: A Straw Man Proposal

Sylvester, A., Mines, R., David, R., & Campbell‐Meier, J. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.687 · Cited by 5

Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction

Liu, J., Huang, I., Anand, A., Chang, P.-H., & Huang, Y. (2024) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw62533.2024.00072 · Cited by 5

A Review of AI-Driven Digital Twin Frameworks for Cardiovascular Disease Diagnosis and Management

Narigina, M., Romānovs, A., & Merkuryev, Y. (2024) · International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS) · doi:10.1109/itms64072.2024.10741948 · Cited by 5

Design and Simulation of AI-Enabled Digital Twin Model for Smart Industry 4.0

Kabir, M. H., Chowdhury, J. A., Fahim, I. M., Hasan, M. N., Hasnat, A., & Mahdi, A. J. (2023) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-10-16235 · Cited by 5

Optimizing Healthcare Operations With Big Data and AI

Dubey, K., Esnaashariyeh, A., Nahak, K., Hodade, D. N., Shrivastava, K., & Jorvekar, G. N. (2023) · International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) · doi:10.1109/icaiihi57871.2023.10489119 · Cited by 6

Computational fluid dynamics and digital twins for wind turbines: A review

Cockcroft, R., & Thornber, B. (2026) · Applied Energy · doi:10.1016/j.apenergy.2026.127890 · Cited by 4

Digital twins in nuclear science and Engineering: Bridging AI, Real-Time Data, and physical systems

Arhouni, F. E., Abdo, M. A. S., Ouakkas, S., & Boukhair, A. (2026) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2026.112469 · Cited by 4

Digital Twin Based Definition (DTBD) Modeling Technology for Product Life Cycle Management and Optimization

Che, Z., Peng, C., & Zhang, Z. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-17629-6_60 · Cited by 4

A Data-Driven BIM Framework for Digital Twin Integration with ISO 23247-Compliant Automation in Construction

Aydın, M. (2025) · Gazi University Journal of Science Part A Engineering and Innovation · doi:10.54287/gujsa.1750405 · Cited by 4

Physics-Guided Machine Learning with Flowing Material Balance Integration: A Novel Approach for Reliable Production Forecasting and Well Performance Analytics

Motaei, E., Ganat, T. A.-A., & Nguyen, H. T. (2026) · Energies · doi:10.3390/en19092022 · Cited by 4

Fault diagnosis and predictive maintenance of electric vehicle powertrain using artificial intelligence techniques: A review

Kumar, M. P., Velpula, S., & Saiprakash, C. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.110857 · Cited by 8

Time Series Based Forecasting Methods in Production Systems: A Systematic Literature Review

Hartner, R., & Mezhuyev, V. (2022) · International Journal of Industrial Engineering and Management · doi:10.24867/ijiem-2022-2-306 · Cited by 5

Hybrid Production Management System in the Context of Industry 4.0

Schmid, S., & Winkler, H. (2022) · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · doi:10.1109/ieem55944.2022.9990000 · Cited by 4

Extension of the CCMS 2.0 maturity model towards Artificial Intelligence

Nick, G., Kő, A., Szaller, Á., Zeleny, K. É., Kádár, B., & Kovács, T. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.09.403 · Cited by 4

The Role of Digital Twins in Personalized Sleep Medicine

Alarcón, Á. S., Madrid, N. M., Seepold, R., & Ortega, J. A. (2022) · Lecture notes in bioengineering · doi:10.1007/978-3-031-16855-0_8 · Cited by 4

Web tension AI modeling and reconstruction for digital twin of roll-to-roll system

Gafurov, A. N., Kim, J., Kim, I., & Lee, T. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02488-y · Cited by 4

Privacy and security in the metaverse

Rather, A. H., Haq, I. U., & Walia, N. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-24049-2.00002-9 · Cited by 3

MaRDA FAIR materials microscopy and LIMS data working groups’ community recommendations

Taillon, J. A., Barnard, E. S., Bartolo, L. M., Chan, M. K. Y., Stach, E. A., Taheri, M. L., Brinson, L. C., & Voorhees, P. W. (2025) · MRS Bulletin · doi:10.1557/s43577-025-00882-2 · Cited by 4

A Digital Shadow for Modeling, Studying and Preventing Urban Crime

Palma-Borda, J., Guzmán, E., & Belmonte, M. (2025) · IEEE Access · doi:10.1109/access.2025.3580949 · Cited by 4

Energy Optimization

Bansal, A., Aggarwal, A. K., & Khosla, A. (2025) · doi:10.1002/9781394242139.ch14 · Cited by 4

Construct of digital theater for cross-industry BIM data fusion: A scenario-driven ontology-based framework

Ma, E., Ding, L., Wang, Y., Jiang, L., & Zhang, Q. (2025) · Building Simulation · doi:10.1007/s12273-025-1315-x · Cited by 3

TAEN: a model-constrained Tikhonov autoencoder network for forward and inverse problems

Nguyen, H. V., Bui–Thanh, T., & Dawson, C. N. (2025) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2025.118245 · Cited by 5

The Role of Data in Digital Twins: Value Creation and Interoperability

Miglietta, M., Totaro, N. G., Pellegrino, G., Corallo, A., & Gervasi, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-97772-5_16 · Cited by 4

Digital Twins and Big Data in the Metaverse: Addressing Privacy, Scalability, and Interoperability with AI and Blockchain

Li, R., Abdalla, H. B., Gheisari, M., & Rabiei‐Dastjerdi, H. (2025) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi14080318 · Cited by 3

Transparency in large language model (LLM)-powered digital human twins: the AI ethics perspective

Pigac, T. (2025) · Ai & Society · doi:10.1007/s00146-025-02617-y · Cited by 6

Virtual Commissioning and Digital Twins for Energy-Aware Industrial Electric Drive Systems

Bysko, S., Bysko, S., & Błachowicz, T. (2025) · Energies · doi:10.3390/en18205375 · Cited by 3

Real-Time Modeling of Electric Machines for Hardware-in-the-Loop Environment: A State-of-the-Art Review

Haridas, A. K., & Bilgin, B. (2025) · IEEE Access · doi:10.1109/access.2025.3645123 · Cited by 3

A digital twin framework for circular economy and operational excellence in textile manufacturing

Fareed, A. G., Petrillo, A., & Felice, F. D. (2026) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-026-17437-7 · Cited by 4

Digital Twins Across Domains: A Cross‐Industry Umbrella Review of Systematic Literature Reviews

Wooley, A., Dimson, G., & Bitencourt, J. (2026) · Systems Engineering · doi:10.1002/sys.70049 · Cited by 3

Unpacking the enabling role of digital technologies in industrial symbiosis: A novel framework on digital functions and industrial symbiosis life-cycle

Sgambaro, L., Chiaroni, D., & Urbinati, A. (2026) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2026.100995 · Cited by 3

Multi-Perspective Trust Framework for Digital Twin Systems: Architectural Design, Massive Twinning, and Stakeholder Assurance

Azzedin, F., Alhazmi, T. A., & Hammoudeh, M. (2026) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-026-11177-2 · Cited by 3

Optima: a GUI-based toolkit for developing and validating interpretable machine learning based supervised classification QSAR models

Dasgupta, I., Roy, R., & Gayen, S. (2026) · SAR and QSAR in environmental research · doi:10.1080/1062936x.2026.2649822 · Cited by 3

Exploring the scope and applications of digital twin technologies in dentistry: a scoping review

Duggal, I., Tripathi, T., & Gupta, V. (2026) · Evidence-Based Dentistry · doi:10.1038/s41432-026-01204-4 · Cited by 3

Integration of digital twin and machine learning technologies in renewable energy–hydrogen systems for next-generation sustainable energy

Mansir, I. B., & Qahtan, T. F. (2026) · Energy Sustainable Development/Energy for sustainable development · doi:10.1016/j.esd.2026.102058 · Cited by 3

Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy

Shams, M. Y., Elzeki, O. M., & Salem, H. (2023) · Studies in big data · doi:10.1007/978-3-031-29132-6_2 · Cited by 3

Implementation of Celiac Disease Detection Using a Website-based Artificial Neural Network Approach

Amalia, A., Lydia, M. S., Hardi, S. M., & Jamesie, A. B. (2023) · International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) · doi:10.1109/elticom61905.2023.10443109 · Cited by 3

Systematic Review of Recent Trends of Industry 5.0 with Assistive Technologies in Higher Education and Smart Healthcare

Thakur, N., Chouskey, P., Bansal, N., & Chopra, M. (2024) · Applied Intelligence and Informatics. · doi:10.1007/978-981-97-0914-4_16 · Cited by 3

TRIZ Patented Literature Review on Automated Guided Vehicle Technology for Systematic Innovation

Rahim, Z. B. A., & Iqbal, M. S. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-981-97-0169-8_52 · Cited by 3

Toward Intelligent IoT Endpoint Detection and Response Using Digital Twins via Firmware Emulation

Cheng, S., Lui, Y.-C., Tsai, N.-J., & Hong, B.-K. (2024) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2400070 · Cited by 3

Design for digital twins in smart manufacturing

Kumar, P., & Channi, H. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00019-1 · Cited by 3

PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework for Personalizing Experiential Learning Through Generative AI

Lin, Y.-Z., Patel, K., Alhamadah, A. H. J., Shih, B. P.-J., Redondo, M. W., Corona, D. R. V., Latibari, B. S., Pacheco, J., Salehi, S., & Satam, P. (2025) · Springer eBooks · doi:10.1007/978-3-032-01638-6_3 · Cited by 10

Leveraging Big Data Analytics for Enhanced Cybersecurity: A Comprehensive Analysis of Threat Detection, Incident Response, and SIEM Systems

Kotwal, A. P. (2024) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit2410612414 · Cited by 3

Aero-Engine Remain Useful Life Estimation via Scope-Coordinated Attention-Based Network

Liao, Z., Liu, S., Li, J., Ma, S., & Li, G. (2025) · Aerospace · doi:10.3390/aerospace12030259 · Cited by 3

Artificial Intelligence For Smart Agriculture Industry

Mulongo, N. Y. (2025) · IEEE World AI IoT Congress (AIIoT) · doi:10.1109/aiiot65859.2025.11105360 · Cited by 3

Lifetime Mechanics of Machines as Cluster of Classical Mechanics, Reliability Theory and Digital Twin Concept

Algin, V. B. (2022) · Mechanisms and machine science · doi:10.1007/978-3-030-88465-9_2 · Cited by 3

Digital Twin and Big Data in Healthcare

Callista, M., & Tjahyadi, H. (2022) · International Conference on Technology Innovation and Its Applications (ICTIIA) · doi:10.1109/ictiia54654.2022.9935847 · Cited by 3

Leverage Digital Twins Technology for Network Lifecycle Management

Wang, D., Guo, J., Ouyang, Y., Wang, S., Yang, A., Ren, Z., Ding, Y., Chen, G., Zhou, C., & Chen, D. (2022) · IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) · doi:10.1109/dtpi55838.2022.9998901 · Cited by 3

Development of Digital Twin Platform for Electric Vehicle Battery System

Utama, P. H. K., Haq, I. N., Leksono, E., Juristian, M. I., Alim, G. A., & Pradipta, J. (2023) · International Journal of Sustainable Transportation Technology · doi:10.31427/ijstt.2023.6.1.2 · Cited by 3

CNC TEZGAHLARININ DİJİTAL İKİZ MODELİ İLE KOMUT TAMAMLANMA SÜRELERİNİN TAHMİN EDİLMESİ

Cesur, E., Cesur, M. R., & Aydoğan, B. N. (2023) · International Journal of 3D Printing Technologies and Digital Industry · doi:10.46519/ij3dptdi.1215353 · Cited by 4

Proposal for the Implementation of Spatial Common Ground and Spatial AI using the SSCP (Spatial Simulation-based Cyber-Physical) Model

Miyake, Y., Toyoda, K., Kasuya, T., Hyodo, A., & Seiki, M. (2023) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc257844.2023.10293487 · Cited by 3

Machine Learning Enhanced Framework for Big Data Modeling with Application in Industry 4.0

Kazbekova, G., Ismagulova, Z., Zhussipbek, B., Abdrazakh, Y., Iskendirova, G., & Toilybayeva, N. (2024) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2024.0150332 · Cited by 5

An Intelligent Tuned Topic Modelling Questing Answering System as Job Assistant

Rani, K. P., Vidyullatha, P., & Rao, K. S. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-11160-w · Cited by 3

Research on the Development and Execution of Virtual Reality Merchandise Software Utilizing the Artificial Intelligence Deep Learning Algorithm

Qiu, X., Shi, L., & Ren, J. (2023) · International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) · doi:10.1109/iiotbdsc60298.2023.00021 · Cited by 4

Towards a Scalable Architecture for Building Digital Twins at the Edge

Mishra, S., & Alanezi, K. (2023) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3583740.3626807 · Cited by 3

Advances in the Application of Digital Twins in Smart Cities

Zhang, A., Yu, Z., Zhang, X., & Han, L. (2024) · International Conference on Educational Digitalization and Computer Science in the Guangdong-Hong Kong-Macao Greater Bay Area · doi:10.1145/3686424.3686467 · Cited by 3

Advancing bioenergy: leveraging artificial intelligence for efficient production and optimization

Adhikary, S., Sau, S., Debnath, S., & Ghosh, D. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28947-7.00010-0 · Cited by 3

High-throughput machine learning framework for predicting neurite deterioration using MetaFormer attention

Qian, K., Suarez, G. O., Nambara, T., Kanekiyo, T., & Zhang, Y. J. (2025) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2025.118003 · Cited by 6

Cybersecurity Threats Challenging the Agriculture 4.0

Mulongo, N. Y. (2025) · International Conference on Business Analytics for Technology and Security (ICBATS) · doi:10.1109/icbats66542.2025.11258238 · Cited by 3

A bibliometric analysis of the relationship between Digital Twins and Health Management: based on the Web of Science (WoS) platform

Ribeiro, A. D. O., Sabbadini, F. S., Costa, K. A., & Cruz, B. S. D. S. (2022) · Research Society and Development · doi:10.33448/rsd-v11i12.34270 · Cited by 3

Digital Twin Solution Architecture

Joshi, S. D. (2022) · Wiley eBooks · doi:10.1002/9781119842316.ch4 · Cited by 4

Digital Twin for Citywide Energy Modeling and Management

Abbasabadi, N., & Ashayeri, M. (2024) · Wiley eBooks · doi:10.1002/9781394172092.ch12 · Cited by 4

Integrating Qualitative and Quantitative Approaches: The Impact of AI Design on Consumer Perception and Buying Behavior in the FMCG Sector

Farooq, M. W., Hassan, K. H. U., & Nawaz, F. (2024) · Bulletin of Business and Economics (BBE) · doi:10.61506/01.00393 · Cited by 2

Fundamentals of Digital Twins, Modeling Approaches, and Governance

Fischer, O. J. P., Sabri, S., & Chen, Y. (2024) · Springer eBooks · doi:10.1007/978-3-031-67778-6_2 · Cited by 2

Designing socially assistive robots

Green, M., Dao, D. V., & Moyle, W. (2024) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.24010.gre · Cited by 2

Role of Artificial Intelligence in Enhancing School Digital Twins

M., N. C., Arunkumar, S., & Madesh, S. (2025) · Journal of Artificial Intelligence and Capsule Networks · doi:10.36548/jaicn.2025.2.008 · Cited by 2

Mutual Information-Enhanced NARX-NN Digital Twins for Power Electronics in Smart Grid Applications

Nalepa, R., & Najdek, K. (2025) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2025.3601021 · Cited by 2

A Comprehensive Review of Flow Assurance in the Energy Transition: Flow Loop Platforms and AI-Driven Solutions for Hydrogen, CO2, and Ammonia Transport

Mahmoud, A., AL-Dogail, A. S., & Gajbhiye, R. N. (2025) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-025-10758-x · Cited by 2

Context-aware Drift Detection for Quality-aware Data-Driven Smart City Digital Twins

Serfilippi, L., Bujari, A., & Corradi, A. (2025) · International Conference on Information Technology for Social Good (GoodIT) · doi:10.1145/3748699.3749824 · Cited by 2

Advancing Smart Construction Management: A Comprehensive Analysis of Digital Twin Applications and Challenges

Hou, Y., Elwakil, E., & Jiang, Y. J. (2026) · Journal of structural design and construction practice. · doi:10.1061/jsdccc.sceng-1953 · Cited by 2

OPTIMIZATION OF YOUTH SOCCER TRAINING UNDER MACHINE LEARNING AND AI DIGITAL TWINS TECHNOLOGY

Han, B., Deng, X., Zhang, B., & Zhang, X. (2026) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519426400403 · Cited by 2

Digital Twins Across the Asset Lifecycle: Technical, Organisational, Economic, and Regulatory Challenges

Dong, K., & Moshood, T. D. (2026) · Buildings · doi:10.3390/buildings16051084 · Cited by 2

Impact of artificial intelligence-driven digital twins and lean six sigma-assisted power system asset management on long-term investment planning

Tsegaye, S., & Sanjeevikumar, P. (2026) · Scientific Reports · doi:10.1038/s41598-026-44347-1 · Cited by 2

A Flexible Digital Twin Framework for Poultry Feed Industrial Factory

Tarek, N., El-Hefnawy, N., Abdelkader, H. M., & Abdelatey, A. (2022) · International Conference on Computer Theory and Applications (ICCTA) · doi:10.1109/iccta58027.2022.10206352 · Cited by 2

Digital Twin-Enabled Solutions for Smart City Applications

Pillai, S. V., Purandare, P., & Jain, R. (2023) · Advances in electronic government, digital divide, and regional development book series · doi:10.4018/979-8-3693-0744-1.ch002 · Cited by 2

Integration of Digital Twins and Artificial Intelligence for Classifying Cardiac Ischemia

Ammar, M., & Al-Raweshidy, H. S. (2023) · Journal on artificial intelligence · doi:10.32604/jai.2023.045199 · Cited by 2

Research on Digital Simulation Technology of Satellite-Ground Wireless Channel Based on Digital Twin

Hu, J., Hao, Q., Zhang, B., & Liu, M. (2023) · International Conference on Communication Technology and Information Technology (ICCTIT) · doi:10.1109/icctit60726.2023.10435727 · Cited by 2

Training Neural Networks in Cyber-Physical Systems using Design Space Exploration and Co-Simulation

Bernardeschi, C., Cococcioni, M., Palmieri, M., & Rossi, F. (2023) · International Conference on Electrical, Communication, and Computer Engineering (ICECCE) · doi:10.1109/icecce61019.2023.10442825 · Cited by 2

Workshop digitalisation and its effect on manufacturing operations management: a new analysis method from a data quality perspective

Li, D., & Li, Z. (2024) · Enterprise Information Systems · doi:10.1080/17517575.2024.2330076 · Cited by 2

A digital twin model construction method for UHVDC converter system

Haibin, Z., Zhang, C., Jun, L., & Zhao, D. (2024) · IEEE International Conference on Electronic Technology, Communication and Information (ICETCI) · doi:10.1109/icetci61221.2024.10594150 · Cited by 2

A big data approach to risk management and control: Cybersecurity in accounting

Halachev, P. (2024) · Periodicals of Engineering and Natural Sciences (PEN) · doi:10.21533/pen.v12.i2.39 · Cited by 2

Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm

Carlini, E., Dazzi, P., Makris, A., Mordacchini, M., Θεοδωρόπουλος, Θ., & Tserpes, K. (2024) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud62652.2024.00051 · Cited by 2

Data–driven NARX–based digital twin thread modelling of Boost converter inductance current under closed–loop output voltage control

Nalepa, R., & Najdek, K. (2024) · International Power Electronics and Motion Control Conference (EPE-PEMC) · doi:10.1109/pemc61721.2024.10726372 · Cited by 2

A Self-adaptive Digital Twin with Broad Learning System: an Example of Heat Pump

Fu, K., Song, R., Pant, P., Hamacher, T., & Perić, V. S. (2024) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope62998.2024.10863682 · Cited by 2

Research on the architecture and practice of inquiry learning model integrated with digital twin

Tao, Y., & Xie, A. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2476716 · Cited by 2

Technological Advances in AEC: AI, Machine Learning, BIM, and the Future of Sustainable Building Design in a Post-Pandemic World

Solmaz, A. Ş. (2025) · Black Sea Journal of Engineering and Science · doi:10.34248/bsengineering.1603629 · Cited by 2

Urban digital twin for resilient urban planning: Opportunities and challenges in the Global South

Pazhuhan, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33333-0.00011-9 · Cited by 4

Embracing the Opportunity of Artificial Intelligence for IT Operations in the South African Mobile Network Industry

Mulongo, N. Y. (2025) · International Conference on Business Analytics for Technology and Security (ICBATS) · doi:10.1109/icbats66542.2025.11258539 · Cited by 2

Symbolic Modeling (S-Modeling): an Introduction to Theory

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