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

Ubiquitous digital health-related data: clarification of concepts

Johannessen, E., Henriksen, A., Hartvigsen, G., Horsch, A., Årsand, E., & Johansson, J. (2022) · Linköping electronic conference proceedings · doi:10.3384/ecp187009 · Cited by 2

Microgrid Digital Twin: Implementation of Digital Twin Concept Based on Smart Grid Architectural Model (Sgam) and its Case StudyPreprint

Utama, P. H. K., Haq, I. N., Pradipta, J., Putra, A. P., & Leksono, E. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4844249 · Cited by 2

New Developments in Research Data Management - The Potential of AI

Azeroual, O., & Schöpfel, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95689-5.00253-4 · Cited by 2

A Replica for our Democracies? On Using Digital Twins to Enhance Deliberative DemocracyPreprint

Novelli, C., Sánchez–Vaquerizo, J. A., Helbing, D., Rotolo, A., & Floridi, L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5190735 · Cited by 2

Digital Twins in Large-Scale Scienti c Infrastructure Projects

Kosyakov, D. V., & Marchenko, M. A. (2023) · Supercomputing Frontiers and Innovations · doi:10.14529/jsfi230308 · Cited by 2

Digital Twins and Green Paths

Khan, A., Jhanjhi, N. Z., & Ray, S. K. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-5375-2.ch002 · Cited by 1

Enhancing visual communication through representation learning

Wei, Y., Lee, C.-W., Han, S., & Kim, A. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1368733 · Cited by 2

Exploring Innovation: Artificial Intelligence (AI) in Pharmacy

Raymond, D., Mankar, D., & Gudadhe, A. A. (2024) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict60155.2024.10544609 · Cited by 1

AI-Based Surrogate Models of Digital Twins for Industrial Processes

Lwele, E., & Shenfield, A. (2024) · IEEE Industrial Electronics and Applications Conference (IEACon) · doi:10.1109/ieacon61321.2024.10797334 · Cited by 1

Information Circularity Assistance based on extreme data

Gräßler, I., Weyrich, M., Pottebaum, J., & Kamm, S. (2025) · at - Automatisierungstechnik · doi:10.1515/auto-2024-0039 · Cited by 2

Digitalization of Test Rigs for Model Acceptance Testing of Hydraulic Machines: Gaussian-Process-Based Digital Twin of a Turbine on a Hydraulic Test Rig for Efficiency Analysis and Test Automation

Stolz, M. C., Reiterer, S. H., Reiterer, D. R., Schaffernak, G., & Guggenberger, M. (2025) · Journal of Fluids Engineering · doi:10.1115/1.4068249 · Cited by 1

BEYOND BOARDING: THE INTERSECTION OF SECURITY AND COMFORT IN THE DIGITAL TRANSFORMATION ERA

Piedade, L., Martins, I., Marques, M., & O’Neill, A. (2025) · Journal of Law and Sustainable Development · doi:10.55908/sdgs.v13i3.4355 · Cited by 1

Exploring Digital Twin Applications in Saudi Manufacturing Companies: Impediments and Opportunities

Alharthi, S., & Almaghrabi, F. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-99356-5_8 · Cited by 1

AI-Driven E-Marketing: The Future of Data-Driven Strategies and Consumer Engagement

Khamayseh, A. I. A., Yusoff, W. F. B. W., & Khudari, M. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-96631-6_2 · Cited by 1

Modern Teaching Using AR/VR Powered by the Metaverse

Chaturvedi, K., Dehankar, P., Shrivastav, A., Sankathala, S., Saraf, A. H., & Das, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2008-3.ch009 · Cited by 1

Impact of digitalization on modern economy: Trends, challenges and opportunities

Kashish, K., Gaur, A., Chahar, H., Tiwari, R., Gupta, D., & Kumar, D. (2025) · AIP conference proceedings · doi:10.1063/5.0285822 · Cited by 1

Numerical investigation of the effects of excavation on piled embankments under static loading conditions

Soomro, M. A., Xu, T., Romanov, S., Gulvanskii, V. V., Kaplun, D., & Bukhari, M. H. (2025) · Scientific Reports · doi:10.1038/s41598-025-24528-0 · Cited by 1

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Yu, S., Jang, S., Cho, Y. S., Park, S., Hwang, J. Y., Hong, S. H., Marrow, T. J., & Lee, K. T. (2025) · Advanced Materials · doi:10.1002/adma.202510559 · Cited by 1

Human-Centered Digital Twins

Kider, J. T. (2025) · Springer eBooks · doi:10.1007/978-981-95-3658-0_88 · Cited by 3

Detection of Complex Patterns and Anomalies in Power System Data

AL-Jumaili, A. H. A., Mahmood, A. T., Lateef, H. M., AL-Jumaili, H. A. S., Al-Shibly, M. A. M., Shareef, O. S. F., Madeeh, O. D., & Ali, Y. H. (2025) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr67387.2025.11291948 · Cited by 1

A model-driven approach to streamline the development of prescriptive services for digital twins

Barriga, A., Barriga, J. A., Portillo, P. A., Lozano-Tello, A., & Clemente, P. J. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.108001 · Cited by 1

Digital Twins in the Context of Ensuring Sustainable Industrial Development

Biliavska, Y., & Biliavskyi, V. (2025) · Acta Informatica Pragensia · doi:10.18267/j.aip.291 · Cited by 2

A Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data

Deng, J., Wen, G., Lei, Z., Xu, Q., Su, Y., & Zhang, Z. (2025) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.rueng-1786 · Cited by 1

Integrating AI and ML in Supply Chain Digital Twins: Bridging Potential and Foundational Research Gaps

Soykan, B., & Rabadi, G. (2025) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-032-08147-6_13 · Cited by 1

Developing an ageing adaptable emotional virtual human: an AI-based approach

Peng, Y. (2026) · Informatics for Health and Social Care · doi:10.1080/17538157.2025.2611135 · Cited by 1

Trust-Based Digital Twin Behavioural Categorisation in a Collaborative Ecosystem

Kuruppuarachchi, P. M., Rea, S., Wenning, B.-L., & McGibney, A. (2025) · IEEE International Conference on Cloud Computing Technology and Science · doi:10.1109/cloudcom67567.2025.11331495 · Cited by 1

To twin or not to twin, that is the question: evaluating the business justification for digital twins in legacy systems

Bean, T. R., Monfared, R. P., Segura-Velandia, D., & Fuller, L. (2026) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02727-w · Cited by 3

Digital Twin Applications in Agriculture: Emerging Prospects and Opportunities

Arti, Garima, Mohan, Y., & Kumar, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-5915-2_13 · Cited by 1

Normalizing flows for Bayesian parameter inference in computational mechanics

Kalogeris, I. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.114263 · Cited by 1

A Data-Based Digital Twin Model for Distributed Systems in the Field

Orimi, A. G., Hamlaoui, R., Backe, C., Briken, V., & Lachmayer, R. (2025) · IEEE Smart World Congress (SWC) · doi:10.1109/swc65939.2025.00245 · Cited by 1

Digital twin-enabled nested Q-learning for multi-layer production planning and inventory control

Liang, E., & Chang, K.-H. (2026) · International Journal of Production Economics · doi:10.1016/j.ijpe.2026.109979 · Cited by 4

Humanizing Online Learning: The Role of AI+XR-Based Virtual Tutors in Adaptive Education

Cardoso, A., de Siqueira, A. G., Martins, V. F., Neto, J. S. D. O., Eliseo, M. A., & Silveira, I. F. (2025) · Congresso Latino-Americano de Software Livre e Tecnologias Abertas (Latinoware) · doi:10.5753/latinoware.2025.16483 · Cited by 1

Digital twins in civil engineering

Peralta, P., Ahmad, M. E., Al‐Zuriqat, T., Geck, C. C., Al-Nasser, H., Dragos, K., Chmelnizkij, A., & Smarsly, K. (2026) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2026.012 · Cited by 1

Systems of Digital Twins: A Systematic Literature Review and a formal framework

Gervasi, M., Bove, L., Corallo, A., Miglietta, M., Negro, L., Pellegrino, G., Ria, F., & Visaggio, C. A. (2026) · Digital engineering. · doi:10.1016/j.dte.2026.100100 · Cited by 1

Machine Learning (ML) and Artificial Intelligence (AI) in Textile Surface Modification

Mazumder, B. C., Urmi, N. A., Mahmud, M. H., Sarkar, M. S., Mahmud, S., & Repon, M. R. (2026) · Textile science and clothing technology · doi:10.1007/978-3-032-23377-6_10 · Cited by 1

Leveraging digital technologies in E-waste management

Hariyani, D., Hariyani, P., Choudhary, S., & Mishra, S. (2026) · Environmental Management Engineering and Technology · doi:10.1016/j.jemet.2026.100007 · Cited by 1

A middleware for commissioning building digital twins

Zech, P., Zallinger, C., Pobitzer, P., Goldin, E., Hammes, S., & Pfluger, R. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.111436 · Cited by 1

Digital twins: an overview of the present with highlights of the future

Felicetti, A., & Niccolucci, F. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-43896-7.00020-0 · Cited by 1

Machine learning and AI-driven digital twins in manufacturing of advanced metal alloys and compounds: A review

Soori, M., & Behrooz Arezoo, B. (2026) · Next Materials · doi:10.1016/j.nxmate.2026.102623 · Cited by 1

How do BDA-AI capabilities drive innovation, resilience and efficiency under risk concerns? A dynamic capabilities-contingency perspective

Tan, C. N.-L., Dou, J., Liu, Y. D., & Chung, H. F. L. (2026) · Journal of Enterprise Information Management · doi:10.1108/jeim-04-2026-0628 · Cited by 1

Industry 4.0 crime scene investigation: A review and zero-trust digital forensic architecture for evidence integrity

Bhatt, H., Banduni, N., Bahuguna, R., Singh, R., Gehlot, A., Thakur, A. K., Dogra, S., & Ghubade, A. B. (2026) · Forensic Science International Reports · doi:10.1016/j.fsir.2026.100513 · Cited by 1

Digital twins for sustainable urban last-mile logistics: an expert-informed implementation roadmap

Mohammed, A., Naghshineh, B., Kandy, A. K., Alaya, A., & Siddique, A. A. (2026) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2026.101884 · Cited by 1

The Role and Application of Big Data Technology in Decision-Making Management of Colleges And Universities

Xiang, H. (2021) · International Conference on Data Science and Business Analytics (ICDSBA) · doi:10.1109/icdsba53075.2021.00038 · Cited by 1

A Geometric Similarity-based CAD Assembly Model Retrieval for Digital Twin

Li, Y., Zhang, J., & Ji, B. (2023) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case56687.2023.10260442 · Cited by 2

Mathematical Models for Digital Twins in Flexible Discrete Manufacturing

Арістова, Н. І., & Chadeev, V. M. (2023) · International Conference Management of Large-Scale System Development (MLSD) · doi:10.1109/mlsd58227.2023.10303836 · Cited by 1

Design and analysis of a 4-axis cartesian robot for unloading plastic injection machines in industrial applications

Dağdelen, Y., Akyüz, F., Feyzioğlu, A., & Toptaş, E. (2023) · Journal of Mechatronics and Artificial Intelligence in Engineering · doi:10.21595/jmai.2023.23553 · Cited by 1

IoT eHealth Big Data Analytics Based on Machine Learning

Mahdi, M. A., & Ahamad, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-6547-2_23 · Cited by 1

Automation as an Approach for Programmatic Ads in Light of the Launch of the Metaverse

Sedek, S. S. S. (2024) · Journal of Design Sciences and Applied Arts/Journal of Design Sciences and Applied Arts · doi:10.21608/jdsaa.2023.217390.1286 · Cited by 1

AI’s Evolutionary Role in Data Management and its Profound Influence on Business Outcomes

Pooja, C., Ali, W., Mookerjee, J., & Mookerjee, R. (2023) · International Journal of Computer Engineering in Research Trends · doi:10.22362/ijcert/2023/v10/i07/v10i0704 · Cited by 1

A Unified View of the Big Development, Big Challenge, and Major Trends in the Field of Bigdata in Branding

Reddy, K., Jalaja, V., Saxena, A., Ramesh, R., Ramachandran, K. K., & K, K. K. (2023) · IEEE International Conference on ICT in Business Industry & Government (ICTBIG) · doi:10.1109/ictbig59752.2023.10456249 · Cited by 1

Digital Twin for Sustainable Systems Methodology: Application in Water Network Management

Maliqi, M., Lamy, D., & Grimaud, F. (2024) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-71743-7_11 · Cited by 1

Digital twin technology for energy flexibility and saving

Avendano, I. A. C., Javan, F. D., Najafi, B., Aghaei, M., Moazami, A., & Rinaldi, F. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14070-9.00011-1 · Cited by 1

Exploring the Organizational Readiness for AI Automotive After-Sales Services: A Systematic Literature Review

Halim, N. A., Ahmad, N., & Yazid, M. H. A. (2024) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v14-i12/24092 · Cited by 3

[Vision Paper] Digital Twin System – From Frameworks to a Comprehensive System

Hildebrandt, J., Habich, D., & Lehner, W. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825419 · Cited by 1

Model-Driven Software Engineering to Foster the Adoption of Digital Twins

Barriga, A. (2025) · Congresso Ibero-Americano em Engenharia de Software (CIbSE) · doi:10.5753/cibse.2025.35312 · Cited by 1

JEMA-SINDYc: End-to-end Control using Joint Embedding Multimodal Alignment in Directed Energy Deposition

Sousa, J., Brandau, B., Hemschik, R., Darabi, R., Sousa, A. J., Reis, L. P., Brueckner, F. P., & Reis, A. (2025) · Additive manufacturing · doi:10.1016/j.addma.2025.104888 · Cited by 1

Artificial Intelligence (AI) in Cultural and Historical Literary Analysis

Satpathy, I., Nayak, A., & Jain, V. K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1057-2.ch009 · Cited by 1

Algorithm for Validation of the Radar Digital Twin Based on the Results of Diagnostic Control Data Processing

Timoshenko, A., Perlov, A. Y., Khodataev, N. A., Михайлович, К. А., & Lvov, K. V. (2022) · International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) · doi:10.1109/summa57301.2022.9973440 · Cited by 1

Potentials and Challenges of Digital Twin: Toward Industry 4.0

Baranidharan, M., Kalel, D., & Singh, R. R. (2022) · Wiley eBooks · doi:10.1002/9781119872061.ch6 · Cited by 1

Digital Twin System for Intelligent Construction of Large Span Assembly Type Steel Bridge

Sucheta (2024) · Wiley eBooks · doi:10.1002/9781394257003.ch5 · Cited by 1

Efficient IoT Solutions for Remote Health Monitoring

Vijayakumar, S., Hameed, N. S., Tiwari, K. S., Sundarraj, A. A., Gopinath, N., & Buckingham, L. R. (2025) · Wiley eBooks · doi:10.1002/9781394305490.ch12 · Cited by 1

Role of AI and Digital Twin for Smart Transportation

Ritesh Gangasingh, B. A. I. S., KUMAR, V., Joshi, M. C., SHARMA, J., BORKAR, P., & Hossain, M. A. (2025) · Wiley eBooks · doi:10.1002/9781394411337.ch7 · Cited by 1

AI Explained in Easy-to-Understand Way

Волков, Д. (2023) · Открытые системы СУБД · doi:10.51793/os.2023.14.44.001

Design and Validation of a Digital Twin to the Intelligent Well Completion

Menezes, D. S. E., Lins, I. D., & Moura, M. D. C. (2023) · European Safety and Reliability Conference (ESREL) · doi:10.3850/978-981-18-8071-1_p669-cd

Advancing process analytics for agri-food supply chains

Keates, O. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.244720

Garantia da segurança crítica em sistemas complexos: uma abordagem orientada a riscos para o gerenciamento de recursos de comunicação em Sistemas de Transporte. Inteligentes Cooperativos (C-ITS).

Vismari, L. F. (2023) · doi:10.11606/t.3.2023.tde-30112023-084051

Digital Twin for Construction Sites: Concept, Definition, Steps

Omari, M. A., Eslahi, M., Meouche, R. E., Ducoulombier, L., & Guillaumat, L. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-54376-0_17

Smart and efficient sensor networks operation for 5G and beyond ecosystems

Sayed, A. E. (2024) · doi:10.5821/dissertation-2117-405945

Big Image Data 15Vs Model for Intelligent Data Ocean of Multimedia ThingsPreprint

Mahabadi, A., & Abdolazimi, F. (2024) · Research Square · doi:10.21203/rs.3.rs-4353622/v1

Überlegungen zur Konzeption eines smarten Produktionsleitsystems

Schmid, S., & Winkler, H. (2024) · Springer eBooks · doi:10.1007/978-3-658-36874-6_17-1

Modelling a Process Shop Floor Digital Twin in Smart Manufacturing: A Case StudyPreprint

Buccoliero, F. O., Corallo, A., Crespino, A. M., Vecchio, V. D., Lezzi, M., & Spennato, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4848556

ДОСЛІДЖЕННЯ ВПЛИВУ АНАЛІТИКИ ВЕЛИКИХ ДАНИХ НА ЕФЕКТИВНІСТЬ БІЗНЕСУ В ЦИФРОВУ ЕПОХУ

Нестеров, В. (2024) · INFORMATION TECHNOLOGY AND SOCIETY · doi:10.32689/maup.it.2024.1.10

An optimization strategy of distributed metadata based on cache

Gao, X., Lin, X., & Liu, R. (2024) · IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) · doi:10.1109/imcec59810.2024.10575771

Defending the Digital Twin Machine Learning Strategies for 6G Protection

Tataje, F. A. O., Alanya-Beltrán, J., Ruiz-Salazar, J., Paucar-Elera, J., Mendez-Escobar, M., & Alvarez-Huertas, F. (2024) · Advances in wireless technologies and telecommunication book series · doi:10.4018/979-8-3693-2931-3.ch011

Improving Access Control in Heterogeneous Industrial Big Data Systems

Poltavtseva, M. A., & Aleksandrova, E. B. (2024) · International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon61949.2024.10694121

Boundary-Points-Based Reduction Support Vector Machine

Ye, L., & Ling, P. (2024) · IEEE International Conference on Image Processing and Computer Applications (ICIPCA) · doi:10.1109/icipca61593.2024.10708976

Applications of Big Data Analytics and Artificial Intelligence in Medical Domain: A Survey

Azeroual, A., Nsiri, B., Thami, R. O. H., & Benaji, B. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-5035-1_39

Simulation and Optimization in the Tasks of Organizing Labor Resources in the Context of Digitalization

Арістова, Н. І., Chadeev, V. M., & Iakimova, O. (2024) · International Conference Management of Large-Scale System Development (MLSD) · doi:10.1109/mlsd61779.2024.10739618

Research on Algorithm Assisted Fault Detection and Diagnosis in Aircraft Engine Air Systems

Jie, W. (2024) · IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE) · doi:10.1109/iciscae62304.2024.10761943

ARCHITECTING ETHICAL MACHINE LEARNING INFRASTRUCTURE: A SYSTEMATIC FRAMEWORK FOR TECHNICAL IMPLEMENTATION

Singh, A. K. (2024) · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · doi:10.34218/ijcet_15_06_160

Digital Twin Framework for the Operations of Baggage Handling System and Aeronautical Ground Lightings: A Case Study of Soekarno-Hatta International Airport

Berawi, M. A., Sari, M., Setiawan, H., Susilowati, S. I., Rahman, H. Z., Miraj, P., Gunawan, G., & Susantono, B. (2024) · Lecture notes in civil engineering · doi:10.1007/978-3-031-70431-4_61

Concept and application of Digital Twins for oil-immersed power transformers

Radoman, U., Kilibarda, F., Kartalović, N. M., Miladinović, N., Polužanski, V., Vasović, V., Pejović, B., Zigic, A. D., & Lukić, J. M. (2024) · Zbornik radova Elektrotehnicki institut Nikola Tesla · doi:10.5937/zeint34-54654

Towards realization of Digital Twins for systems with coupled behavior

Gil, S. (2024) · doi:10.7146/aul.545

Advances and Challenges of Digital Twin Technology in Urban Drainage Systems

葛, 水. (2025) · Sustainable Development · doi:10.12677/sd.2025.151007

BIG DATA ENGINEERING FOR TELECOMMUNICATIONS: NETWORK OPTIMIZATION AND CUSTOMER EXPERIENCE

Bonthu, J. M. R. (2025) · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · doi:10.34218/ijcet_16_01_052

Roles of Big Data and AI in Manufacturing

Ahmed, H. E., & Mubarak, M. A. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-71649-2_1

Technical Challenges in Scaling Data Infrastructure

Divyeshkumar, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8472-5.ch004 · Cited by 1

Towards Resilient Construction Logistics with Digital Twins

Massah, F. (2025) · Lecture notes in business information processing · doi:10.1007/978-3-031-79059-1_20

An Innovative Digital Twin of Integrated Transportation and Power Networks for Efficient Scheduling of Autonomous Electric Vehicles

Razi, R., Ali, H., Colas, F., & François, B. (2024) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope62998.2024.10863783

WIP: A Review of Digital Twin Technology in Undergraduate Control Engineering Education: Applications, Challenges, and Future Directions

Blackwell, C., & Rocke, S. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893435

Capsule Networks and Innovation Performance in Resource-Based Firms

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