Enabling technologies and tools for digital twin

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

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391

Digital Twin in manufacturing: A categorical literature review and classification

Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612

Digital twin-driven product design, manufacturing and service with big data

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404

Data-driven smart manufacturing

Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.006 · Cited by 1,934

Deep learning for smart manufacturing: Methods and applications

Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.003 · Cited by 1,740

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

A Review of the Roles of Digital Twin in CPS-based Production Systems

Negri, E., Fumagalli, L., & Macchi, M. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.198 · Cited by 1,669

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019) · Engineering · doi:10.1016/j.eng.2019.01.014 · Cited by 1,589

About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474

Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability

Rebello, C. M., Jäschke, J., & Nogueira, I. B. R. (2025) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2025.03.011

Enhancing Mass Customization Using a Digital Twin: Review and Model Development

Bezuneh, M. K., Tsegaw, A. A., Woldegiorgis, B. H., Bogale, T. M., Brossog, M., & Franke, J. E. (2025) · Green energy and technology · doi:10.1007/978-3-031-77339-6_8

An Evaluation of the Effectiveness of Namibian Banks’ Competitive Strategies in Response to Technological Advancements: A Case Study

Simasiku, P., & Semente, E. M. M. (2025) · Journal of Business and Strategic Management · doi:10.47941/jbsm.2646

Digital Twins in the Metaverse and Their Application to Personalized Medicine

Malviya, R., & Rajput, S. (2025) · Wiley eBooks · doi:10.1002/9781394315680.ch5

Enabling Autonomous and Intelligent Device Functionality Through IoT Integration

Shankar, S. P., Varadam, D., Shankar, A., Ashwath, N. J. R., Mohta, R., & Prasanna, V. K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4332-7.ch002

Reimagining Construction with Digital Twin Technology

Bonniga, R. (2025) · Journal of Informatics Education and Research · doi:10.52783/jier.v5i2.2767

Reimagining Construction with Digital Twin TechnologyPreprint

Bonniga, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5270277

Data-Driven Modeling and Simulation Approach for Energy Demand Prediction of Off-Road Electric Truck

Taha, H. A., Holt, D., Mammeri, A., & Huang, W. (2025) · IEEE International Systems Conference (SysCon) · doi:10.1109/syscon64521.2025.11014787

Digital Twin Overview

Choobkar, S., & Hashemi, S. M. (2025) · SpringerBriefs in energy · doi:10.1007/978-3-031-90099-0_1

Backpack Client Selection Keeping Swarm Learning in Industrial Digital Twins for Wireless Mapping

Wei, X., Su, N., Guo, Y., & Zhao, P. (2025) · Electronics · doi:10.3390/electronics14122323

Enhancing Healthcare with Digital Twins: A Comparative Approach Using AI and AI-Enhanced Digital Twins

Mcheick, H., & Achouh, P. (2025) · doi:10.1109/serp4iot66600.2025.00008

Digital Twin Adoption in the Supply Chain Under Industry 4.0 Requirements: Multi-criteria Analysis Based on Enterprise Interoperability

Neto, B. T., Loures, E. D. F. R., Deschamps, F., & Loures, L. R. (2025) · Lecture notes in production engineering · doi:10.1007/978-3-031-77723-3_9

Interoperability Assessment Oriented Towards the Development of Digital Twin Architecture in Industrial Maintenance

Leal, R. P., Tiepolo, L. M., Loures, L. R., Deschamps, F., & Loures, E. D. F. R. (2025) · Lecture notes in production engineering · doi:10.1007/978-3-031-77723-3_10

FactoryTwin: Dual-Mode Scalable Digital Twin Software for Smart Workshop

Lei, Z., Wan, J., & Luo, F. (2025) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc65282.2025.11059458

Digital Twin Technology: A Step Towards the Future of Intelligent Electric Vehicles

Asati, P., Raghuwanshi, S., Hasan, A., Singh, P. R., Suhail, M., & Mishra, N. (2025) · World sustainability series · doi:10.1007/978-3-031-89545-6_17

ESG Digital Twin

Sinthamrongruk, T., & Harnpornchai, N. (2025) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-93319-6_34

Digital Twin Framework for Hybrid Energy Portfolio Management: Integrating Oil/Gas Assets with Renewable Energy Transition Planning

Bhalani, V. (2025) · International Journal of Computing and Engineering · doi:10.47941/ijce.2938

A Hybrid Modeling Method Enables Real-Time Prediction of Hydraulic Fracturing Wellhead Pressure

Bai, K., Sheng, M., Jiang, L., Zhang, N., Zhang, S., & Zhang, H. (2025) · SPE Journal · doi:10.2118/228411-pa

A Novel Algorithm for Digital Twin Accuracy

Mallik, B. B., & Mukherjee, A. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-82733-4_3

Integrating Drones With Digital Twins for Aerial Remote Sensing

Al‐Darraji, I., Khan, F. Q., Salim, T. T., Tsaramirsis, G., Jerbi, H., Kakei, A., & Ismaeel, A. G. (2025) · Radio Science · doi:10.1029/2023rs007700

Cancer patient digital twin

Tantray, J., Patel, A., Singh, M., Prajapati, J. B., & Prajapati, B. G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33984-4.00012-2

Development of accurate and efficient finite element analysis models for predictive design and analysis of aerospace components

Gouder, V., Varanasi, V. S. H. P., Chahuan, N., Gupta, H. M., Sharma, S. K., & Bhati, S. (2025) · AIP conference proceedings · doi:10.1063/5.0261407

Smart Manufacturing Workflow for Fuse Box Assembly and Validation: A Combined IoT, CAD, and Machine Vision Approach

Cazacu, C.-C., Nasu, T. C., Hanga, M., Cazacu, D.-A., & Coteț, C. E. (2025) · Applied Sciences · doi:10.3390/app15179375

Digitalization of free-radical polymerization

Sheka, E. F. (2025) · Advances in quantum chemistry · doi:10.1016/bs.aiq.2025.06.003

Research on the connotation and technical path of digital twin technology for aviation equipment quality

Peng, W., Xue, K., Zhang, X., Zeng, Z., Chu, J., Wang, Z., & Shen, W. (2025) · Digital Twin · doi:10.1080/27525783.2025.2545229

Digital Twin pipeline: An open and collaborative Knowledge Management System for Digital Twin implementation, benchmark and designPreprint

Floch, J.-B. L., Bricogne, M., & Durupt, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5497373

A Rapid Review on Software Reuse in Digital Twin Development Lifecycle

Botelho, L. M., Werner, C. M. L., & de Farias, C. M. (2025) · doi:10.5753/sedt.2025.14763

Fotogrametri ve Sanal Gerçeklik Uygulamalarının Peyzaj Mimarlığına Entegrasyonu

Aksoy, T., & Özlü, Ş. (2025) · Turkish Journal of Remote Sensing and GIS · doi:10.48123/rsgis.1632100

Development of an innovative tool for clamping forces evaluation in the sheet metal forming components assembly within a proposed Digital Twin methodology

Calabrese, M., Primo, T., & Prete, A. D. (2025) · International Journal of Modelling and Simulation · doi:10.1080/02286203.2025.2563984

Virtual reconstruction-based digital twin shop floor: theoretical methodology, industrial software, and applications

Ding, G., Liu, M., Chen, H., Zhang, J., Wang, S., & Xie, J. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.09.019

OPENTEAMS: AN INTEGRATED OPEN-SOURCE COLLABORATION FRAMEWORK FOR DIGITAL TWIN DEVELOPMENT AND MANAGEMENT

Raeva, A., Amirkhanova, G. A., Amirkhanov, B., Aidynuly, A., & Amirkhanov, A. (2025) · КазУТБ · doi:10.58805/kazutb.v.3.28-919

Enhancing Warehouse Efficiency and Competitiveness in Logistic through Digital Twin and Simulation Integration

Tijani, S., Farooq, U., & Alfian, G. (2025) · Engineering headway · doi:10.4028/p-lot6ht

Digital twin-enabled interactive cockpits for smart products management and testing

Rachamim, M., & Hornik, J. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1685702

Research on multi-scale modeling method for digital twin workshop with considering multi-levels, domains and dimensions

Hu, Y., Zhang, Z., Yang, X., Li, X., & Wang, Z. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-16816-w

A Systematic Review of Extended Reality in Construction Industry

Khan, A. M., Alaloul, W. S., Musarat, M. A., Talib, A. M. B., & Mustafa, S. A. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-7818-1_7

Digital Twins for Micromanufacturing

Abhilash, P. M., & Luo, X. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15449-2.00039-x

Streamlining the Usage of Digital Twin Technology in IoT Context

Benalla, A., Bekali, Y. K., & Saidi, R. (2025) · Springer eBooks · doi:10.1007/978-3-031-86837-5_18

A Digital Twin Approach for Enhancing Early Detection of Rotor Faults in Induction Motor Using Graph Convolutional Network

Badajena, H., Chakraborty, B., Routray, A., Jenamani, M., & Yuvaraj, T. P. (2025) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon58223.2025.11221112

CUP model: Purpose-driven digital twin configuration through enhanced user engagement

Vos, R., Schepers, J., Raassens, N., & Langerak, F. (2026) · Journal of business research · doi:10.1016/j.jbusres.2025.115809

Digitális iker technológia hatása a gyártórendszerekre

Bányai, K., & Kovács, L. (2023) · Production Systems and Information Engineering · doi:10.32968/psaie.2023.2.2

Blueprints of Tomorrow: The Promise of Digital Twins in Today’s World

Kumar, R., Garg, M., Soni, P., Paliwal, M., & Hadi, T. H. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815324242125010010

Longitudinal Insights into Intelligent Manufacturing Processes: Managerial Expectations vs. Actual Adoption

Závadský, J., Závadská, Z., Osvaldová, Z., & Hiadlovský, V. (2025) · Processes · doi:10.3390/pr13123799

Digital Twins and IoT: A Next-Gen Technology for Enhanced Societal Development

Anand, E., Sengupta, S., & Barman, A. (2025) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito66076.2025.11241732

Automation of Computations in Designing an Integrated Energy System Based on Its Digital Twin

Алексеевич, Б. Е., Sokolov, D. V., & Сергеевич, М. Г. (2025) · Energy Systems Research · doi:10.25729/esr.2025.03.0007

Leveraging Digital Twins for Enhanced Predictive Analytics in Smart Manufacturing

Singh, G., Sharma, M., Kaur, H. P., Shelke, N. M., & Balla, R. (2025) · doi:10.1109/cises66934.2025.11265070

ROS-based Digital Twin Framework for Operator Training in Virtual RealityPreprint

Palazhchenko, Y., Shendryk, V., & Meyer, G. F. (2025) · Research Square · doi:10.21203/rs.3.rs-7949894/v1

A Review of Resource Efficiency in Nigeria’s Complex Construction Systems Through a Digital Twin Approach

Okimi, T. O., Ramabodu, S. M., Municio, Á. M. G., & Pino, Y. (2025) · Springer eBooks · doi:10.1007/978-3-031-99204-9_10

A Model-Driven Engineering Method for the Development of Digital Twins

Carrión, E., Valderas, P., & Pastor, Ó. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-12089-2_25

POSITIVE AND NEGATIVE ASPECTS OF DIGITAL TRANSFORMATION FOR BUSINESSES: A QUALITATIVE RESEARCH

Akman, A. Z. (2025) · Journal of Research in Business · doi:10.54452/jrb.1628380

Digital Twins for Climate-Positive Cities: Integrating Local Climate Zones with Solar Energy Technologies and Nature-Based Solutions

Σκάνδαλος, Ν., Dimitriou, T., Karamanis, D., Canlı, İ., Kalkan, S., & Dino, İ. G. (2025) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc266238.2025.11293295

AI-Augmented Supply Chain Management

Ghosh, S., & Raj, R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-8841-0.ch001

Digital Twins as a Driver of Creativity

Valtonen, A., & Holopainen, M. (2026) · Springer eBooks · doi:10.1007/978-3-032-03492-2_11

The Digital Backbone of Modern Supply Chains: Enabling Technologies for Digital Twins

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_5

Digital Twin Technologies Contributing Toward the Advancement of HR 5.0: A Bibliometric Analysis

Rath, N., Sood, V., Sahai, A. K., Sood, S., Varma, R., & Rees, C. J. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83708-112-720261001

Digital Twin with Model Predictive Control for Screw Unfastening by Robots

Gbadebo, A., Altumi, F., Liang, C., & Pham, D. T. (2026) · Automation · doi:10.3390/automation7010020

DIGITAL LITERACY SKILLS OF MECHANICAL ENGINEERING EDUCATION LECTURERS: A SYSTEMATIC LITERATURE REVIEW IN THE CONTEXT OF INDUSTRY 4.0

Riyadi, A., Muhtarom, I., & Dewangga, A. W. (2025) · JURNAL DINAMIKA VOKASIONAL TEKNIK MESIN · doi:10.21831/dinamika.v10i1.79538

Predictive Modeling in Semiconductor Manufacturing: A Systematic Review of Cycle Time Prediction, Anomaly Detection, and Digital Twin Integration

Yugma, C., Wartelle, A., Dauzère‐Pérès, S., Robert, P., Roussel, R., van Heugten, J. J. R. M., & Korabi, T.-E. (2025) · Winter Simulation Conference · doi:10.1109/wsc68292.2025.11338987

Building a Digital Twin Image of a Layered Architecture for Multi-Plant Manufacturing

Iannaccone, A., Adinolfi, F., Chianetta, D., & Romano, L. (2025) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc58881.2025.11343200

GESTÃO PROATIVA DA SEGURANÇA EM BARRAGENS: O USO DA TECNOLOGIA NO MODELO INTEGRADO BIM+IOT COMO PRÁTICA DE MEDIDA COMPENSATÓRIA NA MITIGAÇÃO DA POLUIÇÃO AMBIENTAL SEVERA

NUNES, G. F. D. O., de Aquino, W. A. S. D. A. W. A. S., & Porto, M. P. M. (2026) · Seven Editora eBooks · doi:10.56238/sevened2026.001-027

A digital twin-based method for predicting the burst speed of discs

Chen, G., Wei, G., Xu, S., Zhao, H., Li, C., Ni, C., & Xu, M. (2026) · Digital Twin · doi:10.1080/27525783.2026.2618283

The Role of Digital Twin for Space and Remote Terrestrial Construction

Farsangi, E. N. (2026) · Digital twins and applications. · doi:10.1049/dgt2.70027

The Virtual World of Free-Radical PolymerizationPreprint

Федоровна, Ш. Е. (2026) · Preprints.org · doi:10.20944/preprints202602.0449.v1

Виртуальные миры науки на пути в метавселеннуюPreprint

Шека, Е. Ф. (2026) · doi:10.24108/preprints-3114426

Optimizing digital menu experiences to foster restaurant loyalty: The moderating role of system satisfaction

Hassan, S. H., Chee, L. E., & Peiwen, C. (2026) · Innovative Marketing · doi:10.21511/im.22(1).2026.09

ONTOLOGY-ENABLED DIGITAL TWIN DESIGN WITH AI-BASED DATA MANAGEMENT AND PRIVACYPRESERVING MECHANISMS FOR SECURE 6G COMMUNICATION SYSTEMS

Mummoorthy, A., Rajeswari, M., Krishnapriya, K. S., Krithika, S., Namazov, G., & Nalini, M. (2025) · Archives for Technical Sciences · doi:10.70102/afts.2025.1834.304

Impact protection efficacy of pediatric helmets: a finite element analysis based on safety standards

Huang, L., Lian, A., Luo, J., Xiao, X., & Fan, Y. (2026) · International Conference on Information Technology and Contemporary Sports (TCS) · doi:10.1117/12.3102029

Bridging Physics and Data in Metal Powder Bed Fusion with Scientific Machine Learning

Depaoli, F., Ponzio, F., Macii, E., & Cataldo, S. D. (2026) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-026-02820-8

A Physics-Informed Digital Twin for Induction Motor Fault Modeling and Validation

Badajena, H., Nutenki, R., Chakraborty, B., Jenamani, M., Routray, A., & Yuvaraj, T. P. (2025) · International Conference on Power Electronics and Energy (ICPEE) · doi:10.1109/icpee65973.2025.11410948

Digital twins for supply chain efficiency—learning from a case study in a rail-track services company

Jung, M. P., Freese, F., & Ludwig, A. (2026) · Digital Twin · doi:10.1080/27525783.2026.2634497

A Relevância dos Gêmeos Digitais na Cadeia de Suprimentos: Desafios e Oportunidades

Neto, B. T., Loures, E. D. F. R., & Deschamps, F. (2026) · Revista SODEBRAS · doi:10.29367/m0wd7310

Digital twins in biological wastewater treatment systems: challenges and opportunities

Yogendrasasidhar, D. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-31424-7.00008-3

Research on dynamic simulation system based on multi-source heterogeneous models and digital twin

Zhao, L. (2026) · Advances in Mechanical Engineering · doi:10.1177/16878132261432125

AI and Digital Twin-Driven Dynamic Optimization for Electromechanical Systems

Zhang, F. (2025) · IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE) · doi:10.1109/iceace67491.2025.11439327

A Digital Twin-Based Approach for Detection of Inter-Turn Short Circuit Faults in Induction Motors

Badajena, H., Nutenki, R., Chakraborty, B., Jenamani, M., Routray, A., & Yuvaraj, T. P. (2025) · National Power Electronics Conference (NPEC) · doi:10.1109/npec66512.2025.11450194

Formalization of the Process of Developing the Airborne Radar with a Phase Trajectory in an Acceptable Range of Values, Taking into Account the Uncertainty of Data on the Technical Readiness of Its Components and the Financing Procedure

Трундаев, И. В., Pankratov, V. A., Петровна, С. С., & Mikhailova, S. S. (2025) · Russian Aeronautics · doi:10.3103/s1068799825040221

Approches basées sur les données pour traiter les incertitudes dans les problèmes de dimensionnement de lots

Luo, D. (2023) · theses.fr (ABES) · doi:10.70675/8b85bdddzf618z4435zbe20zb38735b0ebc2

Cognitive Smart City Logistics : a new approach for sustainable last mile in the era of digitization

Liu, Y. (2022) · theses.fr (ABES) · doi:10.70675/a71a7eaez0de7z44d6za107z6cf7f3b047f6

Vers une maîtrise renforcée de la qualité dimensionnelle et des caractéristiques thermomécaniques des pièces forgées : développement d'un jumeau numérique pour asservir le pilotage en énergie d'une opération de mise en forme des matériaux

Uribe, D. (2024) · theses.fr (ABES) · doi:10.70675/cc3eee51z32b6z46e7z9fbez34b485a66fe3

Digital Twin Development for the MAP-205 SMC Assembly Mini Cell: A Use Case Approach

Bibani, Y., Ghazi, N., Chabane, A., & Benfriha, K. (2025) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet63943.2025.11472055

Understanding User Perceptions of Gardening Apps Supporting Sustainability

Wyskwarski, M., Zdonek, I., Hysa, B., & Zdonek, D. (2026) · Sustainability · doi:10.3390/su18083703

On-Line Prediction of Dry Zones during Composite Process through Digital Shadow Approach

Bot, P. L., Lauzeral, N., Fouché, O., Siddig, N. A., Lecointe, D., Abdullah, I., NIGET, F., & Marchand, C. (2026) · Key engineering materials · doi:10.4028/p-us6dno

DTwinStudio - Model Layer: A Low-code Approach for Developing Production Systems Model Digital TwinsPreprint

Villegas, L. F., Macchi, M., Li, Y., Polenghi, A., & Qi, Q. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6644484

Scenario-Based Analysis on Digital Twin: Toward a Greener Industry 4.0

Felice, F. D., Ferraro, A., & Petrillo, A. (2026) · Industrial engineering and management. · doi:10.5772/intechopen.1015576

A Path Optimization Simulation Method for Nuclear Power Plant Inspection and Maintenance Robots Based on the Integration of Bi-RRT and APF

Wu, T., Zhu, M., Liu, Z., Zhang, X., Chen, F., Zhu, X., Sun, H., Zhang, C., & Wu, J. (2026) · Algorithms · doi:10.3390/a19050337

Edge IoT Sensor Networks for Smart Buildings Energy Optimization: A Review

Misra, S., & Kohli, V. (2026) · International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC) · doi:10.1109/akgec68790.2026.11485856

RiceUltra-3DPGNAS: A novel 3D physics-guided neural architecture search framework for ultra-high performance multi-task rice classification

Singh, C., Singh, A., & Dhelim, S. (2026) · Results in Control and Optimization · doi:10.1016/j.rico.2026.100723

Creating digital twins to solve industrial enterprise challenges

Starkov, S. A., Yudina, A. V., & Danilov, N. P. (2026) · Glavnyj mekhanik (Chief Mechanic) · doi:10.33920/pro-2-2604-03

Role of AI and robotics in manufacturing

Kaur, S., & Kushwaha, S. (2026) · AIP conference proceedings · doi:10.1063/5.0329328

Role of Digital Twins in Predictive Maintenance and Cyber Resilience

Manojkumar, R., Srinivasarao, N., Konda, A. S., Uppuleti, K. P., Srinivas, T. A. S., & Srinivasulu, G. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-1498-1.ch001

Quantum Network Simulation and Emulation: A Roadmap for Quantum Internet Design

Doolittle, B., & Cubeddu, M. (2026) · International Conference on Quantum Communications, Networking, and Computing (QCNC) · doi:10.1109/qcnc69040.2026.00099

An educational digital twin framework for tool condition monitoring in CNC turning under Industry 4.0 laboratories

Lakkundi, A. R. (2026) · Information Discovery and Delivery · doi:10.1108/idd-07-2025-0175

Deep Learning and Generative Models for Stress–Strain Prediction of Bio-Inspired Composite MaterialsPreprint

Chavan, A. A. (2026) · Research Square · doi:10.21203/rs.3.rs-9467337/v1

An IoT-enabled Digital Twin for induction motors: design and performance analysis of a low-latency MQTT/wi-fi monitoring system

Phutane, P. S., Chavan, S., Mane, S., Pawar, H., & Barde, V. (2026) · Digital Twin · doi:10.1080/27525783.2026.2668126

Digital Twin-Enabled Systems for Optimizing Bio-Waste-Based Farming Models

Arya, L., Karyemsetty, N., Verma, K. K., Gupta, A. K., & Rastogi, R. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-1438-7.ch006

Enabling 6G digital twin ecosystems through middleware-based synchronization and management

PEREIRA, L. S., Almeida, A., Delicato, F. C., Batista, T., Cavalcante, E., & Motta, R. (2026) · Computer Communications · doi:10.1016/j.comcom.2026.108554

Digital Twins in Product Development

Immanual, R., Sanjana, N., Kirthika, K. M., & Sangeetha, S. (2026) · Springer eBooks · doi:10.1007/978-3-031-91500-0_32

Efektivitas model hybrid project-based learning berbasis virtual reality terhadap pemahaman digital twin kendaraan listrik

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