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Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

Celia Redondo-Verdú, Álvaro Belmonte-Baeza, José L. Ramón, Cristina Cachero et al. • Results in Engineering (2026)

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2026.113314

Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan

Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena et al. • Journal of Hydrology: Regional Studies (2025)

Study region: The National Highways 85 and 50, key routes of the China–Pakistan Economic Corridor (CPEC) in Balochistan, Pakistan. Study focus: Flooding is a natural disaster that is becoming increasingly frequent and severe. The National H...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102718

Research progress of automated ultrasonic imaging detection technology for complex aircraft components

CHEN Yao, XIONG Zhenghui, LUO Junwei, WANG Hanyang et al. • Journal of Aeronautical Materials (2025)

Traditional ultrasonic automated non-destructive testing is a great challenge in the inspection of aviation components with complex surfaces. Complex surfaces can interfere with the formation of the focus in the sound beam,and the waveform ...

DOAJ Open Access (DOAJ) DOI: 10.11868/j.issn.1005-5053.2024.000173

Digital Twin Technology for Prefabricated Assembly Superimposed Station Based on BIM + IoT Integration

Ling LE, Linhai LU, Xiaojun LI, Yanyun LYU et al. • Chengshi guidao jiaotong yanjiu (2026)

ObjectiveCompared with traditional concrete construction, the application of prefabricated assembly construction based on digital twin technology in urban rail transit station construction can effectively ensure component production quality...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.20240069

Adaptive Health-Aware Fast Charging Strategy Development for Preventing Lithium Plating Based on Digital Twin Model

Yongbo Bu, Guoqing Luo, Minglun Wang, Fuwu Yan • Energies (2025)

Developing smart fast charging strategies can effectively balance the charging efficiency and battery performance. The current mainstream method is to optimize fast charging protocols based on electrochemical models that quantitatively dete...

DOAJ Open Access (DOAJ) DOI: 10.3390/en18236251

Clustering TV Viewing Behavior for Digital Twin Construction Using Television Viewing History Data

Daiki Mayumi, Hiroki Matsuda, Tetsuya Yokota, Taichi Sakakibara et al. • IEEE Access (2025)

This study presents the construction of the first digital twin utilizing non-identifiable television viewing history data. As the media landscape continues to evolve, understanding viewer behavior has become increasingly crucial. By simulat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3630660

Digital Twin-based Framework for Heat Stress Calculation

I. Cárdenas-León, R. Morales-Ortega, M. Koeva, F. Atún et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

According to the KNMI Klimaatsignaal’21, the average surface temperature in The Netherlands has increased by 2.3°C between 1901 and 2020. Moreover, The Netherlands is also experiencing more frequent and intense heatwaves. Urban de...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-annals-X-4-2024-67-2024

Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis

Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li • Journal of Marine Science and Engineering (2025)

Offshore wind turbines are prone to structural damage over time due to environmental factors, which increases operational costs and the risk of accidents. Early detection of structural damage through monitoring systems can help reduce maint...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse13040629

Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies

A. I. Sukhorukov, E. A. Zakharova, E. V. Shvetsov • Вестник Российского экономического университета имени Г. В. Плеханова (2024)

The article analyzes modeling of investment-construction company work from graph models to digital analogues. Such analysis is necessary in order to build economically grounded twin of the investment-construction company. The need to use ad...

DOAJ Open Access (DOAJ) DOI: 10.21686/2413-2829-2024-6-153-162

A review of digital twins and their application in cybersecurity based on artificial intelligence

Mohammadhossein Homaei, Óscar Mogollón Gutiérrez, José Carlos Sancho Núñez, Mar Ávila et al. • Artificial Intelligence Review (2024)

Abstract The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjuncti...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10462-024-10805-3

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

Nisitha Padmawansa, Kosala Gunawardane, Samaneh Madanian, Amanullah Maung Than Oo • Energies (2023)

Globally, renewable energy-based power generation is experiencing exponential growth due to concerns over the environmental impacts of traditional power generation methods. Microgrids (MGs) are commonly employed to integrate renewable sourc...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16124540

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao et al. • ITM Web of Conferences (2025)

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...

DOAJ Open Access (DOAJ) DOI: 10.1051/itmconf/20257605012