[HTML][HTML] The problem of integrating digital twins into electro-energetic control systems

A Bohačík, R Fujdiak - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? Identification of key parameters, characteristics, and
challenges of digital twins in electric power systems. Evaluation and comparison of existing …

[HTML][HTML] Dmg2Former-AR: Vision Transformers with Adaptive Rescaling for High-Resolution Structural Visual Inspection

K Eltouny, S Sajedi, X Liang - Sensors, 2024 - mdpi.com
Developments in drones and imaging hardware technology have opened up countless
possibilities for enhancing structural condition assessments and visual inspections …

[HTML][HTML] Leveraging a Hybrid Machine Learning Approach for Compressive Strength Estimation of Roller-Compacted Concrete with Recycled Aggregates

ND Hoang - Mathematics, 2024 - mdpi.com
In recent years, the use of recycled aggregate (RA) in roller-compacted concrete (RCC) for
pavement construction has been increasingly attractive due to various environmental and …

[HTML][HTML] Exploring the Value of Digital Twins for Information Management in Highway Asset Maintenance

M Yin, VK Reja, R Wei, I Brilakis, B Sheil… - Developments in the …, 2025 - Elsevier
Highway agencies face challenges managing dispersed asset data across maintenance
processes and information systems, hindering efficient retrieval of dynamic road information …

A multi-task deep learning approach for lane-level pavement performance prediction with segment-level data

B Wang, W Zhang, Y Li - arXiv preprint arXiv:2408.01967, 2024 - arxiv.org
The elaborate pavement performance prediction is an important premise of implementing
preventive maintenance. Our survey reveals that in practice, the pavement performance is …