Multi-Sensor HR Mass Data Models toward Multi-Temporal-Layered Digital Twins: Maintenance, Design and XR Informed Tour of the Multi-Stratified Appian Way (PAAA)
- DOI
- 10.3390/s23208556
- Published
- 2023-10-18
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s23208556,
title = {Multi-Sensor HR Mass Data Models toward Multi-Temporal-Layered Digital Twins: Maintenance, Design and XR Informed Tour of the Multi-Stratified Appian Way (PAAA)},
author = {Raffaella Brumana and Simone Quilici and Luigi Oliva and Mattia Previtali and Marzia Gabriele and Chiara Stanga},
year = {2023},
journal = {Sensors},
doi = {10.3390/s23208556},
url = {https://doi.org/10.3390/s23208556}
}RIS
TY - JOUR TI - Multi-Sensor HR Mass Data Models toward Multi-Temporal-Layered Digital Twins: Maintenance, Design and XR Informed Tour of the Multi-Stratified Appian Way (PAAA) AU - Raffaella Brumana AU - Simone Quilici AU - Luigi Oliva AU - Mattia Previtali AU - Marzia Gabriele AU - Chiara Stanga PY - 2023 JO - Sensors DO - 10.3390/s23208556 UR - https://doi.org/10.3390/s23208556 ER -
APA
Brumana, R., Quilici, S., Oliva, L., Previtali, M., Gabriele, M., & Stanga, C. (2023). Multi-Sensor HR Mass Data Models toward Multi-Temporal-Layered Digital Twins: Maintenance, Design and XR Informed Tour of the Multi-Stratified Appian Way (PAAA). Sensors. https://doi.org/10.3390/s23208556
Source records
- crossref · retrieved 2026-09-26T20:44:49.175Z