TY  - GEN
N2  - This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
DO  - 10.1007/978-3-031-07258-1
DO  - doi
AB  - This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
T1  - European Workshop on Structural Health Monitoring :EWSHM 2022.
DA  - [2023]
CY  - Cham, Switzerland :
AU  - Rizzo, Piervincenzo.
AU  - Milazzo, Alberto.
VL  - v. 254
CN  - TA656.6
PB  - Springer,
PP  - Cham, Switzerland :
PY  - [2023]
N1  - Includes author index.
ID  - 1452757
KW  - Structural health monitoring
KW  - Structural analysis (Engineering)
KW  - Automatic data collection systems
KW  - Detectors
SN  - 9783031072581
SN  - 3031072588
TI  - European Workshop on Structural Health Monitoring :EWSHM 2022.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07258-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07258-1
ER  -