Capacities of Shallow Neural Network to Indicate and Clasify Airport Surface Distresses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00565948" target="_blank" >RIV/60162694:G43__/26:00565948 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061311" target="_blank" >10.1109/ICMT65201.2025.11061311</a>
Alternative languages
Result language
angličtina
Original language name
Capacities of Shallow Neural Network to Indicate and Clasify Airport Surface Distresses
Original language description
Enhancing air traffic safety at airports is crucial for reducing incidents and aircraft accidents. Incidents linked to foreign object debris are related to the emergence and progression of pavement distress. To address efficient maintenance and repairs, a pavement management system is in place at airports. This system involves visual inspections of pavements, which we recommended integrating with cutting-edge smartphone technologies mounted in a maintenance vehicle. We developed an application that utilizes data from smartphone accelerometers to assess the potential of a shallow neural network to inspect airport pavement distresses. The straightforward design of this specific neural network offers benefits such as considerable accuracy and rapid training, while not demanding significant computational resources. Conversely, data processing was reasonably complex and required substantial effort.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings
ISBN
—
ISSN
—
e-ISSN
2996-4474
Number of pages
6
Pages from-to
—
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
—
Event location
Brno, Czech Republic
Event date
May 27, 2025
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
001545807300053