In the Aviation industry, runways play a significant role in flight safety. Damage to the runway can cause aircraft accidents that can harm several parties. The use of labor in inspection activities tends to frequent human error. Therefore, the author makes a neural network technology tool to detect runway damage at the airport. This research aims to design a runway defect detection device used as a project-based learning media for Transportation Cadets, especially Palembang Aviation Polytechnic Cadets, so they can absorb learning material quickly and find a new learning atmosphere. This research uses the research and development method by analyzing the needs qualitatively. The results of this study indicate that the design scenario and how...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Assessing pavement condition is extremely essential in any effort to reduce future economic losses a...
One of the most challenging issues in the airline community has been the safe operations of aircraft...
This paper presents the analysis of the existing approaches to ensuring the safety of aircraft`s tak...
In this study, we designed a wind direction indicator learning media to help cadets understand how t...
There are several ways in which Foreign Object Debris (FOD) are detected on runways. Some of these m...
A system to effectively monitor and evaluate a damaged road on the quality of the road surface. This...
Airport runway foreign object detection systems can quickly and accurately detect and identify forei...
Deep learning can be used to automate aircraft maintenance visual inspection. This can help increase...
The primary objective of this thesis is to develop innovative techniques for the inspection and main...
- Aircraft is one of the famous traveling mediums to travel from one country to another. Aircraft ca...
This thesis is concerned with the development of a new measurement device for the realistic assessme...
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant pr...
Safety is the top priority at an airfield: it is the goal of any airport to provide safe, reliable s...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Assessing pavement condition is extremely essential in any effort to reduce future economic losses a...
One of the most challenging issues in the airline community has been the safe operations of aircraft...
This paper presents the analysis of the existing approaches to ensuring the safety of aircraft`s tak...
In this study, we designed a wind direction indicator learning media to help cadets understand how t...
There are several ways in which Foreign Object Debris (FOD) are detected on runways. Some of these m...
A system to effectively monitor and evaluate a damaged road on the quality of the road surface. This...
Airport runway foreign object detection systems can quickly and accurately detect and identify forei...
Deep learning can be used to automate aircraft maintenance visual inspection. This can help increase...
The primary objective of this thesis is to develop innovative techniques for the inspection and main...
- Aircraft is one of the famous traveling mediums to travel from one country to another. Aircraft ca...
This thesis is concerned with the development of a new measurement device for the realistic assessme...
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant pr...
Safety is the top priority at an airfield: it is the goal of any airport to provide safe, reliable s...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Crack detection in old buildings has been shown to be inefficient, with many technical challenges su...
Assessing pavement condition is extremely essential in any effort to reduce future economic losses a...