Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network.
Hongli DengYu LuTao YangZiyu LiuJiangchuan ChenPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- anomaly detection
- information fusion
- unmanned aerial vehicles
- neural network
- data fusion
- intrusion detection
- soft computing
- multi sensor
- network traffic
- path planning
- detecting anomalies
- search and rescue
- network intrusion detection
- network anomaly detection
- artificial neural networks
- anomalous behavior
- genetic algorithm
- sensor data
- pattern recognition
- fuzzy logic
- network security
- real time
- intrusion detection system
- detect anomalies
- one class support vector machines
- dynamic environments
- clustering analysis
- ground vehicles
- image processing
- object recognition
- computational intelligence
- human operators
- image interpretation
- control algorithm
- image segmentation
- multi agent
- negative selection algorithm
- hidden markov models