This paper presents a novel computational multimodal model designed for pattern recognition of aircrafts' noise in real environments; with an 88.5% of ...

This paper presents a novel computational multimodal model designed for pattern recognition of aircrafts' noise in real environments; with an 88.5% of ...

This paper presents a novel computational multimodal model designed for pattern recognition of aircrafts' noise in real environments; with an 88.5% of ...

This abstract model consists of a multimodal model that combines different signal techniques to improve the identification level, such as octave analysis and ...

A novel computational multimodal model designed for pattern recognition of aircrafts' noise in real environments; with an 88.5% of effectiveness, ...

Computational Model for Aircraft's Takeoffs Pattern Recognition. Profile image of Edgardo Felipe Edgardo Felipe. 2008, Progress in Pattern … See full PDF

Bibliographic details on Computational Model for Aircraft's Takeoffs Pattern Recognition.

This paper presents a novel computational multimodal model designed for pattern recognition of aircrafts' noise in real environments; with an 88.5% of ...

The method effectively combines ResNet and MobileNetV2, and improves the detection accuracy of the aircraft take-off and landing runway in comparison with the ...

For aviation-accident prevention, it is necessary to develop a machine learning (ML) model that uses ADS-B technology data to detect and predict commercial ...