AWG-Detector: A machine learning tool for the accurate detection of Anomalies due to Wind Gusts (AWG) in the adaptive Altitude control unit of an Aerosonde unmanned Aerial Vehicle

M. Jamal Afridi, Ahsan Javed Awan, Javaid Iqbal. AWG-Detector: A machine learning tool for the accurate detection of Anomalies due to Wind Gusts (AWG) in the adaptive Altitude control unit of an Aerosonde unmanned Aerial Vehicle. In 10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt. pages 1125-1130, IEEE, 2010. [doi]

@inproceedings{AfridiAI10,
  title = {AWG-Detector: A machine learning tool for the accurate detection of Anomalies due to Wind Gusts (AWG) in the adaptive Altitude control unit of an Aerosonde unmanned Aerial Vehicle},
  author = {M. Jamal Afridi and Ahsan Javed Awan and Javaid Iqbal},
  year = {2010},
  doi = {10.1109/ISDA.2010.5687036},
  url = {http://dx.doi.org/10.1109/ISDA.2010.5687036},
  tags = {machine learning},
  researchr = {https://researchr.org/publication/AfridiAI10},
  cites = {0},
  citedby = {0},
  pages = {1125-1130},
  booktitle = {10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt},
  publisher = {IEEE},
}