Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification

@article{Hariharan2018ImprovedBD,
  title={Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification},
  author={M. Hariharan and R. Sindhu and Vikneswaran Vijean and Haniza Yazid and Thiyagar Nadarajaw and Sazali Yaacob and Kemal Polat},
  journal={Computer methods and programs in biomedicine},
  year={2018},
  volume={155},
  pages={39-51}
}
BACKGROUND AND OBJECTIVE Infant cry signal carries several levels of information about the reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status (asphyxia, deaf, jaundice, premature condition and autism, etc.) of an infant and therefore suited for early diagnosis. In this work, combination of wavelet packet based features… CONTINUE READING