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

  • Published:2018-03 Issue: Volume:155 Page:39-51
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Hariharan M.,Sindhu R.,Vijean Vikneswaran,Yazid Haniza,Nadarajaw Thiyagar,Yaacob Sazali,Polat Kemal

Funder

Ministry of Education, Malaysia

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference78 articles.

1. Excessive crying in infants;Halpern;J. Pediatr. (Rio J),2016

2. Responding to a crying infant–you do not learn it overnight: a phenomenological study;Kurth;Midwifery,2014

3. Infant cry reliability: acoustic homogeneity of spontaneous cries and pain-induced cries;Etz;Speech Commun.,2014

4. A study on the recognition of patterns of infant cry for the identification of deafness in just born babies with neural networks;Orozco-García;Prog. Pattern Recognit. Speech Image Anal.,2003

5. Early neurobehavioral development of preterm infants;Gabriel;Psicologia,2013
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