150 related articles for article (PubMed ID: 36900023)
1. Using CCA-Fused Cepstral Features in a Deep Learning-Based Cry Diagnostic System for Detecting an Ensemble of Pathologies in Newborns.
Khalilzad Z; Tadj C
Diagnostics (Basel); 2023 Feb; 13(5):. PubMed ID: 36900023
[TBL] [Abstract][Full Text] [Related]
2. Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features.
Khalilzad Z; Hasasneh A; Tadj C
Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428865
[TBL] [Abstract][Full Text] [Related]
3. An Entropy-Based Architecture for Detection of Sepsis in Newborn Cry Diagnostic Systems.
Khalilzad Z; Kheddache Y; Tadj C
Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141080
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns.
Matikolaie FS; Tadj C
J Voice; 2022 Feb; ():. PubMed ID: 35193790
[TBL] [Abstract][Full Text] [Related]
5. Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features.
Zayed Y; Hasasneh A; Tadj C
Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37371002
[TBL] [Abstract][Full Text] [Related]
6. Cry-based infant pathology classification using GMMs.
Farsaie Alaie H; Abou-Abbas L; Tadj C
Speech Commun; 2016 Mar; 77():28-52. PubMed ID: 27524848
[TBL] [Abstract][Full Text] [Related]
7. Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks.
Semmad A; Bahoura M
Comput Biol Med; 2024 Mar; 171():108190. PubMed ID: 38387384
[TBL] [Abstract][Full Text] [Related]
8. Identification of Diseases in Newborns Using Advanced Acoustic Features of Cry Signals.
Kheddache Y; Tadj C
Biomed Signal Process Control; 2019; 50():35-44. PubMed ID: 33281921
[TBL] [Abstract][Full Text] [Related]
9. Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification.
Hariharan M; Sindhu R; Vijean V; Yazid H; Nadarajaw T; Yaacob S; Polat K
Comput Methods Programs Biomed; 2018 Mar; 155():39-51. PubMed ID: 29512503
[TBL] [Abstract][Full Text] [Related]
10. A Two-Level Speaker Identification System via Fusion of Heterogeneous Classifiers and Complementary Feature Cooperation.
Al-Qaderi M; Lahamer E; Rad A
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372334
[TBL] [Abstract][Full Text] [Related]
11. Extraction of Premature Newborns' Spontaneous Cries in the Real Context of Neonatal Intensive Care Units.
Cabon S; Met-Montot B; Porée F; Rosec O; Simon A; Carrault G
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270967
[TBL] [Abstract][Full Text] [Related]
12. An automatic method using MFCC features for sleep stage classification.
Pei W; Li Y; Wen P; Yang F; Ji X
Brain Inform; 2024 Feb; 11(1):6. PubMed ID: 38340211
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning Assisted Neonatal Cry Classification
K A; Vincent PMDR; Srinivasan K; Chang CY
Front Public Health; 2021; 9():670352. PubMed ID: 34178926
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning for Infant Cry Recognition.
Liang YC; Wijaya I; Yang MT; Cuevas Juarez JR; Chang HT
Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627847
[TBL] [Abstract][Full Text] [Related]
15. Analysis of infant cry through weighted linear prediction cepstral coefficients and Probabilistic Neural Network.
Hariharan M; Chee LS; Yaacob S
J Med Syst; 2012 Jun; 36(3):1309-15. PubMed ID: 20844933
[TBL] [Abstract][Full Text] [Related]
16. Binary particle swarm optimization for feature selection in detection of infants with hypothyroidism.
Zabidi A; Khuan LY; Mansor W; Yassin IM; Sahak R
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():2772-5. PubMed ID: 22254916
[TBL] [Abstract][Full Text] [Related]
17. Use of psychoacoustic spectrum warping, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systems.
Khalilzad Z; Tadj C
J Acoust Soc Am; 2024 Feb; 155(2):901-914. PubMed ID: 38310608
[TBL] [Abstract][Full Text] [Related]
18. Application of Pattern Recognition Techniques to the Classification of Full-Term and Preterm Infant Cry.
Orlandi S; Reyes Garcia CA; Bandini A; Donzelli G; Manfredi C
J Voice; 2016 Nov; 30(6):656-663. PubMed ID: 26474712
[TBL] [Abstract][Full Text] [Related]
19. On effective cognitive state classification using novel feature extraction strategies.
Hazra S; Pratap AA; Agrawal O; Nandy A
Cogn Neurodyn; 2021 Dec; 15(6):1125-1155. PubMed ID: 34790272
[TBL] [Abstract][Full Text] [Related]
20. Resonance frequencies behavior in pathologic cries of newborns.
Kheddache Y; Tadj C
J Voice; 2015 Jan; 29(1):1-12. PubMed ID: 25175781
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]