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Zahra Khalilzad
Zahra Khalilzad
École de Technologie Supérieure (ÉTS)
Подтвержден адрес электронной почты в домене ens.etsmtl.ca
Название
Процитировано
Процитировано
Год
Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features
Z Khalilzad, A Hasasneh, C Tadj
Diagnostics 12 (11), 2802, 2022
222022
An Entropy-Based Architecture for Detection of Sepsis in Newborn Cry Diagnostic Systems
Z Khalilzad, Y Kheddache, C Tadj
Entropy 24 (9), 1194, 2022
142022
Using CCA-Fused Cepstral Features in a Deep Learning-Based Cry Diagnostic System for Detecting an Ensemble of Pathologies in Newborns
Z Khalilzad, C Tadj
Diagnostics 13 (5), 879, 2023
122023
Use of psychoacoustic spectrum warping, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systems
Z Khalilzad, C Tadj
The Journal of the Acoustical Society of America 155 (2), 901-914, 2024
12024
Optimum location of DG units considering operation conditions
S Dolatiary, J Rahmani, Z Khalilzad
12018
Using acoustic features and features fusion in infant cry diagnostic system
Z Khalilzad
École de technologie superieure, 2023
2023
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Статьи 1–6