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Zakaria Neili
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Three resnet deep learning architectures applied in pulmonary pathologies classification
N Zakaria, F Mohamed, R Abdelghani, K Sundaraj
2021 International Conference on Artificial Intelligence for Cyber Security …, 2021
342021
VGG16, ResNet-50, and GoogLeNet deep learning architecture for breathing sound classification: a comparative study
N Zakaria, F Mohamed, R Abdelghani, K Sundaraj
2021 International Conference on Artificial Intelligence for Cyber Security …, 2021
232021
ELM and K-nn machine learning in classification of Breath sounds signals
Z Neili, M Fezari, A Redjati
Int J Electr Comput Eng 10 (4), 3528-3536, 2020
202020
Analysis of acoustic parameters from respiratory signal in copd and pneumonia patients
Z NEILI, M FEZARI, R Abdeghani
2018 International Conference on Signal, Image, Vision and their …, 2018
122018
A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI …
Z Neili, K Sundaraj
Biomedical Engineering / Biomedizinische Technik, 2022
112022
Gammatonegram based Pulmonary Pathologies Classification using Convolutional Neural Networks
Z Neili, K Sundaraj
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD …, 2022
42022
Addressing Varying Lengths in PCG Signal Classification with BiLSTM Model and MFCC Features
Z Neili, K Sundaraj
2024 8th International Conference on Image and Signal Processing and their …, 2024
12024
VGG16-based deep learning architectures for classification of lung sounds into normal, crackles, and wheezes using gammatonegrams
N Zakaria, K Sundaraj
2023 International Conference on Information Technology (ICIT), 83-88, 2023
12023
Assistance in the diagnosis and identification of pulmonary pathologies by analysis and processing of respiratory signals
Z Neili, F Mohamed, A Redjati
Badji Mokhtar Annaba University, 2021
2021
عتلا ةرازو ـ يملعلا ثحبلا و يلاعلا ميل
N Zakaria
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