| 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 | 23 | 2021 |
| 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 | 16 | 2020 |
| 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 | 15 | 2021 |
| 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 | 12 | 2018 |
| 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 | 9 | 2022 |
| Gammatonegram based Pulmonary Pathologies Classification using Convolutional Neural Networks Z Neili, K Sundaraj 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD …, 2022 | 3 | 2022 |
| 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 | 1 | 2023 |
| 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 | | |
Kenneth SundarajUniversiti Teknikal Malaysia Melaka (UTeM)Verified email at utem.edu.my
