Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
主要な著者: | Ahasan, Md. Mubtasim, Fahim, Mohammad, Mazumder, Himadri, Fatema, Nur E, Rahman, Sheikh Mustafizur |
---|---|
その他の著者: | Noor, Jannatun |
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
Brac University
2022
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/16780 |
類似資料
-
Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
著者:: Ahmed, Syed Istiaque, 等
出版事項: (2024) -
Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
著者:: Arafat, Sheikh Mohammad, 等
出版事項: (2021) -
Classification of peripheral blood cell images using deep learning
著者:: Aadi, Oyshik Ahmed, 等
出版事項: (2024) -
A modern technique to detect potholes by Computer Vision and Deep Learning
著者:: Saif, Muntasir Mahmud, 等
出版事項: (2023) -
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
著者:: Hasan, M. M. Kamrul, 等
出版事項: (2022)