A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
मुख्य लेखकों: | Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin |
---|---|
अन्य लेखक: | Alam, Md. Golam Rabiul |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
Brac University
2023
|
विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/21844 |
समान संसाधन
-
A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
द्वारा: Chowdhury, Asif Hasan, और अन्य
प्रकाशित: (2023) -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
द्वारा: Ismail, Sayem Mohammad, और अन्य
प्रकाशित: (2021) -
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
द्वारा: Haque, Abid Hossain, और अन्य
प्रकाशित: (2024) -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
द्वारा: Shahriar, Hasan, और अन्य
प्रकाशित: (2022) -
Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
द्वारा: Farhan, Rafid, और अन्य
प्रकाशित: (2024)