A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

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This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Podrobná bibliografie
Hlavní autoři:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Další autoři:	Alam, Md. Golam Rabiul
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Feder- ated learning Biomedical engineering Neural networks (Computer science)
On-line přístup:	http://hdl.handle.net/10361/21844

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