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 and Engineering, 2022.

Bibliografische gegevens
Hoofdauteurs:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Andere auteurs:	Alam, Md. Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Federated learning Privacy Medical informatics Cognitive science
Online toegang:	http://hdl.handle.net/10361/21851

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