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.

Библиографические подробности
Главные авторы:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Federated learning Privacy Medical informatics Cognitive science
Online-ссылка:	http://hdl.handle.net/10361/21851

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