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

Veure altres versions (1)

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

Dades bibliogràfiques
Autors principals:	Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Altres autors:	Alam, Md. Golam Rabiul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	AI VGG19 Inception V3 DenseNet201 SWIN transformer Feder- ated learning Biomedical engineering Neural networks (Computer science)
Accés en línia:	http://hdl.handle.net/10361/21844

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