A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis

por Naeem, Ahmad, Anees, Tayyaba, Naqvi, Rizwan Ali, Loh, Woong-Kee
Publicado 2022

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays

por Malik, Hassaan, Naeem, Ahmad, Naqvi, Rizwan Ali, Loh, Woong-Kee
Publicado 2023

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study

por Riaz, Shafia, Naeem, Ahmad, Malik, Hassaan, Naqvi, Rizwan Ali, Loh, Woong-Kee
Publicado 2023

Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans

por Malik, Hassaan, Anees, Tayyaba, Naeem, Ahmad, Naqvi, Rizwan Ali, Loh, Woong-Kee
Publicado 2023

Advances in spatial and temporal databases: 14th international symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015 proceedings

por Claramunt, Christophe, Schneider, Markus, Wong, Raymond Chi-Wing, Xiong, Li, Loh, Woong-Kee, Shahabi, Cyrus, Li, Ki-Joune
Publicado 2015