Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework
It is crucial to differentiate between malignant and benign tissues in order to ensure that BC patients receive timely and...
transfer
A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning
Testing and analysis of few-shot fault diagnosis models under cold-start conditionsFollowing the experimental protocol, the target-domain test data are partitioned...
An efficient plant disease detection using transfer learning approach
The global human population is undergoing rapid growth, leading to substantial impacts and posing significant challenges to humanity. Among these...
Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification
The data processing, methodology, and evaluation workflow for this study are outlined in Fig. 1.Fig. 1Overview of the data processing, methodology,...
A comprehensive survey of federated transfer learning: Challenges, methods and applications
The challenges of FTL. Credit: Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong Federated Learning (FL) has gained...
“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region”
Independence and Importance of LCFsThe independence of the LCFs is essential for effective model performance. Multicollinearity was checked by calculating...
