Fortunately, it has been shown that the bulk behavior of irregularly-shaped fine particles may be reproduced using a technique called coarse graining [14]. This consists of keeping some key quantities constant at the particle scale or simply using particles that are coarser and that have a ...
Fortunately, it has been shown that the bulk behavior of irregularly-shaped fine particles may be reproduced using a technique called coarse graining [14]. This consists of keeping some key quantities constant at the particle scale or simply using particles that are coarser and that have a ...
Fortunately, it has been shown that the bulk behavior of irregularly-shaped fine particles may be reproduced using a technique called coarse graining [14]. This consists of keeping some key quantities constant at the particle scale or simply using particles that are coarser and that have a ...
After the fine-tuning of the pre-trained CNN models by the whale-call training dataset, the validation dataset is used to evaluate the performance of the proposed approach. Given 16 whale pods to be classified, a one-dimensional likelihood vector with a size of 1 × 16 would be the output...
The meta-transfer learning stage fine-tunes the pre-trained model on multiple tasks by modulating its parameters. Finally, in the meta-adaptation stage, the meta-learner adapts to new tasks using a few examples beyond the known sample set and is evaluated on test data. Figure 2. Overall ...
Overall, this underscores that the BERT–GCN–Transfer Learning model, integrating BERT’s robust text representation capabilities with GCN’s (Graph Convolutional Network) advantages in graph-structured data, achieves enhanced performance through transfer learning and fine-tuning on the target dataset. (...
In the last step, the Neuromodulated Dopamine Hebbian Transfer Learning algorithm has been applied to fine-tune the weights. The Hebbian principles are used with a heterogeneous source and target datasets. Hebbian plasticity for connections can be modelled as a time-dependent quantity called Hebbian ...