Search Results for author:
Found 4 papers, 0 papers with code
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification
Biomedical image classification requires capturing of bio-informatics based on specific feature distribution.
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
Also, the best model obtained is transferred to the next generation for quick model evaluation in the NSGA-II evolutionary framework.
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
We have used the Case Western Reserve University dataset, Paderborn university dataset, and gearbox fault detection dataset to demonstrate the effectiveness of the proposed framework for the selection of the best suitable architecture capable of excellent diagnostic performance, classification accuracy almost up to 100%
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis
Therefore, the proposed method is capable of learning the new target data pattern quickly.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
