Segmentation conducted in the DermNet database (A) Input images of the Dermnet Dataset taken for Segmentation, (B) Segmentation Output images of the Dermnet Dataset.

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GSO‐optimized optimal kernel random forest‐based transfer learning...

Segmented output image using adaptive threshold techniques.

Segmentation conducted in the DermNet database (A) Input images of the...

Skin cancer classification using improved transfer learning model‐based random forest classifier and golden search optimization

Article

Full-text available

Nov 2023

The two complex skin cancer type is melanoma and non‐melanoma. However, the classification of skin cancer is not performed accurately due to the requirement of a huge time and the presence of noisy images. The severity level is not detected and this leads to generate serious issues. To overcome these entire issues GSO‐optimized kernel random forest...

Field detection: (A) transducer (B) monitor.

Target data: Sound print image (A–D) (A) stable state (B) creep state...

Source domain data: Gabor filtering image (A–D) (A, B) amplitude (C, D)...

Flow chart of prediction model transfer learning.

Stability prediction of muddy submarine channel slope based on sub-bottom profile acoustic images and transfer learning

Article

Full-text available

Jan 2024

This research addresses the challenging task of predicting the stability of muddy submarine channel slopes, crucial for ensuring safe port operations. Traditional methods falter due to the submerged nature of these channels, impacting navigation and infrastructure maintenance. The proposed approach integrates sub-bottom profile acoustic images and...

Segmentation conducted in the DermNet database (A) Input images of the Dermnet Dataset taken for Segmentation, (B) Segmentation Output images of the Dermnet Dataset.

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