Article
Bio-Inspired Hyperparameter Tuning Using Harbor Seal Whiskers Optimization for CNN-Based Skin Cancer Classification
2026-06-03
Abstract excerpt
<title>Abstract</title> <p> Catching aggressive skin cancers like melanoma early is critical for patient survival. While Convolutional Neural Networks (CNNs) are powerful tools for analyzing skin images, getting them to perform perfectly often requires tedious tuning of their internal settings. To address this, we developed a nature-inspired approach called Harbor Seal Whiskers Optimization (HSWO). This algorith...
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Identifiers and source
- Literature Corpus work
- 5651e33f-abb8-571f-bf4e-ca40c0e2c81b
- DOI
- 10.21203/rs.3.rs-9890145/v1
