Muhammad Usman Raza

Robustness enhancement of CNN-based mosquito larva species classification with out of distribution-aware augmentation and ensemble learning

Accurate identification of mosquito larvae is important for vector surveillance and early control of mosquito-borne diseases, yet classification performance often degrades under blur, acquisition variability, and cross-domain shift. This thesis presents a robustness-oriented deep learning framework for mosquito-larva s...