Mudan Cai

About

Mudan Cai is a researcher specializing in underwater computer vision and machine learning, with a focus on enhancing image classification in challenging aquatic environments. Her most-cited work, "Underwater Image Classification Algorithm Based on Convolutional Neural Network and Optimized Extreme Learning Machine" (2022, 17 citations), addresses the critical challenge of target recognition in complex underwater settings. Cai’s major contribution lies in developing a hybrid approach that integrates convolutional neural networks with an optimized extreme learning machine, effectively filtering noise during feature extraction to improve classification accuracy in images with cluttered backgrounds or poor visibility. This work has direct implications for marine robotics, environmental monitoring, and autonomous underwater vehicle navigation. While her citation count reflects a growing impact, Cai’s research represents a meaningful step toward robust underwater perception systems. Her achievements demonstrate a commitment to solving real-world problems where traditional image processing methods fall short, making her a promising voice in the intersection of deep learning and marine technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Underwater Image Classification Algorithm Based on Convolutional Neural Network and Optimized Extreme Learning Machine

   17 citations · 2022

Key Collaborators

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