Yongzhang Zhou
Papers
1
Total Citations
36
H-Index
1
About
Yongzhang Zhou is a leading researcher in environmental monitoring and artificial intelligence, with a focus on marine pollution detection and mitigation. His most impactful work centers on the application of deep learning to real-time ocean monitoring, particularly through the development of advanced computer vision models. Zhou’s major contribution is the pioneering use of YOLOv12—a state-of-the-art object detection algorithm—for the automated identification of marine litter in oceanic environments. His 2025 paper, "Toward smart ocean monitoring: Real-time detection of marine litter using YOLOv12 in support of pollution mitigation," has already garnered 36 citations, highlighting its rapid influence in the field. This work demonstrates a novel integration of AI with environmental science, enabling efficient, scalable surveillance of plastic debris and other pollutants. Zhou’s research not only advances technical capabilities in real-time image analysis but also provides actionable tools for policymakers and conservationists, bridging the gap between computational innovation and ecological sustainability. His achievements underscore a commitment to leveraging cutting-edge technology for pressing global environmental challenges.
Research Focus
Key Achievements
Top Papers
- 1