Dezhao Kong

Dalian Minzu University

Papers

1

Total Citations

2

H-Index

1

About

Dezhao Kong is an emerging researcher in the field of computer vision and marine technology, with a primary focus on underwater object detection and deep learning applications. His most notable contribution is the development of the MSD-YOLOv5 algorithm, a specialized adaptation of the YOLOv5 framework designed to enhance the accuracy and efficiency of biological target detection in complex underwater environments. This work, published in 2023, addresses critical challenges in oceanography, including seabed exploration, maritime surveillance, and aquaculture management, by enabling automated identification of aquatic organisms and underwater structures. While his research is still in its early stages, with 2 citations to date, Kong’s work represents a promising step toward integrating artificial intelligence with marine science. His algorithm has practical implications for assisting underwater robots, improving environmental monitoring, and optimizing fish farming practices. As a researcher dedicated to bridging the gap between AI and oceanic applications, Dezhao Kong is poised to contribute further to the growing field of intelligent marine systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Underwater Biological Target Detection Algorithm Based on MSD-YOLOv5
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Dalian Minzu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago