Papers
1
Total Citations
30
H-Index
1
About
Dr. Jianli Suo is a leading figure in intelligent mining and mineral processing, with a core focus on applying machine vision and artificial intelligence to industrial automation. His most influential work, "Recognition and sorting of coal and gangue based on image process and multilayer perceptron" (2021, 30 citations), addresses a critical bottleneck in coal production: the efficient separation of coal from waste rock (gangue). By developing a novel method that combines advanced image processing with a multilayer perceptron neural network, Dr. Suo solved the challenge of distinguishing materials under real-world conditions of surface pollution and similar grayscale backgrounds. This contribution directly improves cost-efficiency and productivity in mining operations. His research bridges the gap between theoretical AI models and practical, on-site industrial sorting, demonstrating a commitment to translating deep learning into tangible engineering solutions. With a growing citation impact, Dr. Suo’s work is essential reading for researchers and engineers seeking to modernize the mineral processing industry through intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1