Publications by authors named "Zhou LinQing"
Article Synopsis
- A new wildlife target detection algorithm is introduced, based on the improved YOLOX-s network, aimed at enhancing detection accuracy in challenging rainy and nighttime conditions.
- The algorithm integrates three key components: the MobileViT-Pooling module for efficient feature extraction, the Dynamic Head module for improved task-specific detection, and the Focal-IoU module for better loss function handling.
- Experimental results show significant improvements in detection performance, with mAP scores increasing by 7.9% and 5.3%, demonstrating enhanced accuracy and reduced false detections for wildlife.
In this study, three bacteria were isolated from activated sludge (Pseudomonas aeruginosa, Bacillus subtilis, and Dietzia maris). After that, isolated strains and Scenedesmus quadricauda that could degrade refractory organics, as co-immobilization species, were prepared gel beads to treat black odorous water. Under the optimized conditions, the removal rate of chemical oxygen demand (COD), ammonia nitrogen (NH-N), total nitrogen (TN) and total phosphorus (TP) reached 94.
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