Enhancing the Performance and Accuracy in Real-Time Football and Player Detection Using Upgraded YOLOv5 Architecture
K Zhao - International Journal of Computational Intelligence …, 2024 - Springer
The study presents a significantly improved version of the YOLOv5 real-time object detection
model for football player recognition. The proposed technique includes feature-tuning and …
model for football player recognition. The proposed technique includes feature-tuning and …
Comparison of Four Automatic Classifiers for Cancer Cell Phenotypes Using M-Phase Features Extracted from Brightfield Microscopy Images
In our in vitro study to model and understand the regulation networks that control the live and
death of the cells, it is fundamental to quantify the contribution of each of the cancer …
death of the cells, it is fundamental to quantify the contribution of each of the cancer …