Adedolapo Ogungbire Source Confirmed

OverviewAI-generated summary

Adedolapo Ogungbire's research focuses on the application of machine learning techniques, particularly in the area of computer vision for real-time object detection and violation detection. Their work includes a comprehensive review of hyperparameter tuning methods in machine learning. A recent publication details the use of YOLOv5 and ensemble learning for real-time helmet violation detection. Ogungbire has a h-index of 2 and has authored 2 publications with 116 citations. They have collaborated with Kwadwo Amankwah-Nkyi and Vuban Chowdhury, both from the University of Arkansas at Fayetteville, on shared publications.

Metrics

• h-index: 2
• Publications: 2
• Citations: 116