Dr. Lei Zou has recently co-authored a fascinating paper. Let's delve into the details:
FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning
Authors: Rohan Singh Wilkho, Nasir G Gharaibeh, Shi Chang, Lei Zou
This paper introduces FF-IR: a groundbreaking information retrieval system that revolutionizes flash flood research. By combining public-domain data and machine learning, FF-IR streamlines the search process, outperforming direct Google searches by over 100%. The above figure showcases the Binary Classification Machine Learning model selection procedure used in the FF-IR. Discover how FF-IR enhances flash flood risk assessments and mitigation planning, benefiting researchers and practitioners in the field of natural hazards.
Rohan Singh Wilkho, Nasir G. Gharaibeh, Shi Chang, Lei Zou, FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning,
Environmental Modelling & Software, Volume 167, 2023, 105734, ISSN 1364-8152,
Congratulations to Dr. Zou, and we look forward to hearing more achievements and publications from GEAR Lab! Gig'em!