Maria Falquez
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Maria Falquez's research focuses on the application of machine learning and deep learning techniques to analyze data from inland waterways. Her recent publications explore real-time barge detection using traffic camera imagery and the prediction of barge presence and quantity using vessel tracking data. These studies aim to leverage data analysis for improved monitoring and management of inland water transportation.
Falquez collaborates with researchers at the University of Arkansas at Fayetteville, including Sarah Hernandez, Kwadwo Amankwah-Nkyi, and Subhadipto Poddar, with whom she has co-authored multiple publications. Her work contributes to the growing field of using advanced computational methods for real-world logistical and environmental monitoring challenges.
Metrics
- h-index: 1
- Publications: 3
- Citations: 4
Selected Publications
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Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways (2024)
Collaboration Network
Top Collaborators
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
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