20 citations · 27 across the 3 of their papers we have counts for
3 papers
RipViz: Finding Rip Currents by Learning Pathline Behavior
Akila de Silva, Mona Zhao, Donald Stewart +4
We present a hybrid machine learning and flow analysis feature detection method, RipViz, to extract rip currents from stationary videos. Rip currents are dangerous strong currents…
Authoring Platform for Mobile Citizen Science Apps with Client-side ML
Fahim Hasan Khan, Akila de Silva, Gregory Dusek +2
Data collection is an integral part of any citizen science project. Given the wide variety of projects, some level of expertise or, alternatively, some guidance for novice particip…
Automated Rip Current Detection with Region based Convolutional Neural Networks
Akila de Silva, Issei Mori, Gregory Dusek +2
This paper presents a machine learning approach for the automatic identification of rip currents with breaking waves. Rip currents are dangerous fast moving currents of water that…