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cs.SD2024
Estimating the Number and Locations of Boundaries in Reverberant Environments with Deep Learning
Toros Arikan, Luca M. Chackalackal, Fatima Ahsan +4
Underwater acoustic environment estimation is a challenging but important task for remote sensing scenarios. Current estimation methods require high signal strength and a solution…
cs.LG2024
MazeNet: An Accurate, Fast, and Scalable Deep Learning Solution for Steiner Minimum Trees
Gabriel Díaz Ramos, Toros Arikan, Richard G. Baraniuk
The Obstacle Avoiding Rectilinear Steiner Minimum Tree (OARSMT) problem, which seeks the shortest interconnection of a given number of terminals in a rectilinear plane while avoidi…