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Automated litter detection by Sample Angle Mapping (SAM). a)

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Frontiers Advancing deep learning-based detection of floating

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Hyperspectral features of polyethylene particles (20 0 0-10 0 μm

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Automatic detection and quantification of floating marine macro

Prior (red dashed lines, right y-axes) and posterior (black solid

Automatic detection of seafloor marine litter using towed camera

Umberto ANDRIOLO, PostDoc Position, PhD, University of Coimbra, Coimbra, UC, Institute for Systems Engineering and Computers (INESC)

PDF) Beach litter survey by drones: Mini-review and discussion of

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Frontiers Advancing deep learning-based detection of floating

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Umberto ANDRIOLO, PostDoc Position, PhD, University of Coimbra, Coimbra, UC, Institute for Systems Engineering and Computers (INESC)

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