DEEP CONVOLUTIONAL NEURAL NETWORKS FOR AUTOMATED CHARACTERIZATION OF ARCTIC ICE-WEDGE POLYGONS IN VERY HIGH SPATIAL RESOLUTION AERIAL IMAGERY

Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

The Bronc Halter microtopography associated with ice-wedge polygons governs many aspects of Arctic ecosystem, permafrost, and hydrologic dynamics from local to regional scales owing to the linkages between microtopography and the flow and storage of water, vegetation succession, and permafrost dynamics.Wide-spread ice-wedge degradation is transform

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Higgs branches of U/SU quivers via brane locking

Abstract We solve a long standing problem on the computation of the Higgs branch H $$ mathcal{H} $$ of linear quivers with 8 supercharges and with both unitary and special unitary Camera gauge nodes.The solution uses the concept of magnetic quivers, where components of H $$ mathcal{H} $$ are described as 3d N $$ mathcal{N} $$ = 4 Coulomb branches.W

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