A dispersive processing of borehole guided wave data using multi-task physics-informed deep learning
Abstract: Dispersive processing of borehole acoustic logging data is essential for accurate evaluation of subsurface formation velocities, which directly impact reservoir characterization and ...
We introduce MMAR, a new benchmark designed to evaluate the deep reasoning capabilities of Audio-Language Models (ALMs) across massive multi-disciplinary tasks. MMAR comprises 1,000 meticulously ...
Abstract: Applying the magnetic positioning system (MPS) in the dual-robot processing helps measure the relative pose of the two robot end effectors when there is an aluminum-alloy workpiece between ...
Purpose: The purpose of the present study was to characterize cortical hemodynamic responses during emotional face processing in preschool children with autism spectrum disorder (ASD) using functional ...
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