Abstract: This paper presents a Long Short-Term Memory network-based Fluid Experiment Data-Driven model (FEDLSTM) for predicting unsteady, nonlinear hydrodynamic forces on the underwater quadruped ...
Abstract: This study addresses the issue of insufficient accuracy and real-time performance in weld seam recognition in pipeline welding automation. A machine vision based method for pipeline welding ...
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