MULTIPLE TOOTH-ROWED PARAREPTILE FROM THE EARLY PERMIAN OF OKLAHOMA


Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm

Grinding is a critical method for enhancing the quality of worm tooth surfaces, and its process optimization has long been a significant research focus; however, existing methods are insufficient in addressing the nonlinearity and complexity inherent in the grinding of complex surfaces.In this study, a three-objective optimization function tailored

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Hockey activity recognition using pre-trained deep learning model

Activity recognition Mirror in sports is often complex task resulting from the rapid dynamic interaction within players.In this paper, pre-trained VGG-16, deep learning based hockey activity recognition model has been proposed.Own hockey dataset consisting of four main activity includes free hit, goal, penalty corner and long corner was constructed

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