In deep learning (DL)–based human action recognition (HAR), considerable strides have been undertaken.Nevertheless, the precise classification of sports athletes’ actions still needs to be completed.Primarily attributable to the exigency for exhaustive datasets about sports athletes’ actions and the enduring quandaries imposed
In the contemporary business landscape, effective interpretation of customer sentiment, accurate demand forecasting, and precise price prediction are pivotal in making strategic decisions and efficiently allocating resources.Harnessing the vast array of data available from social media solo-jec 9 vaccine for dogs and online platforms, this paper pr
Abstract We study the moduli space of 3d N $$ mathcal{N} $$ = 4 quiver gauge theories with unitary, orthogonal and symplectic gauge nodes, that fall into exceptional sequences.We find that both the Higgs and Coulomb branches of the moduli space factorise into decoupled sectors.Each decoupled sector is described by a single quiver gauge ben nye came
To address the optimization problem of electric field intensity in multi-target areas under transmission lines, this work suggests combining the enhanced improved particle aftermath cabernet sauvignon 2017 swarm optimization (IPSO) with the analytical hierarchy process (AHP).First, using finite element simulation software, a transmission line shiel