This study investigates the use of deep learning techniques for building a generalized surrogate model that can accurately and very efficiently predict antenna performance parameters.Notably, we focus on applications where a substantial amount of simulation time is required and prior data is available for deep learning use.Specifically, for these a
Abstract We study the clustering of galaxies in generalized uncertainty principle (GUP) modified Newtonian potential.We compute the corrected N-particle partition function which leads to the modified equations of state.The GUP corrected clustering VITAMIN K2 parameter is compared with the original clustering parameter.An investigation of the distri
Abstract: This study aims to develop a circulation system module based on hematological studies of T2DM rats.The module is developed based on the adaptation of the ADDIE developmental model.A module that has been developed then went through validation which is material aspect and teaching materials aspect.Practical tests were carried out by an expe