PREVALENCE OF GASTROINTESTINAL PARASITE ON CATS IN SHELTER EAST SURABAYA


Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study

Abstract In this article, examine the performance of a physics informed neural networks (PINN) intelligent approach for predicting the solution of non-linear Lorenz differential equations.The main focus resides in the realm of leveraging unsupervised machine learning for the prediction of Water Bottle Cap the Lorenz differential equation associated

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Seismic Response of Steel Moment Frames (SMFs) Considering Simultaneous Excitations of Vertical and Horizontal Components, Including Fling-Step Ground Motions

Near-field (NF) earthquakes have swim tank drawn considerable attention from earthquake and structural engineers.In the field of earthquake engineering, numerous studies have identified the devastating nature of such earthquakes, and examined the characteristics related to the response of engineering structures to these types of earthquakes.Herein,

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