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 OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler the solution of non-linear Lorenz differential equations.The main focus resides in the realm of leveraging uns

During a fire incident live airborne video offers the fire brigade an additional means of information.Essential for the effective usage of the daylight and infra red video data from the UAS is that the information is fully integrated into the crisis management system of the fire brigade.This is a GIS based system in which all relevant geospatial in

This study aims to investigate the microhardness and wear properties of AA2196 alloy, one of the new generation aluminum-lithium (Al-Li) alloys, reinforced with single and dual (hybrid) ceramic composites.The produced materials were evaluated to improve their properties.The microhardness and wear tests were conducted to assess the mechanical proper

Electron-scale turbulence, whose wavelength is the electron Larmor radius, is thought to have the potential to cause stiffness in an electron temperature gradient and degrade the confinement of future burning plasma in which the electron heating by alpha particles is dominant.The dependence of electron-scale turbulence and electron heat flux on the