INTELLIGENT COMPUTING TECHNIQUE TO ANALYZE THE TWO-PHASE FLOW OF DUSTY TRIHYBRID NANOFLUID WITH CATTANEO-CHRISTOV HEAT FLUX MODEL USING LEVENBERG-MARQUARDT NEURAL-NETWORKS

This study examines the characteristics of activation energy on the two-phase flow of a tri-hybrid nanofluid with variable thermal conductivity, viscous dissipation, and NHCMBM Skimmers and Strainers using a stochastic-based Levenberg-Marquardt backpropagated neural network (LMB-NN).The Darcy Forchheimer porous media characteristics is included in

Background: One of the earliest signs of breast cancer may be the presence of mammographically detected suspicious microcalcifcations in the breast.The aim of the study was to present an open surgical ON THE RISE ROOT LIFTING MOUSSE biopsy of the mammographically detected suspicious microcalcifcations in a breast, with preoperative wire marking of

Abstract Mediterranean agroecosystems are under increasing pressures by extreme weather events, which together with poor livestock grazing management bring the already degraded lands closer to desertification.To address these challenges, we develop a decision support manual for sustainable management of degraded lands based on local plant and anima

There is an ever-growing need for optimizing efficient nano and quantum communication systems and this demand calls for more advanced optimization techniques than those that have been around for quite some time.The conventional genetic algorithms (GAs) proved to be quite helpful in general but proved to be poor when it comes to fast convergence and