The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory function and recently also for machine learning applications.In conventional digital implementations o
The magnetohydrodynamic (MHD) boundary layer flow of a nanofluid past a stretching/shrinking sheet with velocity, thermal, and solutal slip boundary conditions is studied.Numerical solutions to the governing equations were obtained using a shooting method.The skin friction coefficient and the local Sherwood number increase as the Feminine Hygiene P
Concerns about the state of decline of the North American monarch butterfly (Danaus plexippus) have prompted their consideration for listing under the Endangered Species Act.Data suggest a substantial decline (> 80%) in Speaker Cable overwintering numbers for both eastern and western monarch populations.Making an accurate status assessment is di
The supply-demand matching (SDM) strategy is an important part of the transaction Speaker mechanism design of cloud manufacturing (CMfg) platforms, which has a significant impact on the evolution trend of cloud manufacturing ecosystems (CMEs).To help CMfg platform operators choose the appropriate SDM strategy, first, the evolution process of the CM
Categorised as a directed energy deposition process, wire arc additive manufacturing (WAAM) is a Crank Right promising technology for fabricating large-scale structures and components across various industries.However, the quality of WAAM parts depends on the tool trajectory, as it affects the temperature distribution.Ideally, temperature-related i