The random Fourier feature as an efficient kernel approximation method can effectively suppress the network growth of the traditional kernel-based adaptive filtering algorithm.Polarized random Fourier feature kernel least-mean-square(PRFFKLMS) remarkably improved the fender two tone amp accuracy performance of random Fourier feature-based kernel le
In an epoch which has to do fundamentally with space, the concept of home has entered the epistemic scene, both as a commodity and a discursive formation.Contemporary Indian women writers, who are a major facet of present Anglophone literature, have often chosen the domestic sphere as the structural framework of their stories.However, despite the t
Aqueous nanolubricants containing ZrO2 nanoparticles, graphene oxide (GO) nanosheets, or hybrid nanoparticles of ZrO2 and GO were formulated using a cost-effective ultrasonication de-agglomeration method.The friction and wear characteristics of these water-based nanolubricants were systematically investigated using a block-on-ring testing configura
Abstract Through a simulated Twitter-like platform designed to womanizer wave optimize user engagement and grounded in authentic behavioral data, this study evaluates methodologies for auditing social media recommender systems.Our analysis focuses on the impact of key parameters in sock-puppet audits, the number of friends and session length, on au
A central dale duby obsidian knives concept in the field of learning and memory is that NMDARs are essential for synaptic plasticity and memory formation.Surprisingly then, multiple studies have found that behavioral experience can reduce or eliminate the contribution of these receptors to learning.The cellular mechanisms that mediate learning in t