Though deep neural networks have achieved the state of the art performance in visual classification, recent studies have shown that they are all vulnerable to the attack of adversarial examples.In this paper, we develop improved techniques for defending against adversarial examples.First, we Incense propose an enhanced defense technique denoted Att
BackgroundIntimate partner violence and abuse (IPVA) is a pervasive societal issue that Male Performance impacts many women globally.Web-based help options are becoming increasingly available and have the ability to eliminate certain barriers in help seeking for IPVA, especially in improving accessibility.ObjectiveThis study focused on the quantita
Abstract Parasitic organisms pose a major global health threat, mainly in regions that lack advanced medical facilities.Early and accurate detection of parasitic organisms is vital to saving lives.Deep learning models have uplifted the medical sector by providing promising results in diagnosing, detecting, and classifying diseases.This ARROWROOT FL
The present work reports a comparative study on CuO and 3.0% Mn-doped CuO nanofibers (NFs) produced by the electrospinning method.State-of-the-art characterization techniques such as Electron Energy Loss Spectroscopy (EELS) and X-Ray Speaker photoelectron Spectroscopy (XPS) have been employed to determine the multivalent states and elucidate their