The adversarial training technique has been shown to improve the robustness of Machine Learning and Deep Learning models to adversarial attacks in the Computer Vision field.However, the effectiveness of this approach needs to be proven in the field of Anomaly Detection on industrial environments, where adversarial training has critical limitations.

This paper presents a new method for regression model prediction in an uncertain environment.In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable.Therefore, the estimated response of the process is also t

Objective: To assess the level of hemoglobin-Hb during pregnancy before and after fortification of flours with iron.Method: A cross-sectional study with Leggings data from 12,119 pregnant women attended at a public prenatal from five macro regions of Brazil.The sample was divided into two groups: Before-fortification (birth before June/2004) and Af

Abstract Voltage-gated potassium channels (VGKCs) comprise the largest and most complex families of ion channels.Approximately 70 genes encode VGKC alpha subunits, which assemble into functional tetrameric channel complexes.These subunits can also combine to form heteromeric channels, significantly expanding the potential diversity of VGKCs.The fun

Hepatitis C virus (HCV) poses a global threat to public health.HCV envelop protein E2 is the major component on the virus envelope, which plays an important role in virus entry and morphogenesis.Here, for the first time, we affinity purified E2 complex formed in HCV-infected human hepatoma cells and ROLL ON ACTIVE DEO conducted comparative mass spe