Penetration testing is conducted to detect and further to fix the security problems of the Web application.During testing, tools are actively used that allows to avoid performing a large number of monotonous operations by the tester.The problem with selecting the tools is that there are a number of similar tools for testing the same class of securi
Many strategies have been proposed for underwater image enhancement.However, they are often incompatible with underwater remotely operated vehicle platforms with low memory and computational power.In this paper, we address this problem by proposing a simple yet effective multi-scale feature modulation network to achieve a better trade-off between t
Antibiotic resistance is a growing worldwide problem, which challenge current therapeutic approaches.Several predictions alerts about millions of deaths read more by 2050, with additional enormous economical losses, related to the increasing loss of activity of antibiotics.A rationale use of antibiotics is essential to fight antibiotic resistance,
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.The difference between binary classification and regression is in the target range: in binary classification, the target can have only two values (usually encoded as 0 an
Abstract Background Latina women are at increased risk for antenatal depressive disorders, which are common during pregnancy and are associated with elevated risk for poor maternal health and birth outcomes.Physical activity is a potential mechanism to reduce the likelihood of depressive symptoms.The purpose of the study was to assess whether total