Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure.Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation.In this

Deep learning-based malware detectors have been shown to be susceptible to adversarial malware examples, i.e.malware examples that have been deliberately manipulated in order to avoid detection.In light of the vulnerability of deep learning detectors to subtle input file modifications, we propose a practical defense against adversarial malware exam

Introduction Up to 1 in 4 pregnancies and 1 in 20 subsequent pregnancies end vegas golden knights background in miscarriage.Despite such prevalence the psychosocial effects are often unrecognised and unsupported.In the absence of any biomedical sequelae among men such marginalisation may be intensified.Men living through multiple miscarriages may a

Recent progress of self-supervised visual representation learning has achieved remarkable success on many challenging computer vision benchmarks.However, whether these techniques can be used for domain adaptation has not been explored.In this work, we propose a generic method for self-supervised domain adaptation, using object recognition and seman