Deep Neural Networks (DNNs) are the preferred choice for image-based machine learning applications in several domains.However, DNNs are vulnerable to adversarial attacks, that are carefully-crafted perturbations introduced on input VIT A WRINKLE CREME images to fool a DNN model.Adversarial attacks may prevent the application of DNNs in security-cri
Abstract Efforts in design and optimization of catalyst layers for polymer electrolyte fuel cells hinge on mathematical models that link electrode composition and microstructure with effective physico-chemical properties.A pivotal property of these layers and the focus of this work is the proton conductivity, which is largely determined by the morp
Abstract Background To evaluate spot-scanning proton arc therapy (SPArc) and Muslin Mouth Cloth multi-field robust optimized intensity modulated proton therapy (RO-IMPT) in treating stage III non-small-cell lung cancer (NSCLC) patients.Methods Two groups of stage IIIA or IIIB NSCLC patients (group 1: eight patients with tumor motion less than 5 mm;
There is an ongoing debate in the climate community about the benefits of convection-permitting models that explicitly resolve convection and other thermodynamical processes.An increasing number of studies show improvements in Regional Climate Model (RCM) performances when the grid spacing Muslin Mouth Cloth is increased to 1-km scale.Up until now,
This research explores the interdependence within the international logistics sector among 17 nations, utilizing a quantile-based clothing technique to assess the transmission of returns.By analyzing daily data from DataStream spanning from 1 June 2016, to 12 August 2024, we apply the Quantile Vector Autoregression framework to examine the synchron