Anomaly detection relies on designing a score to determine whether particular event is uncharacteristic of given background distribution. One way define use autoencoders, which rely the ability reconstruct certain types data (background) but not others (signals). In this paper, we study some challenges associated with variational such as dependence hyperparameters and metric used, in context an...

Vibration based techniques of structural damage detection using model updating method, are computationally expensive for large-scale structures. In this study, after locating precisely the eventual damage of a structure using modal strain energy based index (MSEBI), To efficiently reduce the computational cost of model updating during the optimization process of damage severity detection, the M...

In this review article the current status of particle dark matter is addressed. We discuss the main theoretical extensions of the standard model which allow to explain dark matter in terms of a (yet undiscovered) elementary particle. We then discuss the theoretical predictions for the searches of particle dark matter: direct detection in low background underground experiments and indirect detec...

I discuss the prospects of detecting the smallest dark matter bound structures present in the Milky Way by searching for the proper motion of γ-ray sources in the upcoming GLAST all sky map. I show that for dark matter particle candidates that couple to photons the detection of at least one γ-ray microhalo source with proper motion places a constraint on the couplings and mass of the dark matte...