Unraveling robustness of deep face anti-spoofing models against pixel attacks

Multimedia Tools and Applications - In the last few decades, deep-learning-based face verification and recognition systems have had enormous success in solving complex security problems. However,...     

Automatic detection of Moroccan coastal upwelling zones using sea surface temperature images

An efficient unsupervised method is developed for automatic segmentation of the area covered by upwelling waters in the coastal ocean of Morocco using the Sea Surface Temperature (SST) satellite images. The proposed approach first uses the two popular unsupervised clustering techniques, k-means and fuzzy c-means (FCM), to provide different possible classifications to each SST image. Then several cluster validity indices are combined in order to determine the optimal number of clusters, followed by a cluster fusion scheme, which merges consecutive clusters to produce a first segmentation of upwelling area. The region-growing algorithm is then used to filter noisy residuals and to extract the final upwelling region. The performance of our algorithm is compared to a popular algorithm used to detect upwelling regions and is validated by an oceanographer over a database of 92 SST images covering each week of the years 2006 and 2007. The results show that our proposed method outperforms the latter algorithm, in terms of segmentation accuracy and computational efficiency.     

Elaboration and Experimental Investigation of Zn-Ni-Co Spinel Ferrite Multi-doped Rare-Earth (Gd,Er, and Sm) Prepared by Coprecipitation Method

Journal of Superconductivity and Novel Magnetism - For the first time, rare-earth multi-doped Zn-Ni-Co spinel ferrite nanoparticles...     

Encoder-decoder based convolutional neural networks for image forgery detection

Multimedia Tools and Applications - Today, images editing software has greatly evolved, thanks to them that the semantic manipulation of images has become easier. On the other hand, the...