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Understanding unconventional preprocessors in deep convolutional neural networks for face identification (2019)
Journal Article

Deep convolutional neural networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architecture such as: depth of the convolutional layers, ac... Read More about Understanding unconventional preprocessors in deep convolutional neural networks for face identification.

Fast, vision-based, line-following schemes for Micro Aerial Vehicles in nuclear environments (2019)
Presentation / Conference Contribution

Many nuclear power plants are reaching the end of their economic lifetime and the decommissioning of legacy nuclear facilities is an important challenge in the next few decades. Since the radiation level in these facilities is significant, autonomous... Read More about Fast, vision-based, line-following schemes for Micro Aerial Vehicles in nuclear environments.

A comprehensive study of custom-made ceramic separators for microbial fuel cells: Towards "living" bricks (2019)
Journal Article

Towards the commercialisation of microbial fuel cell (MFC) technology, well-performing, cost-effective, and sustainable separators are being developed. Ceramic is one of the promising materials for this purpose. In this study, ceramic separators made... Read More about A comprehensive study of custom-made ceramic separators for microbial fuel cells: Towards "living" bricks.