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Processsing Simple Geometric Attributes with Autoencoders [article]

Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal
2019 arXiv   pre-print
In this paper, we propose to analyse the ability of the simplest generative network, the autoencoder, to encode and decode two simple geometric attributes : size and position.  ...  We believe that, in order to understand more complicated tasks, it is necessary to first understand how these networks process simple attributes.  ...  We have experimented with other simple geometric objects such as squares and ellipses, with similar results in an optimal code size.  ... 
arXiv:1904.07099v1 fatcat:oc7fqgdkkfckbahyrzbcqxdtcy

HW2VEC: A Graph Learning Tool for Automating Hardware Security [article]

Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque
2021 arXiv   pre-print
To attract more attention, we propose HW2VEC, an open-source graph learning tool that lowers the threshold for newcomers to research hardware security applications with graphs.  ...  Several popular geometric representation learning libraries (PyTorch-Geometric and Deep Graph Library) take this format of graphs as the primary data structure in their pipelines. B.  ...  The AST is a tree type of graph in which the nodes V can be operators (mathematical, gates, loop, conditional, etc.), signals, or attributes of signals.  ... 
arXiv:2107.12328v1 fatcat:3tsvg5dc7zf2vf5hxkewkoaahi

Classification of Textile Polymer Composites: Recent Trends and Challenges

Nesrine Amor, Muhammad Tayyab Noman, Michal Petru
2021 Polymers  
Almost all textile-based products are associated with quality, price and consumer's satisfaction.  ...  Moreover, their limitations associated with state-of-the-art processes and some relatively new and sequential classification methods are also proposed and discussed in detail in this paper.  ...  The used processs was trained by ANN, support vector machines and classification trees.  ... 
doi:10.3390/polym13162592 pmid:34451132 pmcid:PMC8398028 fatcat:5hnoal6zprfk5iwljrctggyn6y

Deep Learning in Photoacoustic Tomography: Current approaches and future directions [article]

Andreas Hauptmann, Ben Cox
2020 arXiv   pre-print
With this in mind, the paper concludes with some indications of possible future research directions.  ...  An important attribute of a DL network is the speed with which it can process an input.  ...  The network gives promising results on simulated data -it is shown to work better than linear unmixing -but the digital phantoms are simple geometric shapes.  ... 
arXiv:2009.07608v1 fatcat:mxrqjeahnvhjdiicmzohbnaliu

Semantic text classification for cancer text mining

Simon Baker, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository, Anna Korhonen
2018
We introduce two new semantic classification tasks (the hallmarks, and exposure routes) at both sentence and document levels along with accompanying datasets, and implement and investigate a conventional  ...  The processs of literature review is a vital part of biomedical research (Payne et al., 2007) .  ...  The high percentage of 100% matched and 0% matched can be attributed to 60% of the abstracts having a single label.  ... 
doi:10.17863/cam.23105 fatcat:hi7glupw7je2jl3fmelojguaui