Outputs (65)

Stronger security notions for decentralized traceable attribute-based signatures and more efficient constructions (2015)
Journal Article
Ghadafi, E. (2015). Stronger security notions for decentralized traceable attribute-based signatures and more efficient constructions. Lecture Notes in Artificial Intelligence, 9048, 391-409. https://doi.org/10.1007/978-3-319-16715-2_21

© Springer International Publishing Switzerland 2015. We revisit the notion of Decentralized Traceable Attribute- Based Signatures (DTABS) introduced by El Kaafarani et al. (CT-RSA 2014) and improve the state-of-the-art in three dimensions: Firstly,... Read More about Stronger security notions for decentralized traceable attribute-based signatures and more efficient constructions.

Mechanisms inducing parallel computation in a model of physarum polycephalum transport networks (2015)
Journal Article
Jones, J. (2015). Mechanisms inducing parallel computation in a model of physarum polycephalum transport networks. Parallel Processing Letters, 25(1), https://doi.org/10.1142/S0129626415400046

© 2015 World Scientific Publishing Company. The giant amoeboid organism true slime mould Physarum polycephalum dynamically adapts its body plan in response to changing environmental conditions and its protoplasmic transport network is used to distrib... Read More about Mechanisms inducing parallel computation in a model of physarum polycephalum transport networks.

Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms (2015)
Journal Article
Esen, I., Düʇenci, M., Düğenci, M., Aydemir, A., Esen, İ., & Aydin, M. E. (2015). Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms. Engineering Applications of Artificial Intelligence, 45, 71-79. https://doi.org/10.1016/j.engappai.2015.06.016

© 2015 Elsevier Ltd. All rights reserved. Polymeric materials, being capable of high mouldability, usability of long lifetime up to 50 years and availability at low cost properties compared to metallic materials, are in demand but finite element-base... Read More about Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms.

An extensible platform for the forensic analysis of social media data (2015)
Journal Article
Read, H., Xynos, K., Sutherland, I., Roarson, F., Andriotis, P., & Oikonomou, G. (2015). An extensible platform for the forensic analysis of social media data. Lecture Notes in Artificial Intelligence, 9190, 404-414. https://doi.org/10.1007/978-3-319-20376-8_36

© Springer International Publishing Switzerland 2015. Visualising data is an important part of the forensic analysis process. Many cell phone forensic tools have specialised visualisation components, but are as of yet able to tackle questions concern... Read More about An extensible platform for the forensic analysis of social media data.

Twenty five uses of slime mould in electronics and computing: Survey (2015)
Journal Article
Adamatzky, A. (2015). Twenty five uses of slime mould in electronics and computing: Survey. International Journal of Unconventional Computing, 11(5-6), 449-471

Slime mould Physarum polycephalum is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralised actuation. The ease of culturing and experimenting with Physarum makes this slime moul... Read More about Twenty five uses of slime mould in electronics and computing: Survey.