Outputs (65)

A Game Theoretical Method for Cost-Benefit Analysis of Malware Dissemination Prevention (2015)
Journal Article
Spyridopoulos, T., Maraslis, K., Mylonas, A., Tryfonas, T., & Oikonomou, G. (2015). A Game Theoretical Method for Cost-Benefit Analysis of Malware Dissemination Prevention. Information Security Journal: A Global Perspective, 24(4-6), 164-176. https://doi.org/10.1080/19393555.2015.1092186

Copyright © Taylor & Francis Group, LLC. Literature in malware proliferation focuses on modeling and analyzing its spread dynamics. Epidemiology models, which are inspired by the characteristics of biological disease spread in human populations, ha... Read More about A Game Theoretical Method for Cost-Benefit Analysis of Malware Dissemination Prevention.

On chirality of slime mould (2015)
Journal Article
Levin, M., Erokhin, V., Dimonte, A., & Adamatzky, A. (2016). On chirality of slime mould. BioSystems, 140, 23-27. https://doi.org/10.1016/j.biosystems.2015.12.008

© 2015 Elsevier Ireland Ltd. Left-right patterning and lateralised behaviour is an ubiquitous aspect of plants and animals. The mechanisms linking cellular chirality to the large-scale asymmetry of multicellular structures are incompletely understood... Read More about On chirality of slime mould.

Facile aqueous growth of 150 nm ZnO nanowires for energy harvester: Enhanced output voltage using Pt sputtered electrode (2015)
Journal Article
Luxton, R., Ahmad, M., Kiely, J., Luxton, R. W., Jabeen, M., & Khalid, M. (2016). Facile aqueous growth of 150 nm ZnO nanowires for energy harvester: Enhanced output voltage using Pt sputtered electrode. Sensing and Bio-Sensing Research, 7, 141-145. https://doi.org/10.1016/j.sbsr.2015.12.005

© 2015. Facile aqueous growth technique was adopted to grow diameter controlled 150 nm ZnO nanowires on an ITO (indium tin oxide) coated PET (poly ethylene terephthalate) substrate. Prior to nanowire growth, a pure wurtazite structured ZnO seed layer... Read More about Facile aqueous growth of 150 nm ZnO nanowires for energy harvester: Enhanced output voltage using Pt sputtered electrode.

Sensor capability and atmospheric correction in ocean colour remote sensing (2015)
Journal Article
Emberton, S., Chittka, L., Cavallaro, A., & Wang, M. (2016). Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8(1), https://doi.org/10.3390/rs8010001

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Accurate correction of the corrupting effects of the atmosphere and the water's surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from... Read More about Sensor capability and atmospheric correction in ocean colour remote sensing.

MyGeo-Explorer: A semantic search tool for querying geospatial information (2015)
Journal Article
Panchanathan, S., Lawan, A., & Rakib, A. (2015). MyGeo-Explorer: A semantic search tool for querying geospatial information

We propose a semantic search approach for geospatial information systems to resolve the issue of semantic heterogeneity in metadata catalogues. Using the Malaysian geospatial data infrastructure service portal, MyGDI Explorer, as a comparative case s... Read More about MyGeo-Explorer: A semantic search tool for querying geospatial information.

Self-sustainable electricity production from algae grown in a microbial fuel cell system (2015)
Journal Article
Gajda, I., Greenman, J., Melhuish, C., & Ieropoulos, I. (2015). Self-sustainable electricity production from algae grown in a microbial fuel cell system. Biomass and Bioenergy, 82, 87-93. https://doi.org/10.1016/j.biombioe.2015.05.017

© 2015 The Authors. This paper describes the potential for algal biomass production in conjunction with wastewater treatment and power generation within a fully biotic Microbial Fuel Cell (MFC). The anaerobic biofilm in the anodic half-cell is genera... Read More about Self-sustainable electricity production from algae grown in a microbial fuel cell system.

Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks (2015)
Journal Article
Ihshaish, H., Tantet, A., Dijkzeul, J. C. M., & Dijkstra, H. A. (2015). Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks. Geoscientific Model Development, 8(10), 3321-3331. https://doi.org/10.5194/gmd-8-3321-2015

© 2015 Author(s). In this paper, we present Par@Graph, a software toolbox to reconstruct and analyze complex climate networks having a large number of nodes (up to at least 106) and edges (up to at least 1012). The key innovation is an efficient set... Read More about Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks.

Evolving unipolar memristor spiking neural networks (2015)
Journal Article
Howard, G. D., Bull, L., & De Lacy Costello, B. (2015). Evolving unipolar memristor spiking neural networks. Connection Science, 27(4), 397-416. https://doi.org/10.1080/09540091.2015.1080225

© 2015 Taylor & Francis. Neuromorphic computing – brain-like computing in hardware – typically requires myriad complimentary metal oxide semiconductor spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristors are freq... Read More about Evolving unipolar memristor spiking neural networks.

On the computing potential of intracellular vesicles (2015)
Journal Article
Mayne, R., & Adamatzky, A. (2015). On the computing potential of intracellular vesicles. PLoS ONE, 10(10), e0139617. https://doi.org/10.1371/journal.pone.0139617

© 2015 Mayne, Adamatzky. Collision-based computing (CBC) is a form of unconventional computing in which travelling localisations represent data and conditional routing of signals determines the output state; collisions between localisations represent... Read More about On the computing potential of intracellular vesicles.

A brief history of learning classifier systems: from CS-1 to XCS and its variants (2015)
Journal Article
Bull, L. (2015). A brief history of learning classifier systems: from CS-1 to XCS and its variants. Evolutionary Intelligence, 8(2-3), 55-70. https://doi.org/10.1007/s12065-015-0125-y

© 2015, Springer-Verlag Berlin Heidelberg. The direction set by Wilson’s XCS is that modern Learning Classifier Systems can be characterized by their use of rule accuracy as the utility metric for the search algorithm(s) discovering useful rules. Suc... Read More about A brief history of learning classifier systems: from CS-1 to XCS and its variants.