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Phenotypic plasticity of nest-mate recognition cues in formica exsecta ants (2019)
Journal Article
Martin, S., Drijfhout, F., & Hart, A. (2019). Phenotypic plasticity of nest-mate recognition cues in formica exsecta ants. Journal of Chemical Ecology, 45(9), 735-740. https://doi.org/10.1007/s10886-019-01103-2

It is well established that many ant species have evolved qualitatively distinct species-specific chemical profile that are stable overlarge geographical distances. Within these species profiles quantitative variations in the chemical profile allows... Read More about Phenotypic plasticity of nest-mate recognition cues in formica exsecta ants.

CUPS : Secure Opportunistic Cloud of Things Framework based on Attribute Based Encryption Scheme Supporting Access Policy Update (2019)
Journal Article
Belguith, S., Kaaniche, N., & Russello, G. (2020). CUPS : Secure Opportunistic Cloud of Things Framework based on Attribute Based Encryption Scheme Supporting Access Policy Update. Security and Privacy, 3(4), e85. https://doi.org/10.1002/spy2.85

The ever‐growing number of internet connected devices, coupled with the new computing trends, namely within emerging opportunistic networks, engenders several security concerns. Most of the exchanged data between the internet of things (IoT) devices... Read More about CUPS : Secure Opportunistic Cloud of Things Framework based on Attribute Based Encryption Scheme Supporting Access Policy Update.

Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing (2019)
Journal Article
Ramos Romero, C., & Asensio, C. (2019). Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing. International Congress on Acoustics, 7195-7199. https://doi.org/10.18154/RWTH-CONV-238915

A new approach to detect different asphalt defectology based on tyre/road noise analysis by Machine Learning algorithms is proposed. In this way, a probe of concept was carried out to exploit the acoustic signal generated by the tyre-asphalt interact... Read More about Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing.

Evidence of non-contiguous flood driven coarse sediment transfer and implications for sediment management (2019)
Presentation / Conference
Heritage, G., Entwistle, N., & Milan, D. (2019, September). Evidence of non-contiguous flood driven coarse sediment transfer and implications for sediment management. Presented at 38th IAHR World Congress, Panama City, Panama

We investigate gravel redistribution and morphological response of three headwater streams following the Storm
Desmond floods of December 2015. Reactive management of the watercourses following the flooding
concentrated on removal of gravel and cle... Read More about Evidence of non-contiguous flood driven coarse sediment transfer and implications for sediment management.

Assessing the potential of environmental DNA metabarcoding for monitoring Neotropical mammals : a case study in the Amazon and Atlantic Forest, Brazil (2019)
Other

The application of environmental DNA (eDNA) metabarcoding as a biomonitoring tool has greatly increased in the last decade. However, most studies have focused on aquatic macro-organisms in temperate areas (e.g., fishes). We apply eDNA metabarcoding t... Read More about Assessing the potential of environmental DNA metabarcoding for monitoring Neotropical mammals : a case study in the Amazon and Atlantic Forest, Brazil.

Future Trends in Agile at Scale: A Summary of the 7th International Workshop on Large-Scale Agile Development (2019)
Presentation / Conference Contribution

This workshop explored the main research challenges in conducting agile software development in large-scale software development. We considered multi-site companies with projects that include a large number of teams which develop sophisticated system... Read More about Future Trends in Agile at Scale: A Summary of the 7th International Workshop on Large-Scale Agile Development.

Automatic recognition of feeding and non-nutritive feeding behaviour in pigs using deep learning (2019)
Presentation / Conference Contribution

Automated vision-based early warning systems have been developed to detect behavioural changes in groups of pigs to monitor their health and welfare status. However, automatic feed detection remains a problem in precision pig farming due to problems... Read More about Automatic recognition of feeding and non-nutritive feeding behaviour in pigs using deep learning.