Outputs (55)

Venue2Vec: An efficient embedding model for fine-grained user location prediction in geo-social networks (2019)
Journal Article

Geo-Social Networks (GSN) significantly improve location-aware capability of services by offering geo-located content based on the huge volumes of data generated in the GSN. The problem of user location prediction based on user-generated data in GSN... Read More about Venue2Vec: An efficient embedding model for fine-grained user location prediction in geo-social networks.

Video-based evidence analysis and extraction in digital forensic investigation (2019)
Journal Article

As a result of the popularity of smart mobile devices and the low cost of surveillance systems, visual data are increasingly being used in digital forensic investigation. Digital videos have been widely used as key evidence sources in evidence identi... Read More about Video-based evidence analysis and extraction in digital forensic investigation.

NeuroProv: Provenance data visualisation for neuroimaging analyses (2019)
Journal Article

© 2019 Elsevier Ltd Visualisation underpins the understanding of scientific data both through exploration and explanation of analysed data. Provenance strengthens the understanding of data by showing the process of how a result has been achieved. Wit... Read More about NeuroProv: Provenance data visualisation for neuroimaging analyses.

Model checking ontology-driven reasoning agents using strategy and abstraction (2019)
Journal Article

We present a framework for the modelling, specification and verification of ontology-driven multi-agent rule-based systems (MASs). We assume that each agent executes in a separate process and that they communicate via message passing. The proposed ap... Read More about Model checking ontology-driven reasoning agents using strategy and abstraction.

Mapping outcomes of liquid marble collisions (2019)
Journal Article

© 2019 The Royal Society of Chemistry. Liquid marbles (LMs) have many promising roles in the ongoing development of microfluidics, microreactors, bioreactors, and unconventional computing. In many of these applications, the coalescence of two LMs is... Read More about Mapping outcomes of liquid marble collisions.

Privacy and security for resource-constrained IOT devices and networks: Research challenges and opportunities (2019)
Journal Article

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. With the exponential growth of the Internet of Things (IoT) and cyber-physical systems (CPS), a wide range of IoT applications have been developed and deployed in recent years. To match the he... Read More about Privacy and security for resource-constrained IOT devices and networks: Research challenges and opportunities.

Thermal switch of oscillation frequency in belousov- zhabotinsky liquid marbles (2019)
Journal Article

© 2019 The Authors. External control of oscillation dynamics in the Belousov- Zhabotinsky (BZ) reaction is important for many applications including encoding computing schemes. When considering the BZ reaction, there are limited studies dealing with... Read More about Thermal switch of oscillation frequency in belousov- zhabotinsky liquid marbles.

MaMaDroid: Detecting Android malware by building Markov chains of behavioral models (extended version) (2019)
Journal Article

As Android has become increasingly popular, so has malware targeting it, thus motivating the research community to propose different detection techniques. However, the constant evolution of the Android ecosystem, and of malware itself, makes it hard... Read More about MaMaDroid: Detecting Android malware by building Markov chains of behavioral models (extended version).

Fear filter: Visualising the UK Terror Threat Level (2019)
Journal Article

This statement explores the digital photo artwork Fear Filter which uses the UK Terror Threat Level as a source for a set of visualisation tools. It argues that the UK Terror Threat Level should be understood as part of the expansion of a range of se... Read More about Fear filter: Visualising the UK Terror Threat Level.

Machine learning for smart building applications: Review and taxonomy (2019)
Journal Article

© 2019 Association for Computing Machinery. The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first clas... Read More about Machine learning for smart building applications: Review and taxonomy.