Outputs (35)

Confidentiality and linked data (2018)
Book Chapter

This chapter considers the confidentiality issues around linked data. It notes that the use and availability of secondary (adminstrative or social media) data, allied to powerful processing and machine learning techniques, in theory means that re-ide... Read More about Confidentiality and linked data.

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system (2018)
Journal Article

© 2018 Elsevier B.V. In recent years, Intelligent and Connected Transportation Systems (ICTS) have become a practical and valuable alternative for wide variety of novel applications in road traffic safety. It can be utilized to guarantee road safety... Read More about Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system.

An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems (2018)
Journal Article

© 2018, The Author(s). Over the last few years, context-aware computing has received a growing amount of attention among the researchers in the IoT and ubiquitous computing community. In principle, context-aware computing transforms a physical enviro... Read More about An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems.

An IoT-oriented data placement method with privacy preservation in cloud environment (2018)
Journal Article

© 2018 Elsevier Ltd IoT (Internet of Things) devices generate huge amount of data which require rich resources for data storage and processing. Cloud computing is one of the most popular paradigms to accommodate such IoT data. However, the privacy co... Read More about An IoT-oriented data placement method with privacy preservation in cloud environment.

An approach for web service selection and dynamic composition based on linked open data (2018)
Book Chapter

The wide adoption of the Service Oriented Architecture (SOA) paradigm has provided a means for heterogeneous systems to seamlessly interact and exchange data. Thus, enterprises and end-users have widely utilized Web Services (WS), either as stand-alo... Read More about An approach for web service selection and dynamic composition based on linked open data.

Reproduction of experiments in recommender systems evaluation based on explanations (2018)
Book Chapter

The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error (MAE) and the Root Mean Squared Error (RMSE), while on the other hand Precision and Recall is used to measure the quality of the top-... Read More about Reproduction of experiments in recommender systems evaluation based on explanations.

Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management (2018)
Journal Article

© 2004-2012 IEEE. Dominated by delay-sensitive and massive data applications, radio resource management in 5G access networks is expected to satisfy very stringent delay and packet loss requirements. In this context, the packet scheduler plays a cent... Read More about Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management.

Mobile recommender systems: Identifying the major concepts (2018)
Journal Article

© The Author(s) 2018. This article identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an informa... Read More about Mobile recommender systems: Identifying the major concepts.

Mapping wildlife species distribution with social media: Augmenting text classification with species names (2018)
Presentation / Conference Contribution

© Shelan S. Jeawak, Christopher B. Jones, and Steven Schockaert. Social media has considerable potential as a source of passive citizen science observations of the natural environment, including wildlife monitoring. Here we compare and combine two ma... Read More about Mapping wildlife species distribution with social media: Augmenting text classification with species names.

Managing Congestion in Vehicular Networks Using Tabu Search (2018)
Presentation / Conference Contribution

© 2018, Springer Nature Switzerland AG. In this era of communication, exponentially growing networks bring a lot of challenges to address for smoother network functionalities. Among them is efficiency in handling packet traffic to avoid and control c... Read More about Managing Congestion in Vehicular Networks Using Tabu Search.

Outside the block syndicate: Translating Faust's algebra of blocks to the arrows framework (2018)
Presentation / Conference Contribution

Folklore has it that Faust’s algebra of blocks can be represented in Hughes’ algebra of Arrows. In this paper we formalise this understanding, showing that blocks can indeed be encoded with Causal Commutative Arrows.
Whilst an interesting finding in... Read More about Outside the block syndicate: Translating Faust's algebra of blocks to the arrows framework.

An adaptive opportunistic routing scheme for reliable data delivery in WSNs (2018)
Presentation / Conference Contribution

© 2018 ACM. With the emergence of miniature technologies such as sensor nodes powered with limited batteries, many applications came into existence such as detection of mine reconnaissance, pollution monitoring, data gathering from remote locations,... Read More about An adaptive opportunistic routing scheme for reliable data delivery in WSNs.

5G Internet of Things: A survey (2018)
Journal Article

© 2018 The existing 4G networks have been widely used in the Internet of Things (IoT) and is continuously evolving to match the needs of the future Internet of Things (IoT) applications. The 5G networks are expected to massive expand today's IoT that... Read More about 5G Internet of Things: A survey.

Predicting user confidence during visual decision making (2018)
Journal Article

© 2018 ACM People are not infallible consistent “oracles”: their confidence in decision-making may vary significantly between tasks and over time. We have previously reported the benefits of using an interface and algorithms that explicitly captured... Read More about Predicting user confidence during visual decision making.

Data, metadata, and workflow in healthcare informatics (2018)
Thesis

This dissertation considers a number of interlinked concepts, propositions and relations, and puts forward a set of design theses, to support the role of informatics in the overall goal of knowledge-based, information-driven, integrated, patient-cent... Read More about Data, metadata, and workflow in healthcare informatics.

From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks (2018)
Journal Article

Modern information society depends on reliable functionality of information systems infrastructure, while at the same time the number of cyber-attacks has been increasing over the years and damages have been caused. Furthermore, graphs can be used to... Read More about From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks.

Beneficial role of humans and AI in a machine learning age of the Telco ecosystem (2018)
Presentation / Conference Contribution

The adoption of new technology in the telecommunications industry raises challenges, particularly when exploiting advances in artificial intelligence (AI) (e.g. dynamic optimisation and machine learning). Indeed, opinions have been expressed that AI... Read More about Beneficial role of humans and AI in a machine learning age of the Telco ecosystem.

The internet of flying things (2018)
Book Chapter

Popularly known as drones, unmanned aerial vehicles (UAVs) have been applied in several fields, usually operating in cooperative and collaborative swarms to enable the execution of more dynamic missions. Thus, the new Flying Ad Hoc Networks (FANETs)... Read More about The internet of flying things.

Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP) (2018)
Journal Article

© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Provenance of scientific workflows has been considered a mean to provide workflow reproducibility. However, the provenance approaches adopted so far are not applicable in the context of C... Read More about Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP).

Simply the best: Optimising with an evolutionary computing framework (2018)
Presentation / Conference Contribution

These are the slides of the interactive programming workshop on optimising with an evolutionary computing framework at ACCU 2018. Java Class Library for Evolutionary Computing (JCLEC) is used as the example framework. Example optimisation problems in... Read More about Simply the best: Optimising with an evolutionary computing framework.