All Outputs (55)

Sensitive data discovery in care pathways using Business Process Modelling and HL7-CDA (2019)
Journal Article

Medical data communication is an important process enabling collaboration between healthcare professionals. The use of patient Electronic Health Record (EHR) ensures an enhanced continuity of care since it provides a centralized patient information a... Read More about Sensitive data discovery in care pathways using Business Process Modelling and HL7-CDA.

A two-stage approach for social identity linkage based on an enhanced weighted graph model (2019)
Journal Article

Social identity linkage refers to identify the accounts belong to the same person across different social networks. This work can assist in building more complete social profiles, which is valuable for many social-powered applications. In this paper,... Read More about A two-stage approach for social identity linkage based on an enhanced weighted graph model.

Guest editorial special issue on blockchain-based secure and trusted computing for IoT (2019)
Journal Article

A stream processing framework based on linked data for information collaborating of regional energy networks (2019)
Journal Article

© 2005-2012 IEEE. Coordinating of energy networks to form a city-level multidimensional integrated energy system becomes a new trend in Energy Internet (EI). The collaborating in the information layer is a core issue to achieve smart integration. How... Read More about A stream processing framework based on linked data for information collaborating of regional energy networks.

A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation (2019)
Journal Article

Recommender systems' evaluation is usually based on predictive accuracy and information retrieval metrics, with better scores meaning recommendations are of higher quality. However, new algorithms are constantly developed and the comparison of result... Read More about A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation.

An analytical framework for high-speed hardware particle swarm optimization (2019)
Journal Article

Engineering optimization techniques are computationally intensive and can challenge implementations on tightly-constrained embedded systems. Particle Swarm Optimization (PSO) is a well-known bio-inspired algorithm that is adopted in various applicati... Read More about An analytical framework for high-speed hardware particle swarm optimization.

Spatial-temporal data-driven service recommendation with privacy-preservation (2019)
Journal Article

© 2019 Elsevier Inc. The ever-increasing popularity of web service sharing communities have produced a considerable amount of web services that share similar functionalities but vary in Quality of Services (QoS) performances. To alleviate the heavy s... Read More about Spatial-temporal data-driven service recommendation with privacy-preservation.

Contactless sensing of liquid marbles for detection, characterisation & computing (2019)
Journal Article

Liquid marbles (LMs) are of growing interest in many fields, including microfluidics, microreactors, sensors, and signal carriers. The generation of LMs is generally performed manually, although there has recently been a burst of publications involvi... Read More about Contactless sensing of liquid marbles for detection, characterisation & computing.

Predicting environmental features by learning spatiotemporal embeddings from social media (2019)
Journal Article

Spatiotemporal modelling is an important task for ecology. Social media tags have been found to have great potential to assist in predicting aspects of the natural environment, particularly through the use of machine learning methods. Here we propose... Read More about Predicting environmental features by learning spatiotemporal embeddings from social media.

The use and impact of Goodreads rating and reviews, for readers of Arabic Books (2019)
Journal Article

Threats on the horizon: Understanding security threats in the era of cyber-physical systems (2019)
Journal Article

Disruptive innovations of the last few decades, such as smart cities and Industry 4.0, were made possible by higher integration of physical and digital elements. In today's pervasive cyber-physical systems, connecting more devices introduces new vuln... Read More about Threats on the horizon: Understanding security threats in the era of cyber-physical systems.

Identifying the origins of extreme rainfall using storm track classification (2019)
Journal Article

Identifying patterns in data relating to extreme rainfall is important for classifying and estimating rainfall and flood frequency distributions routinely used in civil engineering design and flood management. This study demonstrates the novel use of s... Read More about Identifying the origins of extreme rainfall using storm track classification.

Anomaly detection using pattern-of-life visual metaphors (2019)
Journal Article

Complex dependencies exist across the technology estate, users and purposes of machines. This can make it difficult to efficiently detect attacks. Visualization to date is mainly used to communicate patterns of raw logs, or to visualize the output of... Read More about Anomaly detection using pattern-of-life visual metaphors.

A honeybees-inspired heuristic algorithm for numerical optimisation (2019)
Journal Article

© 2019, The Author(s). Swarm intelligence is all about developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributors so that a c... Read More about A honeybees-inspired heuristic algorithm for numerical optimisation.

A comparison of reinforcement learning algorithms in fairness-oriented OFDMA schedulers (2019)
Journal Article

Due to large-scale control problems in 5G access networks, the complexity of radio resource management is expected to increase significantly. Reinforcement learning is seen as a promising solution that can enable intelligent decision-making and reduc... Read More about A comparison of reinforcement learning algorithms in fairness-oriented OFDMA schedulers.

Electrical Properties of Solvated Tectomers: Toward Zettascale Computing (2019)
Journal Article

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Liquid cybernetic systems with embodied intelligence solutions mimicking biologic systems, in response to future increasingly distributed sensing and the resulting data to be managed, has been propo... Read More about Electrical Properties of Solvated Tectomers: Toward Zettascale Computing.

Neuromorphic liquid marbles with aqueous carbon nanotube cores (2019)
Journal Article

Neuromorphic computing devices attempt to emulate features of biological nervous systems through mimicking the properties of synapses, towards implementing the emergent properties of their counterparts, such as learning. Inspired by recent advances i... Read More about Neuromorphic liquid marbles with aqueous carbon nanotube cores.

Marimo machines: Oscillators, biosensors and actuators (2019)
Journal Article

Background The green algae balls (Aegagropila linnaei), known as Marimo, are large spherical colonies of live photosynthetic filaments, formed by rolling water currents in freshwater lakes. Photosynthesis therein produces gas bubbles that can attach... Read More about Marimo machines: Oscillators, biosensors and actuators.

Symmetry degree measurement and its applications to anomaly detection (2019)
Journal Article

IEEE Anomaly detection is an important technique used to identify patterns of unusual network behavior and keep the network under control. Today, network attacks are increasing in terms of both their number and sophistication. To avoid causing signif... Read More about Symmetry degree measurement and its applications to anomaly detection.

Blockchain based digital forensics investigation framework in the internet of things and social systems (2019)
Journal Article

The decentralised nature of blockchain technologies can well match the needs of integrity and provenances of evidences collecting in digital forensics across jurisdictional borders. In this work, a novel blockchain based digital forensics investigati... Read More about Blockchain based digital forensics investigation framework in the internet of things and social systems.