All Outputs (126)

A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks (2021)
Journal Article

The proliferation of compute-intensive services in next-generation vehicular networks will impose an unprecedented computation demand to meet stringent latency and resource requirements. Vehicular edge or fog computing has been a widely adopted solut... Read More about A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks.

Blockchain and artificial intelligence -Managing a secure and sustainable supply chain (2021)
Presentation / Conference Contribution

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services nowadays. Regardless of whether the operations are mostly physical or online, managing supply chains relies entirely on be... Read More about Blockchain and artificial intelligence -Managing a secure and sustainable supply chain.

OntoBioethics: A framework for the agile development of bioethics ontologies in pandemics, applied to COVID-19 (2021)
Journal Article

Background: Few ontological attempts have been reported for conceptualizing the bioethics domain. In addition to limited scope representativeness and lack of robust methodological approaches in driving research design and evaluation of bioethics onto... Read More about OntoBioethics: A framework for the agile development of bioethics ontologies in pandemics, applied to COVID-19.

On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism (2021)
Journal Article

Recently, we have witnessed an increasing demand in augmented reality (AR)-based fifth-generation (5G) and beyond applications, such as smart gaming, smart navigation, smart military wearable, and smart industries. These AR-based applications require... Read More about On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism.

Autoencoding with a classifier system (2021)
Journal Article

Autoencoders are data-specific compression algorithms learned automatically from examples. The predominant approach has been to construct single large global models that cover the domain. However, training and evaluating models of increasing size com... Read More about Autoencoding with a classifier system.

Automatic for the people: Two pieces of crowd-driven music (2021)
Exhibition / Performance

A video presenting excepts from two pieces of live generative works developed for BBC Music Day 2018, performed continuously throughout the day on the busy main platform of Bristol railway station. Both pieces are generated (and played) live using th... Read More about Automatic for the people: Two pieces of crowd-driven music.

Divided by Law (2021)
Digital Artefact

Captured just before and during the Coronavirus outbreak and in the lead up to Brexit, 'Divided by Law' bears witness to binational families and couples trying to cope with the UK's hostile immigration environment.

Towards optimized one-step clustering approach in wireless sensor networks (2021)
Journal Article

This paper introduces a nonlinear integer programming model for the clustering problem in wireless sensor networks, with a threefold contribution. First, all factors that may influence the energy consumption of clustering protocols, such as cluster-h... Read More about Towards optimized one-step clustering approach in wireless sensor networks.

Are artificial dendrites useful in neuro-evolution? (2021)
Journal Article

The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechanism into neuro-evolution. The phenomenon of separate dendrite activati... Read More about Are artificial dendrites useful in neuro-evolution?.

Variational autoencoder for image-based augmentation of eye-tracking data (2021)
Journal Article

Over the past decade, deep learning has achieved unprecedented successes in a diversity of application domains, given large-scale datasets. However, particular domains, such as healthcare, inherently suffer from data paucity and imbalance. Moreover,... Read More about Variational autoencoder for image-based augmentation of eye-tracking data.

Digital transformation: Industry 4.0 for future minds and future society (2021)
Journal Article

A generic provenance framework to document public policy making processes (2021)
Thesis

Public policies impact the day to day activities of individuals. Effective public policy outcomes result in general acceptance among the community. The transparency in policy making process and participation during policy creation holds significant p... Read More about A generic provenance framework to document public policy making processes.

Creativity in children's digital music composition (2021)
Presentation / Conference Contribution

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy to support children’s learning through pl... Read More about Creativity in children's digital music composition.

Improving regional rainfall forecasts using convolutional-neural networks (2021)
Presentation / Conference Contribution

Traditional weather forecasting approaches utilize numerous numerical simulations and empirical models to produce a gridded estimate of rainfall, the cells of which often span multiple regions and struggle to capture extreme events. The approach pres... Read More about Improving regional rainfall forecasts using convolutional-neural networks.

Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach (2021)
Journal Article

Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and computation-intensive tasks by offering computing capabilities in the proximity of mobile device users. Most of the exist... Read More about Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach.

Music and sound in virtual/augmented realities—Questions, challenges and approaches: A multidisciplinary roundtable (2021)
Journal Article

The mid-to-late 2010s saw a renewed interest in virtual reality technologies with the release of a wide selection of consumer VR headsets and glasses, and the increased power of smartphones to provide augmented reality experiences. While research on... Read More about Music and sound in virtual/augmented realities—Questions, challenges and approaches: A multidisciplinary roundtable.

Protein structured reservoir computing for spike-based pattern recognition (2021)
Journal Article

Nowadays we witness a miniaturisation trend in the semiconductor industry backed up by groundbreaking discoveries and designs in nanoscale characterisation and fabrication. To facilitate the trend and produce ever smaller, faster and cheaper computin... Read More about Protein structured reservoir computing for spike-based pattern recognition.

Solving set union knapsack problems with adaptive binary artificial bee colony (2021)
Journal Article

Meta-heuristic and swarm intelligence algorithms have long been used to provide approximate solutions to NP-Hard optimization problems. Especially when it comes to combinatorial and binary problems, operator functions used to generate neighbor soluti... Read More about Solving set union knapsack problems with adaptive binary artificial bee colony.

IPv6 cryptographically generated address: Analysis, optimization and protection (2021)
Journal Article

In networking, one major difficulty that nodes suffer from is the need for their addresses to be generated and verified without relying on a third party or public authorized servers. To resolve this issue, the use of selfcertifying addresses have bec... Read More about IPv6 cryptographically generated address: Analysis, optimization and protection.

COVID-19 and learning styles: GCET as case study (2021)
Journal Article

The COVID-19 pandemic has caused higher educational institutions around the world to close campus-based activities and move to online delivery. The aim of this paper is to present the case of Global College of Engineering and Technology (GCET) and ho... Read More about COVID-19 and learning styles: GCET as case study.