Outputs (100)

Augmented reality as a thirdspace: Simultaneous experience of the physical and virtual (2023)
Presentation / Conference Contribution

With the proliferation of devices that display augmented reality (AR), now is the time for scholars and practitioners to evaluate and engage critically with emerging applications of the medium. AR mediates the way users see their bodies, hear their e... Read More about Augmented reality as a thirdspace: Simultaneous experience of the physical and virtual.

Error-type -A novel set of software metrics for software fault prediction (2023)
Journal Article

In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle. Fault identification can be performed by analysing... Read More about Error-type -A novel set of software metrics for software fault prediction.

Personalised learning through context-based adaptation in the serious games with gating mechanism (2023)
Journal Article

When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's abi... Read More about Personalised learning through context-based adaptation in the serious games with gating mechanism.

Conversation analysis for computational modelling of task-oriented dialogue (2023)
Thesis

Current methods of dialogue modelling for Conversational AI (CAI) bear little resemblance to the manner in which humans organise conversational interactions. The way utterances are represented, interpreted, and generated are determined by the necessi... Read More about Conversation analysis for computational modelling of task-oriented dialogue.

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Presentation / Conference Contribution

Collaborative filtering are recommender systems algorithms that provide personalized recommendations to users in various online environments such as movies, music, books, jokes and others. There are many such recommendation algorithms and, regarding... Read More about Fast and accurate evaluation of collaborative filtering recommendation algorithms.

The nonequilibrium potential today: A short review (2022)
Journal Article

A brief review is made of the birth and evolution of the “nonequilibrium potential” (NEP) concept. As if providing a landscape for qualitative reasoning were not helpful enough, the NEP adds a quantitative dimension to the qualitative theory of diffe... Read More about The nonequilibrium potential today: A short review.

Developing concept system for robotics open heart surgery (2022)
Digital Artefact

Research interests in the healthcare field have for some time been growing within CFPR. A connection with Dr Muhammad Bilal from UWE’s Big Data Enterprise and Artificial Intelligence Lab is, in particular, developing some promising healthcare researc... Read More about Developing concept system for robotics open heart surgery.

Development of communicating stream x-machine tool for modeling and generating test cases for automated teller machine (2022)
Presentation / Conference Contribution

The improvement of this paper takes advantage of the existing formal method called Stream X-Machine by optimizing the theory and applying it to practice in a large-scale system. This optimized formal approach called Communicating Stream X-Machine (CS... Read More about Development of communicating stream x-machine tool for modeling and generating test cases for automated teller machine.

An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things (2022)
Journal Article

Pipelines are the safest tools for transporting oil and gas. However, the environmental effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring financial and environmental damages. Today, new technologies such as th... Read More about An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things.

Supporting patient nutrition in critical care units (2022)
Presentation / Conference Contribution

Critical Care Unit (CCU) patients often benefit from being referred to dietitians for various reasons. This can help improve recovery time, resulting in more effective utilisation of valuable resources within the NHS (National Health Service) in the... Read More about Supporting patient nutrition in critical care units.

Studying how digital luthiers choose their tools (2022)
Presentation / Conference Contribution

Digital lutherie is a sub-domain of digital craft focused on creating digital musical instruments: high-performance devices for musical expression. It represents a nuanced and challenging area of human-computer interaction that is well established an... Read More about Studying how digital luthiers choose their tools.

Chlorella sensors in liquid marbles and droplets (2022)
Journal Article

The use of live organisms in electrically-coupled sensing devices has been suggested as an alternative low-cost, low-environmental footprint and robust technology for continuous monitoring and sensing applications. The utility of Chlorella vulgaris a... Read More about Chlorella sensors in liquid marbles and droplets.

Variational restricted Boltzmann machines to automated anomaly detection (2022)
Journal Article

Data-driven methods are implemented using particularly complex scenarios that reflect in-depth perennial knowledge and research. Hence, the available intelligent algorithms are completely dependent on the quality of the available data. This is not po... Read More about Variational restricted Boltzmann machines to automated anomaly detection.

HyperModels - A framework for GPU accelerated physical modelling sound synthesis (2022)
Presentation / Conference Contribution

Physical modelling sound synthesis methods generate vast and intricate sound spaces that are navigated using meaningful parameters. Numerical based physical modelling nsynthesis methods provide authentic representations of the physics they model. Unf... Read More about HyperModels - A framework for GPU accelerated physical modelling sound synthesis.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Presentation / Conference Contribution

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.

Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue (2022)
Journal Article

We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of d... Read More about Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue.

Marimo actuated rover systems (2022)
Journal Article

Background: The potential to directly harness photosynthesis to make actuators, biosensors and bioprocessors has been previously demonstrated in the literature. Herein, this capability has been expanded to more advanced systems — Marimo Actuated Rove... Read More about Marimo actuated rover systems.

Memory-constrained context-aware reasoning (2022)
Presentation / Conference Contribution

The context-aware computing paradigm introduces environments, known as smart spaces, which can unobtrusively and proactively assist their users. These systems are currently mostly implemented on mobile platforms considering various techniques, includ... Read More about Memory-constrained context-aware reasoning.

Bespoke anywhere (2021)
Presentation / Conference Contribution

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Presentation / Conference Contribution

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.