All Outputs (2058)

Modeling diseases with Stream X Machine (2021)
Presentation / Conference Contribution

At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accurac... Read More about Modeling diseases with Stream X Machine.

A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning (2021)
Presentation / Conference Contribution

Software fault prediction makes software quality assurance process more efficient and economic. Most of the works related to software fault prediction have mainly focused on classifying software modules as faulty or not, which does not produce suffic... Read More about A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning.

A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach (2021)
Journal Article

In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a sta... Read More about A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach.

Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing (2021)
Journal Article

This paper attempts to develop an application that converts Tamil and Vietnamese speech to text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil and Vietnames... Read More about Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing.

Application of region-based video surveillance in smart cities using deep learning (2021)
Journal Article

Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is... Read More about Application of region-based video surveillance in smart cities using deep learning.

Users’ experiences of enhancing underwater images: An empirical study (2021)
Journal Article

Within the worldwide diving community, underwater photography is becoming increasingly popular. However, the marine environment presents certain challenges for image capture, with resulting imagery often suffering from colour distortions, low contras... Read More about Users’ experiences of enhancing underwater images: An empirical study.

Ensemble metropolis light transport (2021)
Journal Article

This article proposes a Markov Chain Monte Carlo (MCMC) rendering algorithm based on a family of guided transition kernels. The kernels exploit properties of ensembles of light transport paths, which are distributed according to the lighting in the s... Read More about Ensemble metropolis light transport.

Emergent deep learning for anomaly detection in internet of everything (2021)
Journal Article

This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect outliers in IoE environment... Read More about Emergent deep learning for anomaly detection in internet of everything.

Fungal architectures (2021)
Exhibition / Performance

"Fungal architectures" arts exhibition presents works inspired by protocognition of fungi and slime moulds and fungal materials. Fungal Architectures is a new cross-disciplinary research project that seeks to develop a fully integrated structural and... Read More about Fungal architectures.

E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic (2021)
Journal Article

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational p... Read More about E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic.

The application of eye-tracking technology in architecture engineering and construction industry: A systematic review (2021)
Presentation / Conference Contribution

Despite the scholarly attention on eye-tracking technology in the AEC industry, no studies thus far have attempted to aggregate the findings or knowledge. To bridge this gap and to better understand the state-of-the-art of eye-tracking technology’s a... Read More about The application of eye-tracking technology in architecture engineering and construction industry: A systematic review.

API security in large enterprises: Leveraging machine learning for anomaly detection (2021)
Presentation / Conference Contribution

Large enterprises offer thousands of micro-services applications to support their daily business activities by using Application Programming Interfaces (APIs). These applications generate huge amounts of traffic via millions of API calls every day, w... Read More about API security in large enterprises: Leveraging machine learning for anomaly detection.

Divided by Law (2021)
Presentation / Conference Contribution

In this talk, Dr Emma Agusita and Dr Katie Davies discuss their research project in which film was used to explore and bear witness to the experiences of binational families and couples trying to cope with the UK’s hostile immigration environment. Ca... Read More about Divided by Law.

Control and optimization of multi-agent systems and complex networks for systems engineering (2021)
Journal Article

‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents (2021)
Journal Article

Background: Due to the prevalence and associated adverse health consequences of negative body image among adolescents globally, there is a need to develop acceptable, effective, and scalable interventions. School-based body image interventions delive... Read More about ‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents.

A multi-centred sequential trial comparing PEGASUS, an intervention to promote shared decision making about breast reconstruction with usual care (2021)
Journal Article

Decision making about breast reconstruction (BR) is complex. The Patients’ Expectations and Goals: Assisting Shared Understanding of Surgery (PEGASUS) intervention aims to support shared decision making by helping women and clinicians clarify and dis... Read More about A multi-centred sequential trial comparing PEGASUS, an intervention to promote shared decision making about breast reconstruction with usual care.

Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers (2021)
Journal Article

Background: The CARe Burn Scales are a portfolio of burn-specific PROMs for people affected by burns, including a Child Form (for children < 8 years (Parent-proxy)), a Young Person Form (for young people aged 8 -17 years), an Adult Form, and a Parent... Read More about Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers.

Investigating malware propagation and behaviour using system and network pixel-based visualisation (2021)
Journal Article

Malicious software, known as malware, is a perpetual game of cat and mouse between malicious software developers and security professionals. Recent years have seen many high profile cyber attacks, including the WannaCry and NotPetya ransomware attack... Read More about Investigating malware propagation and behaviour using system and network pixel-based visualisation.

Modern stylometry: A review & experimentation with machine learning (2021)
Presentation / Conference Contribution

The problem of authorship attribution has applications from literary studies (such as the great Shakespeare/Marlowe debates) to counter-intelligence. The field of stylometry aims to offer quantitative results for authorship attribution. In this paper... Read More about Modern stylometry: A review & experimentation with machine learning.

Sentence encoding for dialogue act classification (2021)
Journal Article

In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation which are often overlooked or under... Read More about Sentence encoding for dialogue act classification.