All Outputs (152)

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data (2023)
Conference Proceeding

The emergence of Machine Learning (ML) has altered how researchers and business professionals value data. Applicable to almost every industry, considerable amounts of time are wasted creating bespoke applications and repetitively hand-tuning models t... Read More about Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Conference Proceeding

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Conference Proceeding

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

A BIM-based conceptual framework for embodied carbon assessment (2023)
Conference Proceeding

Understanding the integration of BIM as an enabling factor in embodied carbon (EC) assessment is becoming exponentially vital as the global climate crisis accelerates. This paper introduces a BIM-based conceptual framework to quantify the EC of a bui... Read More about A BIM-based conceptual framework for embodied carbon assessment.

BIM-based building circularity assessment: conceptual framework (2023)
Conference Proceeding

The construction sector contributes substantially to the consumption of raw materials and the production of waste. Traditional building design strategies are based on an unsustainable economic linear model. Transition to the circular economy (CE) par... Read More about BIM-based building circularity assessment: conceptual framework.

A BIM-based framework for designing sustainable structures through the reuse of precast concrete components (2023)
Conference Proceeding

The widespread use of concrete within the global construction sector is primarily attributed to its inherent qualities of resilience, versatility, longevity, and facilitation of economic growth. Nevertheless, it is noteworthy that this popular materi... Read More about A BIM-based framework for designing sustainable structures through the reuse of precast concrete components.

An experimental investigation of the effect of surface roughness on sessile droplet evaporation (2023)
Conference Proceeding

As one of the most common phenomena in nature, droplet evaporation has become a major heat transfer mode and is used widely in industries and scientific fields. For a sessile droplet, the wettability of the substrate surface could make a significant... Read More about An experimental investigation of the effect of surface roughness on sessile droplet evaporation.

Electrical resistivity tomography to measure and monitor hydrodynamic heterogeneities in a Malawian agricultural alfisol (2023)
Conference Proceeding

Conservation Agriculture (CA) is an agricultural method that has been shown to provide crop resilience to drought. In order to better understand the hydrodynamics in soils cultivated using CA, we installed geophysical monitoring equipment and co-loca... Read More about Electrical resistivity tomography to measure and monitor hydrodynamic heterogeneities in a Malawian agricultural alfisol.

Uncertainty analysis of an augmented industrial robot (2023)
Conference Proceeding

Industrial robots are often used in additive manufacturing (AM) environments to automate the process of creating complex parts and structures. One example of an industrial robot used in AM is for wire and arc additive manufacturing. This process invo... Read More about Uncertainty analysis of an augmented industrial robot.

Frequency Analysis of Monopiles with Masing-Type Hysteresis Damping Under Large-Strain Cyclic Loading (2023)
Conference Proceeding

Offshore wind turbines supported by monopiles have demonstrated their suitability to meet sustainable energy goals. However, there remains uncertainty about how long these foundations can stay operating within serviceable deflection limits after many... Read More about Frequency Analysis of Monopiles with Masing-Type Hysteresis Damping Under Large-Strain Cyclic Loading.

RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments (2023)
Conference Proceeding

Building effective voice interfaces for the instruction of service robots in specialised environments is difficult due to the local knowledge of workers, such as specific terminology for objects and space, leading to limited data to train language mo... Read More about RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments.

Generative AI Considered Harmful (2023)
Conference Proceeding

The recent months have seen an explosion of interest, hype, and concern about generative AI, driven by the release of ChatGPT. In this article I seek to explicate some potential and actual harms of the engineering and use of generative AI such as Cha... Read More about Generative AI Considered Harmful.

Sequential Rule Mining for Automated Design of Meta-heuristics (2023)
Conference Proceeding

With a recently defined AutoGCOP framework, the design of local search algorithms can be defined as the composition of the basic elementary algorithmic components. These compositions into the best algorithms thus retain useful knowledge of effective... Read More about Sequential Rule Mining for Automated Design of Meta-heuristics.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Conference Proceeding

Resilience to supply chain disruptions and to changing product volumes and specifications are currently major challenges for the manufacturing sector. To maintain quality and productivity, manufacturers need to be able to respond to disruption using... Read More about Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling.

Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities (2023)
Conference Proceeding

The integration of robots into everyday life is an increasingly common and mundane phenomena. Understanding how people regard and interact with these robots is a rapidly growing area of study, however, there is limited consideration of the attitudes... Read More about Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities.

Alternating Sequential Model Predictive Control of Matrix Converter (2023)
Conference Proceeding

Weighting factor design is one of the challenges faced by model predictive control (MPC) when multiple control objectives are to be achieved simultaneously. This paper proposes an alternating sequential MPC (ASMPC) in which the cost functions are eva... Read More about Alternating Sequential Model Predictive Control of Matrix Converter.

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Conference Proceeding

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients (2023)
Conference Proceeding

Precise pain assessment is crucial for medical professionals to provide appropriate treatment. However, not every patient can verbalise the experienced pain for various reasons (e.g., speech disorders or language barriers). In these cases, medical pr... Read More about TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients.

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress (2023)
Conference Proceeding

Online misinformation is a serious problem that can have a negative impact on individuals, societies, and democracies. It can lead to the spread of false information, the erosion of trust in institutions, and the polarisation of political discourse.... Read More about A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.

An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing (2023)
Conference Proceeding

Internet users often report feelings of stress, anxiety, and a lack of control, often related to uncertainty about the use of algorithms and autonomous systems (AS) behind what they encounter. This may lead to a loss of trust in the services, content... Read More about An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing.