All Outputs (2914)

Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression (2023)
Conference Proceeding

Single point incremental forming (SPIF) and Double-sided incremental forming (DSIF) are two main variants of incremental sheet forming (ISF) processes. Tension under cyclic bending (TCB) have been developed as a means for experimental evaluation and... Read More about Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Conference Proceeding

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.

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.

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.

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.

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.

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.

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.

A Statistical Approach to Predict the Low Frequency Common Mode Current in Multi-Converter setups (2023)
Conference Proceeding

The aim of this paper is to explore a statistical approach to predict the distribution of the harmonics of common mode current in a setup consisting of N converters, knowing the common mode current for a single converter. To this end, we utilize Pear... Read More about A Statistical Approach to Predict the Low Frequency Common Mode Current in Multi-Converter setups.

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.

Dual Phase Shift Modulation Investigation of Half-Bridge-Active-Clamp Converter for Future Electrified Aircraft Applications (2023)
Conference Proceeding

Half bridge active clamp (HBAC) converter is designed for the achievement of a wider voltage conversion range, and it is employed to interface the power transfer between the high voltage and low voltage DC buses in future electrified aircraft applica... Read More about Dual Phase Shift Modulation Investigation of Half-Bridge-Active-Clamp Converter for Future Electrified Aircraft Applications.

Control Strategy of Advanced Power Generation Architecture for More-Electric Aircraft Applications (2023)
Conference Proceeding

To meet the increasing electrical power demand on More Electrical Aircraft (MEA), an advanced power generation architecture (APGA) is proposed. Within the APGA, both two generators produce electrical power and feed loads to the main DC bus through th... Read More about Control Strategy of Advanced Power Generation Architecture for More-Electric Aircraft Applications.

Preliminary Sensitivity Analysis and Optimisation of a Wound Field Synchronous Motor for Traction Applications (2023)
Conference Proceeding

The automotive field is switching to electric propulsion to guarantee a more efficient and sustainable transportation. Several motor configurations can be adopted for this purpose. Permanent magnet-based motors are usually preferred, but they are the... Read More about Preliminary Sensitivity Analysis and Optimisation of a Wound Field Synchronous Motor for Traction Applications.

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.