All Outputs (714)

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN.
Presentation / Conference Contribution
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. Paper presented at British Machine Vision Conference 2018, BMVC 2018, Northumbria University

© 2018. The copyright of this document resides with its authors. Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, thes... Read More about Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN..

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease
Presentation / Conference Contribution
Alabed, A., Kambhampati, C., & Gordon, N. Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. Presented at Computing 2020, London

A great wealth of information is hidden in clinical datasets, which could be analyzed to support decision-making processes or to better diagnose patients. Feature selection is one of the data pre-processing that selects a set of input features by rem... Read More about Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease.

A runtime safety analysis concept for open adaptive systems
Presentation / Conference Contribution
Kabir, S., Sorokos, I., Aslansefat, K., Papadopoulos, Y., Gheraibia, Y., Reich, J., Saimler, M., & Wei, R. A runtime safety analysis concept for open adaptive systems. Presented at Model-Based Safety and Assessment (IMBSA 2019), Thessaloniki, Greece

© Springer Nature Switzerland AG 2019. In the automotive industry, modern cyber-physical systems feature cooperation and autonomy. Such systems share information to enable collaborative functions, allowing dynamic component integration and architectu... Read More about A runtime safety analysis concept for open adaptive systems.

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures
Presentation / Conference Contribution
Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Presented at IMBSA: International Symposium on Model-Based Safety and Assessment, Lisbon

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with... Read More about SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.

Refining the Teaching of Programming
Presentation / Conference Contribution
Gordon, N., Cargill, M., Grey, S., & Brayshaw, M. (2020, July). Refining the Teaching of Programming. Presented at INSPIRE XXV: e-Learning as a Solution during Unprecedented Times in the 21st Century, Online

This paper considers issues around the teaching of programming, a critical yet challenging part of the computing education at all levels. This paper begins by outlining some of the key concerns around computing education-from secondary school, throug... Read More about Refining the Teaching of Programming.

Identifying Gaps in Cybersecurity Teaching and Learning
Presentation / Conference Contribution
Brayshaw, M., Gordon, N., & Karatazgianni, A. (2020, July). Identifying Gaps in Cybersecurity Teaching and Learning. Presented at INSPIRE XXV : e-Learning as a solution during unprecedented times in the 21st Century

This paper explores perceptions and expectations of privacy when using computer-mediated communication and social media. In this paper we present the results of an empirical survey into this topic and explore the pedagogic implications for the teachi... Read More about Identifying Gaps in Cybersecurity Teaching and Learning.

Failure Mode Reasoning in Model Based Safety Analysis
Presentation / Conference Contribution
Jahanian, H., Parker, D., Zeller, M., McIver, A., & Papadopoulos, Y. Failure Mode Reasoning in Model Based Safety Analysis. Presented at International Symposium on Model-Based Safety and Assessment, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate potential failures in parts of... Read More about Failure Mode Reasoning in Model Based Safety Analysis.

An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems
Presentation / Conference Contribution
Bressan, L., de Oliveira, A. L., Campos, F., Papadopoulos, Y., & Parker, D. An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems. Presented at Model-Based Safety and Assessment 7th International Symposium, IMBSA 2020, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Component-based approaches and software product lines have been adopted by industry to manage the diversity of configurations on safety-critical software. Safety certification demands compliance with standards.... Read More about An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems.

Non-coherent modelling in compositional fault tree analysis
Presentation / Conference Contribution
Sharvia, S., & Papadopoulos, Y. I. Non-coherent modelling in compositional fault tree analysis

The inclusion of NOT gates in a fault tree creates a 'non-coherent' structure in which not only the failure of a component but also the negation of failure, i.e. the working state of the component, can contribute to the undesirable effects on a syste... Read More about Non-coherent modelling in compositional fault tree analysis.

Formulated silhouettes for sketching terrain
Presentation / Conference Contribution
Whelan, J. C., & Visvalingam, M. (2003, June). Formulated silhouettes for sketching terrain. Presented at Theory and Practice of Computer Graphics, TPCG 2003, Birmingham, UK

The mathematical definition of silhouettes within NPAR is based on the assumption that they are the eye-centered projections of occluding contours on an imaging plane. However, occluding contours are insufficient for sketching the silhouettes of hill... Read More about Formulated silhouettes for sketching terrain.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Presented at The Science of Making Torque from Wind (TORQUE 2020), Online, Netherlands

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, July). A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK

© 2020 IEEE. Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines an... Read More about A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

The Role of Gamification in a Software Development Lifecycle
Presentation / Conference Contribution
Gordon, N., Brayshaw, M., Dixon, J., Grey, S., & Parker, D. (2021, June). The Role of Gamification in a Software Development Lifecycle. Presented at INSPIRE XXVI International e-conference, Online

Teaching Software Engineering students raises a number of challenges; in particular that student developers typically demonstrate behaviours that run counter to good software development. These include failing to plan properly, failing to develop the... Read More about The Role of Gamification in a Software Development Lifecycle.

Comparative review of pipelines monitoring and leakage detection techniques
Presentation / Conference Contribution
Aljuaid, K. G., Albuoderman, M. A., Alahmadi, E. A., & Iqbal, J. (2020, October). Comparative review of pipelines monitoring and leakage detection techniques. Presented at 2nd International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia

The oil and gas industry owns expensive and widely-spread assets. Any fault in this complex transportation network may result in accidents and/or huge losses thereby triggering various environmental and economic issues. Thus, real-time monitoring and... Read More about Comparative review of pipelines monitoring and leakage detection techniques.

Modeling and Robust Control of Twin Rotor MIMO System
Presentation / Conference Contribution
Shah, S. H., Khan, S. G., Iqbal, J., & Alharthi, M. (2019, October). Modeling and Robust Control of Twin Rotor MIMO System. Presented at 2019 International Conference on Robotics and Automation in Industry (ICRAI)

Recently, unmanned aerial vehicles (UAVs) have witnessed immense popularity in various fields, ranging from surveillance, rescue, and fire fighting to other more sophisticated military and commercial applications. However, due to their highly nonline... Read More about Modeling and Robust Control of Twin Rotor MIMO System.

Control of flexible joint robotic manipulator: Design and prototyping
Presentation / Conference Contribution
Alam, W., Ali, N., Wahaj Aziz, H. M., & Iqbal, J. (2018, February). Control of flexible joint robotic manipulator: Design and prototyping. Presented at International Conference on Electrical Engineering (ICEE), Lahore, Pakistan

Robots are now an integral part of automation sector, thus indicating the importance of the associated control strategies. In contrast with conventional rigid manipulators, flexible arms offer several benefits in terms of light weight and power effic... Read More about Control of flexible joint robotic manipulator: Design and prototyping.

Taxi model of unmanned aerial vehicle: Formulation and simulation
Presentation / Conference Contribution
Wasim, M., Ullah, M., & Iqbal, J. (2018, April). Taxi model of unmanned aerial vehicle: Formulation and simulation. Presented at 1st International Conference on Power, Energy and Smart Grid (ICPESG), Mirpur Azad Kashmir, Pakistan

Unmanned Aerial Vehicles cannot work efficiently without a control system. Before any form of control is applied to it, modeling of the system is necessary. This work focuses on the development of a Taxi model of UAV. The reformulated model has been... Read More about Taxi model of unmanned aerial vehicle: Formulation and simulation.

Design and analysis of 300MW solar configuration and its comparison with Quaid-e-Azam solar park
Presentation / Conference Contribution
Akram, I., Awais, M., Bashir, A., Khan, R. A. J., & Iqbal, J. (2018, February). Design and analysis of 300MW solar configuration and its comparison with Quaid-e-Azam solar park. Presented at 2018 International Conference on Engineering and Emerging Technologies (ICEET) 2018

Pakistan's recent energy crisis demands efficient utilization of renewable energy resources. The country, being richest with respect to solar potential, is experiencing a remarkable progress in power generation from Photovoltaic sources. Quaid-e-Azam... Read More about Design and analysis of 300MW solar configuration and its comparison with Quaid-e-Azam solar park.

Super twisting control algorithm for blood glucose regulation in type 1 diabetes patients
Presentation / Conference Contribution
Alam, W., Ali, N., Ahmad, S., & Iqbal, J. (2018, January). Super twisting control algorithm for blood glucose regulation in type 1 diabetes patients. Presented at 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan

This is an increasing belief that consequences due to hyperglycemia can be mitigated using a close loop control system. This paper investigates a robust non-linear control approach based on sliding mode control (SMC) algorithm for type 1 diabetes pat... Read More about Super twisting control algorithm for blood glucose regulation in type 1 diabetes patients.