Date


People

Download Available

Dewey Decimal

484 results

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges

Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., …Xu, X. (2023)
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943
Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and pra...

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World

Book
Urquhart, N. (2022)
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer. https://doi.org/10.1007/978-3-030-98108-2
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introdu...

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)

Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...

Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches

Journal Article
Alissa, M., Sim, K., & Hart, E. (in press)
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. Journal of Heuristics, https://doi.org/10.1007/s10732-022-09505-4
We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in o...

An Empirical Evaluation of a Novel Domain-Specific Language -- Modelling Vehicle Routing Problems with Athos

Journal Article
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2022)
An Empirical Evaluation of a Novel Domain-Specific Language -- Modelling Vehicle Routing Problems with Athos. Empirical Software Engineering, 27, Article 180. https://doi.org/10.1007/s10664-022-10210-w
Domain-specific languages (DSLs) are a popular approach among software engineers who demand for a tailored development interface. A DSL-based approach allows to encapsulate th...

Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations

Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.
Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measu...

Modelling the Impact of Individual Preferences on Traffic Policies

Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022)
Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3
Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate inter...

A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars

Journal Article
Yang, Z., Wu, H., Liu, Q., Liu, X., Zhang, Y., & Cao, X. (in press)
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars. ISA Transactions, https://doi.org/10.1016/j.isatra.2022.06.046
In recent years, the number of weather-related disasters significantly increases across the world. As a typical example, short-range extreme precipitation can cause severe flo...

CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

Journal Article
Yang, Z., Liu, Q., Wu, H., Liu, X., & Zhang, Y. (2023)
CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets. Computer Modeling in Engineering and Sciences, 135(1), 45-64. https://doi.org/10.32604/cmes.2022.022045
Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upc...

Near-Data Prediction Based Speculative Optimization in a Distribution Environment

Journal Article
Liu, Q., Wu, X., Liu, X., Zhang, Y., & Hu, Y. (in press)
Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Mobile Networks and Applications, https://doi.org/10.1007/s11036-021-01793-7
Hadoop is an open source from Apache with a distributed file system and MapReduce distributed computing framework. The current Apache 2.0 license agreement supports on-demand ...

Date


68 results

On the executability and malicious retention of adversarial malware samples generated using adversarial learning.

2023 - 2023
A SICSA Sponsored Research Theme Event Machine Learning (ML) models have been shown to be vulnerable to adversarial examples designed to fool ML models to classify them as benign rather than malicious...
Funder: The Scottish Informatics & Computer Science Alliance

Cloud based distribution system to tackle food poverty

2022 - 2023
Local food sectors, e.g. Foodbanks, still rely on paper-based referral systems whilst continuing to see increasing demand. In addition, the model of direct hand-outs of food parcels and electricity vo...
Funder: Scottish Funding Council | Value: £570

Sentinel: Security alert level automation

2021 - 2022
Prototype a SaaS platform for automation of risk assessment, management and associated security alerts as a service in high risk areas of the world. The core will be implementation of a prototype ma...
Funder: Scottish Funding Council | Value: £5,000

AI for Plant Image Analysis: where we are and whats next?

2021 - 2023
The workshop has two aims: (i) offering training sessions on how to develop deep networks to people involved in plant biology; (ii) analyse their current provision
Funder: The University of Nottingham | Value: £5,400

ChargeBreak - Electric Vehicle Suitability Tool

2021 - 2021
This partnership will deliver a tool which utilises Big Data processes and methodologies to simplify the selection of EVs. This will enable uptake of EVs across commercial fleets in a manner which is ...
Funder: Scottish Funding Council | Value: £5,000

A Reinforcement Learning Based Resource Management System for Long Term Care for Elderly People

2021 - 2024
A reinforcement learning method will model the behaviour of community care organisations with sequential decision processes focusing on organising the distribution, procurement and management of daily...
Funder: Royal Society of Edinburgh | Value: £11,200

CAROUSEL+ Telepresent Dance Reducing Social Distancing

2021 - 2024
CAROUSEL focuses on how Augmented Reality (AR) and Artificial Intelligence (AI) technologies improve the quality of experience and social interaction in the frame of live virtual and hybrid events in ...
Funder: European Commission | Value: £864,628

Personal wellbeing through machine learning

2020 - 2021
Third Platform Technologies proposes a mental health mobile app that uses data and personal insights to empower people to lead more conscious, fulfilled and purposeful lives, on a global basis. A pers...
Funder: Scottish Funding Council | Value: £4,800

CiViL: Common-sense- and Visual-enhanced natural Language generation

2020 - 2023
One of the most compelling problems in Artificial Intelligence is to create computational agents capable of interacting in real-world environments using natural language. Computational agents such as ...
Funder: Engineering and Physical Sciences Research Council | Value: £280,060

Hyperheuristics for infrastructure system optimisation

2020 - 2020
Continuum Industries novel software tech allows engineers to automate their work and evaluate millions of possible combinations of design parameters. Primary application lies in linear infrastructure ...
Funder: Data Lab | Value: £19,599
7 results

Visualisation support for biological Bayesian network inference

2015 - 2019
Network models are often created to describe interactions between components in biological systems. At a molecular level the involved com...
Thanasis Vogogias | Director of Studies: Prof Jessie Kennedy

Visualisation techniques to facilitate argument exploration

2015 - 2020
Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially...
Dana Khartabil | Director of Studies: Dr Simon Wells | Second Supervisor: Prof Jessie Kennedy

Towards a unified method to synthesising scenarios and solvers in combinatorial optimisation via graph-based approaches

2015 - 2020
Christopher Stone | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

Mango: A model-driven approach to Engineering Green Mobile Cloud Applications

2012 - 2017
With the growing need of the industry and due to high business demands, there have consequently been high demands of IT pro...
Mr Samuel Chinenyeze | Director of Studies: Prof Xiaodong Liu | Second Supervisor: Prof Ahmed Al-Dubai

Tasks and visual techniques for exploration of temporal graph data

2010 - 2017
Dr Natalie Kerracher | Director of Studies: Dr Kevin Chalmers | Second Supervisor: Prof Jessie Kennedy

Investigating communicating sequential processes for Java to support ubiquitous computing

2005 - 2009
Ubiquitous Computing promises to enrich our everyday lives by enabling the environment to be enhanced via compu...
Dr Kevin Chalmers | Director of Studies: Prof Jon Kerridge | Second Supervisor: Dr Imed Romdhani

Visualising Multiple Overlapping Classification Hierarchies

1998 - 2002
The revision or reorganisation of hierarchical data sets can result in many possible hierarchical classifications composed of the same or ove...
Dr Martin Graham | Director of Studies: Prof Jessie Kennedy | Second Supervisor: Prof David Benyon
22 results

Prof. Emma Hart invited to join Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

16 September 2019
Prof. Emma Hart has been invited by Minister Kate Forbes to join a Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

Researchers from Nature-Inspired Intelligent Systems group win Best Paper Award@GECCO 2019

16 July 2019
PhD student Mohamad Alissa with supervisors Dr Kevin Sim and Prof. Emma Hart won the Best Paper award in the ECOM track at GECCO 2019 in Prague for their paper: Algorithm Selection Using Deep Learnin...

Prof . Emma Hart gives interview "An Insider's Guide to Evolutionary Computation"

17 December 2018
Laura van Beers from ContactEngine, a London based company delivering software that enables its customers to proactively engage customers in AI-driven conversations to fulfil their business objective...

Prof. Emma Hart invited to talk at Scotland IS Software Engineering Leader's Forum to discuss SICSA's work on AI

20 November 2018
Prof. Emma Hart gave an invited talk at the monthly meet-up of the Scotland IS Software Engineering forum on behalf of the SICSA AI theme to describe the work taking place across Scottish Universities...

Prof. Emma Hart interviewed in new video released by Sentient AI to provide unique insights to business leaders on the growing applicability of evolutionary computation

13 August 2018
Sentient Technologies, a world leader in artificial intelligence (AI) products based on evolutionary computation, today announced a new video collection that provides unique insights to the burgeonin...

Prof. Emma Hart and Dr Kevin Sim win Bronze Award in International Humies competition for work on predicting wind damage in Forestry

18 July 2018
The Annual Humies prize is awarded at the International Conference on Genetic and Evolutionary Computation for human-competitive results that have been produced by any form of genetic and evolutionar...

Evolutionary Robotics Research Nominated for Best Paper Award

14 July 2018
Prof. Emma Hart, Dr Andreas Steyven and Prof. Ben Paechter have been nominated for a prestigious best paper award at the GECCO 18, Kyoto, Japan for new work in evolving a diverse team of swarm robot...

Prof. Emma Hart invited as a keynote speaker at IJCCI in Funchal, Madeira, November 2017

1 November 2017
The International Joint Conference on Computational Intelligence brings together researchers, engineers and practitioners interested in the field of Computational Intelligence both from theoretical an...

Dr. Simon Powers has been appointed as an Associate Editor for Adaptive Behavior

18 October 2017
Adaptive Behavior is an indexed, international peer reviewed journal that publishes articles on adaptive behavior in biological systems and autonomous artificial systems. Dr. Simon Powers has been inv...

Dr. Simon Powers is invited as the keynote speaker at the Second International Workshop of Social Learning and Cultural Evolution

26 August 2017
Simon Powers will give the keynote talk at the Second International Workshop of Social Learning and Cultural Evolution, part of the European Conference on Artificial Life held in Lyon, France, 4th Sep...
31 results

Seminar: The evolutionary iron law of oligarchy

Wednesday 11th December, 4-5pm C44
11 December 2019

School of Computing PhD Workshop Series - Final Event

16:00 in CoRe44 (room C44) Merchiston Campus
31 October 2018

Engineering Sustainable and Adaptive systems in Dynamic and Unpredictable Environments - School of Computing Seminar Series

14:00 in CoRe44, room C44, Merchiston Campus
13 June 2018

Evolutionary robotics: a tool to understand and design collective behaviours in collective adaptive systems - School of Computing Seminar Series

Core44, Room C44, Merchiston Campus
7 June 2018

Do's and Don'ts for Writing a Thesis - School of Computing PhD Workshop Series

16:00 CoRe44, room C44 Merchiston
5 June 2018

eScience at UCPH & Ubiquitous Data Analysis for MUMMERING - School of Computing Seminar Series

14:00 in CoRe44, room C44, Merchiston Campus
15 May 2018

Pint of Science: Mother Nature Knows Best (Lessons for a Computer Scientist)

Frankenstein Bar, 26 George IV Bridge, Edinburgh
15 May 2018

Connect the dots and spot the gaps - School of Computing PhD Workshop Series

16:00 in Core44, room C44, Merchiston campus
1 May 2018

IT Management Research at Polytechnic School of the University of Sao Paulo - School of Computing Seminar Series

11:00, CORE44, room C44 Mechiston Campus
26 April 2018

Equality, hierarchy, oligarchy: Model-driven investigation of the evolutionary origins of social organization - School of Computing Seminar Series

15:00 in Core44, room C44 Merchiston Campus
24 April 2018