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387 results

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites

Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2020)
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. In Applications of Evolutionary Computation. EvoApplications 2020. , (117-132). https://doi.org/10.1007/978-3-030-43722-0_8
In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model r...

Visual Encodings for Networks with Multiple Edge Types

Conference Proceeding
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (in press)
Visual Encodings for Networks with Multiple Edge Types
This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. Our tasks and conditions were inspired by real proble...

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples

Conference Proceeding
Babaagba, K., Tan, Z., & Hart, E. (in press)
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples
Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this,...

An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes

Journal Article
Jiang, Y., Liu, Q., Dannah, W., Jin, D., Liu, X., & Sun, M. (2020)
An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes. Computers, Materials & Continua, 62(2), 713-729. https://doi.org/10.32604/cmc.2020.04604
Hadoop is a well-known parallel computing system for distributed computing and large-scale data processes. “Straggling” tasks, however, have a serious impact on task allocatio...

Commonsense-enhanced Natural Language Generation for Human-Robot Interaction

Conference Proceeding
Gkatzia, D. (in press)
Commonsense-enhanced Natural Language Generation for Human-Robot Interaction
Commonsense is vital for human communication, as it allows us to make inferences without explicitly mentioning the context. Equipping robots with commonsense knowledge would l...

Using MAP-Elites to support policy making around Workforce Scheduling and Routing

Journal Article
Urquhart, N., Hart, E., & Hutcheson, W. (2020)
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107
English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an arc...

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

Journal Article
Chen, J., Chen, K., Ding, C., Wang, G., Liu, Q., & Liu, X. (2020)
An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values. IEEE Access, 8, 4265-4272. https://doi.org/10.1109/access.2019.2963416
In recent years, Air Quality Index (AQI) have been widely used to describe the severity of haze and other air pollutions yet suffers from inefficiency and compatibility on rea...

A Review on Deep Learning Approaches to Image Classification and Object Segmentation

Journal Article
Wu, H., Liu, Q., & Liu, X. (2019)
A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595
Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Pr...

Photo-Realistic Facial Details Synthesis from Single Image

Conference Proceeding
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019)
Photo-Realistic Facial Details Synthesis from Single Image. In IEEE International Conference on Computer Vision (ICCV), (9429-9439
We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression ...

PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model

Journal Article
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019)
PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public Health, 16(24), https://doi.org/10.3390/ijerph16245102
At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes ...
59 results

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

Towards Guided Self-Organisation in Artificial Complex Systems: A Swarm Robotics Case Study

2020 - 2022
Swarm robotics refers to the design and coordination of large numbers of simple physical robots. Uses include environmental applications such as pollution monitoring in the oceans using aquatic robots...
Funder: Royal Society | Value: £11,500

Rigorous Graphical Explainable AI for Higher-Risk Applications

2020 - 2021
Deep Neural Networks (DNNs) are common in many areas, such as human‐robot interaction (HRI), natural language processing, and planning tasks, however, their use in high-risk industrial applications is...
Funder: Engineering and Physical Sciences Research Council | Value: £49,088

Bus Passenger Analytics

2020 - 2020
Passengers using the Lothian Buses network may use a smart card (Ridacard) to pay for their journey, swiping the card on boarding a vehicle. Smart card journeys account for about 1/3rd of journeys mad...
Funder: Data Lab | Value: £26,170

Extending a microservices architecture to support user functions and provide cloud APIs

2019 - 2020
Extending a containerised microservices architecture developed in the initial project to support a set of user functions required for the platform's MVP. Additionally, the project will deliver cloud A...
Funder: Scottish Funding Council | Value: £14,250

Multi-task, Multilingual, Multi-modal Language Generation

2019 - 2023
Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processin...
Funder: European Commission

KTP: Intelligent Agents

2019 - 2022
Improving customer experience through intelligent workflow
Funder: Innovate UK | Value: £268,152

Cloud platform containerised services design

2019 - 2019
This project will focus on the design and development of a distributed software architecture for the platform with innovative technology approaches. This includes microservices with containerisation, ...
Funder: Scottish Funding Council | Value: £5,000

Context-driven proactively Auto-recognising and Learning Met-bot for Meteorological Disaster Surveillance and Precautious Warning

2019 - 2021
The project aims to advance the autonomy of field robots with a novel approach to developing a new generation of Meteorological Drone Robots (Met-Bot) which will be context-driven, proactively auto-re...
Funder: Royal Society of Edinburgh | Value: £12,000

Autonomous Robot Evolution: Cradle to Grave

2018 - 2022
Robotics is changing the landscape of innovation. But traditional design approaches are not suited to novel or unknown habitats and contexts, for instance: robot colonies for ore mining, exploring or ...
Funder: Engineering and Physical Sciences Research Council | Value: £366,412
15 results

Application of evolutionary machine learning in metamorphic malware analysis and detection

2017 - date
Ms Kehinde Babaagba | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Emma Hart

Intermediated reality

2016 - date
Augmented Reality (AR) aims to extend the physical world through virtual content. To perform such addition in an unnoticeable way, a variety of technical constraints need to be su...
Llogari Casas Cambra | Director of Studies: Prof Kenny Mitchell | Second Supervisor: Dr Kevin Chalmers

Evolving planar mechanisms for the conceptual stage of mechanical design

2015 - date
Paul Lapok | Director of Studies: Alistair Lawson | Second Supervisor: Prof Ben Paechter

A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics

2013 - 2018
Swarm robotics is a special case within the general field of robotics. The distributed nature makes it...
Dr Andreas Steyven | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

The evaluation of data filtering criterial in wind turbine power performance assessment

2012 - 2019
Dr Brian Davison | Director of Studies: Prof Tariq Muneer | Second Supervisor: Prof Ahmed Al-Dubai

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

An approach to the semantic intelligence cloud

2010 - 2018
Dr Richard Greenwell | Director of Studies: Prof Xiaodong Liu | Second Supervisor: Dr Kevin Chalmers

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

Novel hyperheuristics applied to the domain of bin packing

2010 - 2014
Hyper-heuristics (HH) have been described as methodologies that aim to offer “good enough -soon enough - cheap enough” solutions to real world...
Dr Kevin Sim | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

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
20 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...

Neil Urquhart awarded Best Contribution to Information Society research theme.

23 July 2017
Neil Urquhart was awarded the Best Contribution to Information Society research theme award at the University Research Conference. Dr Urquhart has applied Artificial Intelligence methods based on evol...