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198 results

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

Book
Urquhart, N. (in press)
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer

Deep Learning in Mobile Computing: Architecture, Applications, and Future Challenges

Journal Article
Yang, X., Tan, Z., & Luo, Z. (2021)
Deep Learning in Mobile Computing: Architecture, Applications, and Future Challenges. Mobile Information Systems, 2021, 1-3. https://doi.org/10.1155/2021/9874724
No abstract available.

Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection

Journal Article
Cui, C., Lu, L., Tan, Z., & Hussain, A. (2021)
Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection. Neurocomputing, 464, 252-264. https://doi.org/10.1016/j.neucom.2021.08.026
Segmentation-based methods are widely used for scene text detection due to their superiority in describing arbitrary-shaped text instances. However, two major problems still e...

On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme

Conference Proceeding
Goff, L. K. L., & Hart, E. (2021)
On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme. In GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (1498-1502). https://doi.org/10.1145/3449726.3463156
We investigate a hierarchical scheme for the joint optimisation of robot bodies and controllers in a complex morphological space. An evolutionary algorithm optimises body-plan...

A novel tensor-information bottleneck method for multi-input single-output applications

Journal Article
Lu, L., Ren, X., Cui, C., Tan, Z., Wu, Y., & Qin, Z. (2021)
A novel tensor-information bottleneck method for multi-input single-output applications. Computer Networks, 193, https://doi.org/10.1016/j.comnet.2021.108088
Ensuring timeliness and mobility for multimedia computing is a crucial task for wireless communication. Previous algorithms that utilize information channels, such as the info...

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets

Conference Proceeding
Pitt, J., Burth Kurka, D., Hart, E., & Cardoso, R. P. (2021)
WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. In Applications of Evolutionary Computation: EvoApplications 2021 Proceedings. , (649-664). https://doi.org/10.1007/978-3-030-72699-7_41
In order to address scalability issues, which can be a challenge for Deep Learning methods, we propose Wide Learning of Diverse Architectures-a model that scales horizontally ...

Vehicular Computation Offloading for Industrial Mobile Edge Computing

Journal Article
Zhao, L., Yang, K., Tan, Z., Song, H., Al-Dubai, A., & Zomaya, A. (2021)
Vehicular Computation Offloading for Industrial Mobile Edge Computing. IEEE Transactions on Industrial Informatics, 17(11), 7871-7881. https://doi.org/10.1109/TII.2021.3059640
Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to othe...

Evolution of Diverse, Manufacturable Robot Body Plans

Conference Proceeding
Buchanan, E., Le Goff, L., Hart, E., Eiben, A. E., De Carlo, M., Li, W., …Tyrrell, A. M. (2020)
Evolution of Diverse, Manufacturable Robot Body Plans. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2132-2139). https://doi.org/10.1109/SSCI47803.2020.9308434
Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robot...

Improved Adaptive Impedance Matching for RF Front-End Systems of Wireless Transceivers

Journal Article
Alibakhshikenari, M., Virdee, B. S., Shukla, . P., See, C. H., Abd-Alhameed, R., Falcone, F., & Limiti, . E. (2020)
Improved Adaptive Impedance Matching for RF Front-End Systems of Wireless Transceivers. Scientific Reports, 10(1), https://doi.org/10.1038/s41598-020-71056-0
In this paper an automatic adaptive antenna impedance tuning algorithm is presented that is based on quantum inspired genetic optimization technique. The proposed automatic qu...

Study on Improvement of the Performance Parameters of a Novel 0.41-0.47 THz On-Chip Antenna Based on Metasurface Concept Realized on 50um GaAs-Layer

Journal Article
Alibakhshikenari, M., Virdee, B. S., See, C. H., Shukla, P., Salekzamankhani, S., Abd-Alhameed, R., …Limiti, E. (2020)
Study on Improvement of the Performance Parameters of a Novel 0.41-0.47 THz On-Chip Antenna Based on Metasurface Concept Realized on 50um GaAs-Layer. Scientific Reports, 10(1), https://doi.org/10.1038/s41598-020-68105-z
A feasibility study is presented on the performance parameters of a novel on-chip antenna based on metasurface technology at terahertz band. The proposed metasurface on-chip a...
29 results

AI for Plant Image Analysis: where we are and what’s next?

2021 - 2022
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

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

2021 - 2023
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

Keep Learning

2021 - 2024
The project proposes a novel architecture for designing optimisation systems that “keeps learning” when exposed to a continual stream of instances: these systems will autonomously adapt their compone...
Funder: Engineering and Physical Sciences Research Council | Value: £388,219

KTP Ace Aquatec

2021 - 2023
To develop, test and incorporate Innovative AI based approaches to improve accuracy of Individual fish identification and sea lice detection.
Funder: Innovate UK | Value: £265,334

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

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

Optimisation of AirNode mesh nets

2019 - 2020
Urban air quality affects the lives of millions, according to WHO statistics air quality contributes to 6.7% of all deaths worldwide. Managing air quality in urban areas is now a priority for governme...
Funder: Scottish Funding Council | Value: £5,000

KTP: Intelligent Agents

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

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
7 results

Application of evolutionary machine learning in metamorphic malware analysis and detection

2017 - 2021
Dr Kehinde Babaagba | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Emma Hart

Evolving planar mechanisms for the conceptual stage of mechanical design

2015 - 2020
Dr 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

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

Solving a real world routing proglem using evolutionary algorithms and multi-agent systems

1999 - 2003
Dr Neil Urquhart | Director of Studies: Peter Ross | Second Supervisor: Prof Ben Paechter
16 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...

CAVES researchers have 3 papers accepted at GECCO 2017

14 July 2017
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017. Accepted papers are: ...

Prof. Emma Hart gives invited talk at a Symposium on "Hacking the Immune System"

17 February 2017
This one-day symposium organised at the Radboud University Medical Centre brought together international scientists in the field of tumor immunology, computational and artificial immune systems. Pro...