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438 results

Visual Encodings for Networks with Multiple Edge Types

Conference Proceeding
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (2020)
Visual Encodings for Networks with Multiple Edge Types. In AVI '20: Proceedings of the International Conference on Advanced Visual Interfaces. https://doi.org/10.1145/3399715.3399827
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...

A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings

Journal Article
Liu, Q., Nakoty, F. M., Wu, X., Anaadumba, R., Liu, X., Zhang, Y., & Qi, L. (2020)
A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings. Computer Communications, 162, 187-195. https://doi.org/10.1016/j.comcom.2020.08.024
Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on sign...

PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism

Journal Article
Chen, J., Chen, K., Wang, G., Wu, L., Liu, X., & Wei, G. (2019)
PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism. International Journal of Environmental Research and Public Health, 16(7), 1-21. https://doi.org/10.3390/ijerph16071159
In this paper, a vector autoregression (VAR) model has been constructed in order to analyze a two-way mechanism between PM2.5 pollution and industry development in Beijing via...

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...

Athos - A Model Driven Approach to Describe and Solve Optimisation Problems

Conference Proceeding
Hoffman, B., Chalmers, K., Urquhart, N., & Guckert, M. (2019)
Athos - A Model Driven Approach to Describe and Solve Optimisation Problems. https://doi.org/10.1145/3300111.3300114
Implementing solutions for optimisation problems with general purpose high-level programming languages is a time consuming task that can only be carried out by professional so...

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks

Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022)
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584
The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solu...

Ontology-Driven Automated Generation of Data Entry Interfaces to Databases

Conference Proceeding
Cannon, A., Kennedy, J. B., Paterson, T., & Watson, M. F. (2004)
Ontology-Driven Automated Generation of Data Entry Interfaces to Databases. In H. Williams, & L. Mackinnon (Eds.), Key Technologies for Data Management; Lecture Notes in Computer Science, 150-164. doi:10.1007/978-3-540-27811-5_15
This paper discusses an ontology based approach for the automatic generation of data entry interfaces to databases. An existing domain ontology is mapped to a system domain mo...

Visual Exploration of Alternative Taxonomies through Concepts

Journal Article
Graham, M., & Kennedy, J. (2007)
Visual Exploration of Alternative Taxonomies through Concepts. Ecological Informatics, 2, 248-261. https://doi.org/10.1016/j.ecoinf.2007.07.004
A graphical user interface is presented that allows users of taxonomic data to explore concept relationships between conflicting but related taxonomic classifications. Ecolog...

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2016)
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In Parallel Problem Solving from Nature – PPSN XIV; Lecture Notes in Computer Science. , (921-931). https://doi.org/10.1007/978-3-319-45823-6_86
It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear e...

A survey on rainfall forecasting using artificial neural network

Journal Article
Liu, Q., Zou, Y., Liu, X., & Linge, N. (2019)
A survey on rainfall forecasting using artificial neural network. International Journal of Embedded Systems, 11(2), 240-249. https://doi.org/10.1504/ijes.2018.10016095
Rainfall has a great impact on agriculture and people’s daily travel, so accurate prediction of precipitation is well worth studying for researchers. Traditional methods like ...

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63 results

Life Long Learning Hyper Heuristic Optimisation

2012 - 2015
This project aims to improve the current state of the art in developing optimisation tools which are relevant and acceptable to industry. This will be achieved by addressing industrial current concer...
Funder: Engineering and Physical Sciences Research Council | Value: £238,068

Plansafe - Follow on voucher

2015 - 2016
This is a follow-on innovation voucher project to further develop a software system which will fully document Statutory Examinations of lifting, pressure and LEV equipment. The solution will involve a...
Funder: Scottish Funding Council | Value: £35,837

DataLab_LarderLoad

2016 - 2016
Analysis of transactional data provided by real time cloud based ordering systems linked within the food supply chain which targets Foodservice sector
Funder: Data Lab | Value: £19,807

EverythingPast - map based archive proof-of-concept

2016 - 2016
'EverythingPast' is a global project that will link together and make accessible public, private and personal archive through a unique map-led interface. The website will create an unprecedented multi...
Funder: Scottish Funding Council | Value: £5,000

Research visit @ University of Bielefeld

2017 - 2017
Research exchange with the Bielefeld Dialogue Systems group
Funder: The Scottish Informatics & Computer Science Alliance | Value: £2,475

TrueBuild Usable Building Regulations

2014 - 2015
The TrueBuild app is a resource delivered by Smart ‘Phone (either IOS or Android) to help builders access and interpret Building Regulations quickly and easily whilst on site.
Funder: Scottish Funding Council | Value: £5,000

7Ahead

2014 - 2014
This project seeks to develop a digital magazine concept as a means of differentiation and to satisfy the perceived demand for customised additional content such as event reviews, images, video and ne...
Funder: Scottish Government | Value: £5,000

Context-Active Resilience in Cyber Physical systems (CAR)

2016 - 2018
This European Fellowship project will benefit the researcher by giving and enhancing the knowledge and skills for a future generation of CPSs which enjoy the unique feature of context-active resilienc...
Funder: European Commission | Value: £127,083

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

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

2019 - 2022
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
20 results

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

17 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

17 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

14 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

19 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

15 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

19 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.

24 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...
29 results