All Outputs (127)

Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities (2019)
Book Chapter
Moemeni, A., Gatward, R., Kankeviciene, L., & Pyko, A. (2019). Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities. In J. Carter, & C. Rosen (Eds.), Transnational Higher Education in Computing Courses: Experiences and Reflections (61-69). Springer. https://doi.org/10.1007/978-3-030-28251-6_5

EU-Funded ERASMUS Capacity Building in Higher Education project called ‘Innovative ICT Education for Socio-Economic Development (IESED 2017–2019)’ has been established in the consortium of five Belarusian (BY) Higher Education Institutions (HEIs) as... Read More about Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities.

Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities (2019)
Book Chapter
Moemeni, A., Gatward, R., Kankeviciene, I., & Pyko, A. (2019). Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities. In J. Carter, & C. Rosen (Eds.), Transnational Higher Education In Computing Courses: Experiences and Reflections (61-69). (1). Springer Nature. https://doi.org/10.1007/978-3-030-28251-6

EU-Funded ERASMUS Capacity Building in Higher Education project called ‘Innovative ICT Education for Socio-Economic Development (IESED 2017–2019)’ has been established in the consortium of five Belarusian (BY) Higher Education Institutions (HEIs) as... Read More about Revising ICT Programmes Through Learning Outcome Alignment: A Practical Exercise in Belarusian Universities.

Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease (2019)
Journal Article
Agostini, A., Yuchun, D., Li, B., Kendall, D. A., & Pardon, M.-C. (2020). Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease. Brain, Behavior, and Immunity, 83, 87-111. https://doi.org/10.1016/j.bbi.2019.09.019

Systemic inflammation enhances the risk and progression of Alzheimer's disease (AD). Lipopolysaccharide (LPS), a potent pro-inflammatory endotoxin produced by the gut, is found in excess levels in AD where it associates with neurological hallmarks of... Read More about Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease.

Supporting data for "RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures" (2019)
Data
French, A., Wells, D. M., Atkinson, J., Pound, M., Yasrab, R., & Pridmore, T. (2019). Supporting data for "RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures". [Data]. https://doi.org/10.5524/100651

We present a new image analysis approach that provides fully-automatic extraction of complex root system architectures from a range of plant species in varied imaging setups. Driven by modern deep-learning approaches, RootNav 2.0 replaces previously... Read More about Supporting data for "RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures".

The Audible Artefact: Promoting Cultural Exploration and Engagement with Audio Augmented Reality (2019)
Presentation / Conference Contribution
Cliffe, L., Mansell, J., Cormac, J., Greenhalgh, C., & Hazzard, A. (2019, September). The Audible Artefact: Promoting Cultural Exploration and Engagement with Audio Augmented Reality. Presented at Audio Mostly 2019, Nottingham, UK

This paper introduces two ongoing projects where audio augmented reality is implemented as a means of engaging museum and gallery visitors with audio archive material and associated objects, artworks and artefacts. It outlines some of the issues surr... Read More about The Audible Artefact: Promoting Cultural Exploration and Engagement with Audio Augmented Reality.

Augmenting Guitars for Performance Preparation (2019)
Presentation / Conference Contribution
Martinez Avila, J. P. M., Hazzard, A., Greenhalgh, C., & Benford, S. (2019, September). Augmenting Guitars for Performance Preparation. Presented at AM'19: Audio Mostly Conference, Nottingham, UK

A substantial number of Digital Musical Instruments (DMIs) are built upon existing musical instruments by digitally and physi- cally intervening in their design and functionality to augment their sonic and expressive capabilities. These are commonly... Read More about Augmenting Guitars for Performance Preparation.

Adaptive Musical Soundtracks: from in-game to on the street (2019)
Presentation / Conference Contribution
Hazzard, A., & Greenhalgh, C. (2019, September). Adaptive Musical Soundtracks: from in-game to on the street. Presented at Audio Mostly 2019, Nottingham, United kingdom

We describe the challenges of creating location-based adaptive musical soundtracks, which we try to address via the iterative development of daoplayer, a tool to create such media experiences. Daoplayer is broadly modelled on the functionality of com... Read More about Adaptive Musical Soundtracks: from in-game to on the street.

Using agent-based modelling for investigating modal shift: The case of university travel (2019)
Journal Article
Olusola, F. T., Siebers, P.-O., Faboya, O., Ryan, B., & Figueredo, G. P. (2020). Using agent-based modelling for investigating modal shift: The case of university travel. Computers and Industrial Engineering, 139, Article 106077. https://doi.org/10.1016/j.cie.2019.106077

© 2019 Travel mode choices are a result of several factors and how they affect individual travellers. This paper examines those factors influencing travellers’ mode choices commuting to and from a university. Furthermore, we investigate how a shift t... Read More about Using agent-based modelling for investigating modal shift: The case of university travel.

On the Choice of Similarity Measures for Type-2 Fuzzy Sets (2019)
Journal Article
McCulloch, J., & Wagner, C. (2020). On the Choice of Similarity Measures for Type-2 Fuzzy Sets. Information Sciences, 510, 135-154. https://doi.org/10.1016/j.ins.2019.09.027

Similarity measures are among the most common methods of comparing type-2 fuzzy sets and have been used in numerous applications. However, deciding how to measure similarity and choosing which existing measure to use can be difficult. Whilst some mea... Read More about On the Choice of Similarity Measures for Type-2 Fuzzy Sets.

Dual memory network model for sentiment analysis of review text (2019)
Journal Article
Shen, J., Ma, M. D., Xiang, R., Lu, Q., Vallejos, E. P., Xu, G., Long, Y., & Huang, C.-R. (2019). Dual memory network model for sentiment analysis of review text. Knowledge-Based Systems, 188, Article 105004. https://doi.org/10.1016/j.knosys.2019.105004

In sentiment analysis of product reviews, both user and product information are proven to be useful. Current works handle user profile and product information in a unified model which may not be able to learn salient features of users and products ef... Read More about Dual memory network model for sentiment analysis of review text.

Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints (2019)
Journal Article
Karapetyan, D., J. Parkes, A., Gutin, G., & Gagarin, A. (2019). Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints. Journal of Artificial Intelligence Research, 66, 85-122. https://doi.org/10.1613/jair.1.11339

The fixed parameter tractable (FPT) approach is a powerful tool in tackling computationally hard problems. In this paper, we link FPT results to classic artificial intelligence (AI) techniques to show how they complement each other. Specifically, we... Read More about Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints.

Identifying Aircraft Passenger Postures and Factors Influencing Body Part Discomfort (2019)
Presentation / Conference Contribution
Sharafkhani, M., Argyle, E., Cobb, S., Tennent, P., & Houghton, R. (2019, August). Identifying Aircraft Passenger Postures and Factors Influencing Body Part Discomfort. Presented at International Comfort Congress 2019, Delft, The Netherlands

Aircraft passengers’ physical activity levels are often limited during flight for extended periods of time, which can have serious impact on health, comfort, and passenger experience. Passengers are generally advised to walk around the plane and do c... Read More about Identifying Aircraft Passenger Postures and Factors Influencing Body Part Discomfort.

Progressivity for voice interface design (2019)
Presentation / Conference Contribution
Fischer, J. E., Reeves, S., Porcheron, M., & Sikveland, R. O. (2019, August). Progressivity for voice interface design. Presented at 1st International Conference on Conversational User Interfaces, Dublin, Ireland

Drawing from Conversation Analysis (CA), we examine how the orientation towards progressivity in talk--keeping things moving--might help us better understand and design for voice interactions. We introduce progressivity by surveying its explication i... Read More about Progressivity for voice interface design.

Call-by-need is clairvoyant call-by-value (2019)
Journal Article
Hackett, J., & Hutton, G. (2019). Call-by-need is clairvoyant call-by-value. Proceedings of the ACM on Programming Languages, 3(ICFP), 1-21. https://doi.org/10.1145/3341718

Call-by-need evaluation, also known as lazy evaluation, provides two key benefits: compositional programming and infinite data. The standard semantics for laziness is Launchbury’s natural semantics, which uses a heap to memoise the results of delayed... Read More about Call-by-need is clairvoyant call-by-value.

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification (2019)
Journal Article
Wang, Y., Hu, Q., Zhu, P., Li, L., Lu, B., Garibaldi, J. M., & Li, X. (2020). Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Transactions on Fuzzy Systems, 28(7), 1395-1406. https://doi.org/10.1109/tfuzz.2019.2936801

Deep learning models often use a flat softmax layer to classify samples after feature extraction in visual classification tasks. However, it is hard to make a single decision of finding the true label from massive classes. In this scenario, hierarchi... Read More about Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification.

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images (2019)
Journal Article
Mu, C.-H., Li, C.-Z., Liu, Y., Qu, R., & Jiao, L.-C. (2019). Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Applied Soft Computing, 84, Article 105727. https://doi.org/10.1016/j.asoc.2019.105727

Detecting change areas among two or more remote sensing images is a key technique in remote sensing. It usually consists of generating and analyzing a difference image thus to produce a change map. Analyzing the difference image to obtain the change... Read More about Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images.

Design of more electric aircraft dc power distribution architectures considering reliability performance (2019)
Presentation / Conference Contribution
Recalde, A. A., Bozhko, S., Atkin, J., & Hill, C. (2019, August). Design of more electric aircraft dc power distribution architectures considering reliability performance. Presented at AIAA Propulsion and Energy Forum and Exposition, 2019, Indiana, USA

© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. The More Electric Aircraft (MEA) concept has started to define the future of aircraft electrification. The electrical system will certainly play a crucial rol... Read More about Design of more electric aircraft dc power distribution architectures considering reliability performance.

Linear Algebra for Computational Sciences and Engineering (2019)
Book
Neri, F. (2019). Linear Algebra for Computational Sciences and Engineering. Springer. https://doi.org/10.1007/978-3-030-21321-3

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need,... Read More about Linear Algebra for Computational Sciences and Engineering.

ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems (2019)
Journal Article
Pekaslan, D., Wagner, C., & Garibaldi, J. M. (2020). ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems. IEEE Transactions on Fuzzy Systems, 28(10), 2302-2312. https://doi.org/10.1109/tfuzz.2019.2933787

Non-Singleton Fuzzy Logic Systems (NSFLSs) have the potential to capture and handle input noise within the design of input fuzzy sets. In this paper, we propose an online learning method which utilises a sequence of observations to continuously updat... Read More about ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems.

Recent advances in selection hyper-heuristics (2019)
Journal Article
Drake, J. H., Kheiri, A., Özcan, E., & Burke, E. K. (2020). Recent advances in selection hyper-heuristics. European Journal of Operational Research, 285(2), 405-428. https://doi.org/10.1016/j.ejor.2019.07.073

Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for computational search problems. This is in contrast to many approaches, which represent customised methods for a single problem domain or a narrow class o... Read More about Recent advances in selection hyper-heuristics.