Outputs (130)

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.

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.

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".

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.

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.

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 AM'19: Audio Mostly, Nottingham United Kingdom

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.

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.