Outputs (2058)

Problem classification for tailored help desk auto replies (2022)
Conference Proceeding
Nicholls, R., Fellows, R., Battle, S., & Ihshaish, H. (2022). Problem classification for tailored help desk auto replies. In E. Pimenidis, P. Angelov, C. Jayne, A. Papaleonidas, & M. Aydin (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2022 (445-454). https://doi.org/10.1007/978-3-031-15937-4_37

IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re... Read More about Problem classification for tailored help desk auto replies.

Analysing the predictivity of features to characterise the search space (2022)
Conference Proceeding
Durgut, R., Aydin, M. E., Ihshaish, H., & Rakib, A. (2022). Analysing the predictivity of features to characterise the search space. In E. Pimenidis, P. Angelov, C. Jayne, A. Papaleonidas, & M. Aydin (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV (1-13). https://doi.org/10.1007/978-3-031-15937-4_1

Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised... Read More about Analysing the predictivity of features to characterise the search space.

Rethinking living matter: Animate behaviours of fungal composites (2022)
Presentation / Conference
Nikolaidou, A., & Adamatzky, A. (2022, September). Rethinking living matter: Animate behaviours of fungal composites. Paper presented at SEEDS International Conference 2022, University of West of England, Bristol

Smart materials integrating conventional soft electronics e.g. sensors and actuators, are widely used in the building and wearable industries, contributing to the depletion of natural resources and having a vast environmental impact. In this paper, a... Read More about Rethinking living matter: Animate behaviours of fungal composites.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022, September). Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions. Presented at Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research conference (CETL-MSOR-2022), Abertay University, Dundee , Scotland

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs). Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models (2022)
Presentation / Conference
Sharp, R., Ihshaish, H., & Deza, J. I. (2022, August). Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models. Paper presented at International Conference for Sustainable Ecological Engineering Design for Society, SEEDS 22, UWE Bristol and online

The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids. Large variations in wind power supply must be compensated by ancillary energy s... Read More about Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models.

Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification (2022)
Journal Article
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022). Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification. MSOR Connections, 20(3), 55-71. https://doi.org/10.21100/msor.v20i3.1345

This article gives an overview of the interactive book called ‘Collection of Taxonomically Classified Mathematical Common Student Errors in e-Assessments (CSE Book)’ which has been produced as a result of the Common Student Errors Project (CSE Projec... Read More about Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification.

Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic (2022)
Presentation / Conference
West, H., Hill, J., Abzhaparova, A., Cox, W., & Alexander, A. (2022, August). Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic. Presented at Royal Geographical Society Annual International Conference, Newcastle

The COVID-19 pandemic resulted in profound disruption to geography higher education. A pivot to online teaching required staff to rapidly adapt their practices to novel learning environments and digital spaces. Whilst many studies have reported the d... Read More about Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic.

Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling (2022)
Journal Article
Chiolerio, A., Dehshibi, M. M., Vitiello, G., & Adamatzky, A. (2022). Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling. Symmetry, 14(9), e1792. https://doi.org/10.3390/sym14091792

Trees employ impulses of electrical activity to coordinate actions of their bodies and long-distance communication. There are indications that the vascular system might act as a network of pathways for traveling electrical impulses. A question arises... Read More about Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling.

Neuromorphic liquids, colloids and gels: A review (2022)
Journal Article
Raeisi Kheirabadi, N. R., Chiolerio, A., Szacilowski, K., & Adamatzky, A. (in press). Neuromorphic liquids, colloids and gels: A review. ChemPhysChem, https://doi.org/10.1002/cphc.202200390

Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch-resistant. Liquid electronic devices that mimic biological synapses... Read More about Neuromorphic liquids, colloids and gels: A review.

The impact of data sonification in virtual reality robot teleoperation (2022)
Journal Article
Bremner, P., Mitchell, T. J., & McIntosh, V. (2022). The impact of data sonification in virtual reality robot teleoperation. Frontiers in Virtual Reality, 3, 904720. https://doi.org/10.3389/frvir.2022.904720

Virtual Reality (VR) is being increasingly used to provide a more intuitive and embodied approach to robotic teleoperation, giving operators a sense of presence in the remote environment. Prior research has shown that presence can be enhanced when ad... Read More about The impact of data sonification in virtual reality robot teleoperation.