A service-oriented approach for sensing in the Internet of Things : intelligent transportation systems and privacy use cases (2020)
Journal Article
Hammoudeh, M., Epiphaniou, G., Belguith, S., Unal, D., Adebisi, B., Baker, T., …Watters, P. (2021). A service-oriented approach for sensing in the Internet of Things : intelligent transportation systems and privacy use cases. IEEE Sensors Journal, 21(14), 15753-15761. https://doi.org/10.1109/JSEN.2020.2981558

This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT platforms and support service-or... Read More about A service-oriented approach for sensing in the Internet of Things : intelligent transportation systems and privacy use cases.

“Hello Computer, how am I feeling?”, case studies of neural technology to measure emotions (2020)
Book Chapter
Daly, I., & Williams, D. (2020). “Hello Computer, how am I feeling?”, case studies of neural technology to measure emotions. In C. Nam (Ed.), Neuroergonomics (193-219). Springer. https://doi.org/10.1007/978-3-030-34784-0_11

Emotion is a core part of the human experience. Many artistic and creative applications attempt to produce particular emotional experiences, for example, films, games, music, dance, and other visual arts. However, while emotional states are ubiquitou... Read More about “Hello Computer, how am I feeling?”, case studies of neural technology to measure emotions.

On the Nth roots of -1 and complex basin boundaries : fractals from Newton-Raphson (2020)
Journal Article
Christian, J., & Middleton-Spencer, H. (2020). On the Nth roots of -1 and complex basin boundaries : fractals from Newton-Raphson. College Mathematics Journal, 51(2), 95-114. https://doi.org/10.1080/07468342.2020.1703452

We consider a systematic generalization of the well-known cube roots of -1 problem to include the Nth roots. The associated fractal basin boundaries are computed, and we also explore how sensitive this class of systems is to fluctuations at its input... Read More about On the Nth roots of -1 and complex basin boundaries : fractals from Newton-Raphson.

Flexible character accuracy measure for reading-order-independent evaluation (2020)
Journal Article
Clausner, C., Pletschacher, S., & Antonacopoulos, A. (2020). Flexible character accuracy measure for reading-order-independent evaluation. Pattern Recognition Letters, 131, 390-397. https://doi.org/10.1016/j.patrec.2020.02.003

The extraction of textual information from scanned document pages is a fundamental stage in any digitisation effort and directly determines the success of the overall document analysis and understanding application scenarios. To evaluate and improve... Read More about Flexible character accuracy measure for reading-order-independent evaluation.

Flame assisted chemical vapour deposition of NiO hole transport layers for planar perovskite cells (2020)
Journal Article
Yates, H., Hodgkinson, J., Meroni, S., Richards, D., & Watson, T. (2020). Flame assisted chemical vapour deposition of NiO hole transport layers for planar perovskite cells. Surface and Coatings Technology, 385, 125423. https://doi.org/10.1016/j.surfcoat.2020.125423

Thin films of polycrystalline NiO were deposited by Flame Assisted Chemical Vapour Deposition, which is an ideal process for in-line, atmospheric pressure deposition of wide area coatings. This, along with the ability to use aqueous salts rather than... Read More about Flame assisted chemical vapour deposition of NiO hole transport layers for planar perovskite cells.

Perspective distortion modeling for image measurements (2020)
Journal Article
Bousaid, A., Theodoridis, T., Nefti-Meziani, S., & Davis, S. (2020). Perspective distortion modeling for image measurements. IEEE Access, 8, 15322-15331. https://doi.org/10.1109/ACCESS.2020.2966716

A perspective distortion modelling for monocular view that is based on the fundamentals of perspective projection is presented in this work. Perspective projection is considered to be the most ideal and realistic model among others, which depicts ima... Read More about Perspective distortion modeling for image measurements.

Numerical investigation into the stability of earth dam slopes considering the effects of cavities (2020)
Journal Article
Al-ateya, H., & Ahangar Asr, A. (2020). Numerical investigation into the stability of earth dam slopes considering the effects of cavities. Engineering Computations, 37(4), 1397-1421. https://doi.org/10.1108/EC-03-2019-0101

This research is an attempt to estimate the influence of the presence of cavities on the stability of slopes in earth dams under rapid drawdown conditions. The aim of the investigation is to study the influence of different factors, such as the dia... Read More about Numerical investigation into the stability of earth dam slopes considering the effects of cavities.

Fast speech intelligibility estimation using a neural network trained via distillation (2020)
Presentation / Conference
Cox, T., Bailey, W., & Tang, Y. (2020, January). Fast speech intelligibility estimation using a neural network trained via distillation. Poster presented at 12th Speech in Noise Workshop, Toulouse, France

Objective measures of speech intelligibility have many uses, including the evaluation of degradation during transmission and the development of processing algorithms. One intrusive approach is to use a method based on the audibility of speech glimpse... Read More about Fast speech intelligibility estimation using a neural network trained via distillation.

Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech (2019)
Journal Article
Torcoli, M., Freke-Morin, A., Paulus, J., Simon, C., & Shirley, B. (2019). Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech. Journal of the Audio Engineering Society, 67(12), 1003-1011. https://doi.org/10.17743/jaes.2019.0052

In audio production, background ducking facilitates speech intelligibility while allowing the background to fulfill its purpose, e.g., to create ambience, set the mood, or convey semantic cues. Technical details for recommended ducking practices are... Read More about Preferred levels for background ducking to produce esthetically pleasing audio for TV with clear speech.

Nonlinear dynamics of coupled transverse-rotational waves in granular chains (2019)
Journal Article
Zhang, Q., Umnova, O., & Venegas, R. (2019). Nonlinear dynamics of coupled transverse-rotational waves in granular chains. Physical Review E, 100(6), 062206. https://doi.org/10.1103/PhysRevE.100.062206

The nonlinear dynamics of coupled waves in one-dimensional granular chains with and without a substrate is theoretically studied accounting for quadratic nonlinearity. The multiple time scale method is used to derive the nonlinear dispersion relati... Read More about Nonlinear dynamics of coupled transverse-rotational waves in granular chains.

EBNO : evolution of cost-sensitive Bayesian networks (2019)
Journal Article
Nashnush, E., & Vadera, S. (2020). EBNO : evolution of cost-sensitive Bayesian networks. Expert Systems, 37(3), e12495. https://doi.org/10.1111/exsy.12495

The last decade has seen an increase in the attention paid to the development of cost sensitive learning algorithms that aim to minimize misclassification costs while still maintaining accuracy. Most of this attention has been on cost sensitive dec... Read More about EBNO : evolution of cost-sensitive Bayesian networks.

Optically modulated magnetic resonance of erbium implanted silicon (2019)
Journal Article
Hughes, M., Li, H., Theodoropoulou, N., & Carey, J. (2019). Optically modulated magnetic resonance of erbium implanted silicon. Scientific reports, 9(1), 19031. https://doi.org/10.1038/s41598-019-55246-z

Er implanted Si is an important candidate for quantum and photonic applications, but the Er centres involved are poorly understood, which has hindered development of these applications. Here we present the first measurement of the crystal field split... Read More about Optically modulated magnetic resonance of erbium implanted silicon.

A covariance based framework for the propagation of correlated uncertainty in frequency based dynamic sub-structuring (2019)
Journal Article
Meggitt, J., & Moorhouse, A. (2020). A covariance based framework for the propagation of correlated uncertainty in frequency based dynamic sub-structuring. Mechanical Systems and Signal Processing, 136, 106505. https://doi.org/10.1016/j.ymssp.2019.106505

Dynamic sub-structuring (DS) is the procedure by which the passive properties (i.e. frequency response functions) of an assembled structure are predicted from those of its constituent sub-structures. In this paper we are concerned with the propagat... Read More about A covariance based framework for the propagation of correlated uncertainty in frequency based dynamic sub-structuring.

Autistic listening (2019)
Presentation / Conference
Davies, W. (2019, November). Autistic listening. Presented at Aural Diversity, Leicester, UK

Autism is a lifelong neurodevelopmental condition diagnosed by differences in social interaction and communication. Most autistic people also experience atypical sensory processing (e.g., a heightened sensitivity to sound or texture). Nearly all auti... Read More about Autistic listening.

Ultrashort nonautonomous similariton solutions and the cascade tunneling of interacting similaritons (2019)
Journal Article
Yang, R., Gao, J., Jia, H., Tian, J., & Christian, J. (2020). Ultrashort nonautonomous similariton solutions and the cascade tunneling of interacting similaritons. Optics Communications, 459, 125025. https://doi.org/10.1016/j.optcom.2019.125025

Similarity transformation and Hirota bilinearization are deployed to derive exact bright and dark ultrashort one- and two-similariton solutions of a nonautonomous cubic-quintic nonlinear Schrödinger equation. Such wave packets may emerge when group... Read More about Ultrashort nonautonomous similariton solutions and the cascade tunneling of interacting similaritons.

A cloud-hosted MapReduce architecture for syntactic parsing (2019)
Conference Proceeding
Woldemariam, Y., Pletschacher, S., Clausner, C., & Bass, J. (2019). A cloud-hosted MapReduce architecture for syntactic parsing. In Kallithea, Greece. https://doi.org/10.1109/SEAA.2019.00024

Syntactic parsing is a time-consuming task innatural language processing particularlywherea largenumber of text files are beingprocessed. Parsingalgorithms are conventionally designed to operate on a single machine in a sequenti... Read More about A cloud-hosted MapReduce architecture for syntactic parsing.

Spotify tailoring for B2B product development (2019)
Conference Proceeding
Salameh, A., & Bass, J. (2019). Spotify tailoring for B2B product development. . https://doi.org/10.1109/SEAA.2019.00018

Agile software development has become increasinglycommon in the context of large-scale organisations. Typically,software organisations tailor agile methods to fit their needsand ultimately maximise success. The size of the orga... Read More about Spotify tailoring for B2B product development.

Predicting road traffic accident severity using decision trees and time-series calendar heatmaps (2019)
Presentation / Conference
Silva, H., & Saraee, M. (2019, November). Predicting road traffic accident severity using decision trees and time-series calendar heatmaps. Presented at The 6th IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), Penang, Malaysia

The European Commission estimates that around 135,000 people are seriously injured on Europe's roads each year. The road traffic injuries are a significant but neglected global general public health problem, needing rigorous attempts for effectiv... Read More about Predicting road traffic accident severity using decision trees and time-series calendar heatmaps.

Predictive modelling in mental health : a data science approach (2019)
Presentation / Conference
Saraee, M., Silva, H., & Saraee, M. (2019, November). Predictive modelling in mental health : a data science approach. Presented at 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE CSUDET), Penang, Malaysia

In national and local level, understanding of factors associated with public health issues like mental health is paramount important. This framework evaluation aims to use the decision Tree technique to improve the degree of understanding of the ment... Read More about Predictive modelling in mental health : a data science approach.

Plantar fascia ultrasound images characterization and classification using support vector machine (2019)
Presentation / Conference
Boussouar, A., Meziane, F., & Walton, L. (2019, October). Plantar fascia ultrasound images characterization and classification using support vector machine. Presented at The 5th International Conference on Advanced Intelligent Systems and Applications, Cairo, Egypt

The examination of plantar fascia (PF) ultrasound (US) images is subjective and based on the visual perceptions and manual biometric measurements carried out by medical experts. US images feature extraction, characterization and classification have b... Read More about Plantar fascia ultrasound images characterization and classification using support vector machine.