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.

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.

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.

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.

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.

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.

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.

Flame assisted chemical vapour deposition NiO hole transport layers for mesoporous carbon perovskite cells (2019)
Journal Article
Yates, H., Meroni, M., Raptis, D., Hodgkinson, J., & Watson, T. (2019). Flame assisted chemical vapour deposition NiO hole transport layers for mesoporous carbon perovskite cells. Journal of Materials Chemistry C, 7(42), 13235-13242. https://doi.org/10.1039/C9TC03922H

Flame Assisted Chemical Vapour Deposition was utilised to directly deposit polycrystalline mesoporous NiO to enhance charge transport within carbon perovskite solar cells (C-PSC). This versatile technique is highly suited... Read More about Flame assisted chemical vapour deposition NiO hole transport layers for mesoporous carbon perovskite cells.

Transition from gas-like to liquid-like behavior in supercritical N2 (2019)
Journal Article
Proctor, J., Pruteanu, C., Morrison, I., Crowe, I., & Loveday, J. (2019). Transition from gas-like to liquid-like behavior in supercritical N2. Journal of Physical Chemistry Letters, 10(21), 6584-6589. https://doi.org/10.1021/acs.jpclett.9b02358

We have studied in detail the transition from gas-like to rigid liquidlike behavior in supercritical N2 at 300 K (2.4 TC). Our study combines neutron diffraction and Raman spectroscopy with ab initio molecular dynamics simulations. We observe a narr... Read More about Transition from gas-like to liquid-like behavior in supercritical N2.

Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography (2019)
Journal Article
Peng, J., Jiang, Y., Tang, S., & Meziane, F. (2021). Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography. IEEE Transactions on Dependable and Secure Computing, 18(4), 1962-1973. https://doi.org/10.1109/TDSC.2019.2946138

Voice over IP (VoIP) is finding its way into several applications, but its security concerns still remain. This paper
shows how a new self-adaptive steganographic method can ensure the security of covert VoIP communications over the
Internet. In th... Read More about Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography.

Modeling the behavior of radially pinned brick triplets (2019)
Presentation / Conference
Haynes, J., Naggasa, A., Augusthus-Nelson, L., El-basir, F., & Alsaleh, A. (2019, October). Modeling the behavior of radially pinned brick triplets. Presented at 9th International Conference on Arch Bridges, Porto, Portugal

The continued use of many UK highway and railway masonry arch bridges is dependent upon maintaining robustness as the materials deteriorate over time. A common failure in multi-ring brickwork arches subject to fatigue, is ring separation.
This pape... Read More about Modeling the behavior of radially pinned brick triplets.

Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments (2019)
Thesis
Bailey, J. Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments. (Thesis). University of Salford

Literature in the study of human response to immersive virtual reality systems often deals with the phenomenon of presence. It can be shown that audio and imagery with spatial information can interact to affect presence in users of immersive virtual... Read More about Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments.

A methodology for ontology reuse : the case of the abdominal ultrasound ontology (2019)
Journal Article
Zulkarnain, N., & Meziane, F. (2019). A methodology for ontology reuse : the case of the abdominal ultrasound ontology. International Journal of Intelligent Information Technologies, 15(4), 1-21. https://doi.org/10.4018/IJIIT.2019100101

There are abundance of existing biomedical ontologies such as the National Cancer Institute
Thesaurus (NCIT), the Foundational Model of Anatomy (FMA) and the Systematized
Nomenclature of Medicine-Clinical Terms (SNOMED CT). Implementing these ontol... Read More about A methodology for ontology reuse : the case of the abdominal ultrasound ontology.

Melting curve and phase diagram of vanadium under high-pressure and high-temperature conditions (2019)
Journal Article
Errandonea, D., Macleod, S., Burakovsky, L., Santamaria-Perez, D., Proctor, J., Cynn, H., & Mezouar, M. (2019). Melting curve and phase diagram of vanadium under high-pressure and high-temperature conditions. Physical Review B, 100(9), https://doi.org/10.1103/PhysRevB.100.094111

We report a combined experimental and theoretical study of the melting curve
and the structural behavior of vanadium under extreme pressure and temperature. We
performed powder x-ray diffraction experiments up to 120 GPa and 4000 K, determining
th... Read More about Melting curve and phase diagram of vanadium under high-pressure and high-temperature conditions.

Pruning neural networks using multi-armed bandits (2019)
Journal Article
Ameen, S., & Vadera, S. (2020). Pruning neural networks using multi-armed bandits. Computer Journal, 63(7), 1099-1108. https://doi.org/10.1093/comjnl/bxz078

The successful application of deep learning has led to increasing expectations
of their use in embedded systems. This in turn, has created the need to find
ways of reducing the size of neural networks. Decreasing the size of a neural
network requi... Read More about Pruning neural networks using multi-armed bandits.