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Psychoacoustic modelling of rotor noise (2022)
Journal Article
Torija, A. J., Li, Z., & Chaitanya, P. (2022). Psychoacoustic modelling of rotor noise. ˜The œJournal of the Acoustical Society of America (Online), 151(3), 1804-1815. https://doi.org/10.1121/10.0009801

The aviation sector is rapidly evolving with more electric propulsion systems and a variety of new technologies of vertical take-off and landing manned and unmanned aerial vehicles. Community noise impact is one of the main barriers for the wider ado... Read More about Psychoacoustic modelling of rotor noise.

High pressure photoluminescence of bismuth-doped yttria-alumina-silica glass (2022)
Journal Article
Hughes, M., McMaster, R., Proctor, J., Hewak, D., Suzuki, T., & Oshidi, Y. (2022). High pressure photoluminescence of bismuth-doped yttria-alumina-silica glass. High Pressure Research, https://doi.org/10.1080/08957959.2022.2044031

We report the effects of high pressure, up to 10.45 GPa, on the photoluminescence of Bi-doped yttria-alumina-silica (Bi:YAlSi) glass under 532 nm excitation. We identify three emission bands attributed to Bi3+, Bi+ and the controversial NIR emitting... Read More about High pressure photoluminescence of bismuth-doped yttria-alumina-silica glass.

Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus (2022)
Journal Article
Graetzer, S., Akeroyd, M., Barker, J., Cox, T., Culling, J., Naylor, G., …Muñoz, R. (2022). Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus. Data in Brief, 41, 107951. https://doi.org/10.1016/j.dib.2022.107951

This paper presents the Clarity Speech Corpus, a publicly available, forty speaker British English speech dataset. The corpus was created for the purpose of running listening tests to gauge speech intelligibility and quality in the Clarity Project, w... Read More about Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus.

Experimental study on the interplay between different brine types/concentrations and CO2 injectivity for effective CO2 storage in deep saline aquifers (2022)
Journal Article
Edem, D., Abba, M., Nourian, A., Babaie, M., & Naeem, Z. (in press). Experimental study on the interplay between different brine types/concentrations and CO2 injectivity for effective CO2 storage in deep saline aquifers. Sustainability, 14(2), e986. https://doi.org/10.3390/su14020986

Salt precipitation during CO2 storage in deep saline aquifers can have severe consequences on injectivity during carbon storage. Extensive studies have been carried out on CO2 solubility with individual or mixed salt solutions; however, to the best o... Read More about Experimental study on the interplay between different brine types/concentrations and CO2 injectivity for effective CO2 storage in deep saline aquifers.

The effect of coherent coupling nonlinearity on modulation instability and rogue wave excitation (2022)
Journal Article
and rogue wave excitation. Communications in Nonlinear Science and Numerical Simulation, 106246. https://doi.org/10.1016/j.cnsns.2021.106246

We study modulation instability (MI) in both anomalous and normal dispersion regimes of a coherently coupled system. It is found that there exist three types of MI spectra with distinct characteristics termed baseband, passband, and zero-baseband b... Read More about The effect of coherent coupling nonlinearity on modulation instability and rogue wave excitation.

Particulate number emissions during cold-start with diesel and biofuels : a special focus on particle size distribution (2022)
Journal Article
Zare, A., Bodisco, T., Verma, P., Jafari, M., Babaie, M., Yang, L., …Stevanovic, S. (2022). Particulate number emissions during cold-start with diesel and biofuels : a special focus on particle size distribution. Sustainable Energy Technologies and Assessments, 51, 101953. https://doi.org/10.1016/j.seta.2022.101953

The share of biofuels in the transportation sector is increasing. Previous studies revealed that the use of biofuels decreases the size of particles (which is linked to an increase in particulate toxicity). Current emission regulations do not conside... Read More about Particulate number emissions during cold-start with diesel and biofuels : a special focus on particle size distribution.

Influence of iron filing waste on the performance of warm mix asphalt (2021)
Journal Article
Wang, Y., Latief, R., Al‐Mosawe, H., Mohammad, H., Albayati, A., & Haynes, B. (2021). Influence of iron filing waste on the performance of warm mix asphalt. Sustainability, 13(24), 13828. https://doi.org/10.3390/su132413828

Recently, interest in the use of projectiles in research on recycling waste materials for construction applications has grown. Using recycled materials for the construction of asphalt concrete pavement, in the meantime, has become a topic of research... Read More about Influence of iron filing waste on the performance of warm mix asphalt.

Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks (2021)
Journal Article
Sugar-Gabor, O. (2021). Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks. International Journal of Computer Applications in Technology, 66(1), 36-50. https://doi.org/10.1504/IJCAT.2021.119603

A non-intrusive reduced-order model for nonlinear parametric flow problems is developed. It is based on extracting a reduced-order basis from full-order snapshots via proper orthogonal decomposition and using both deep and shallow neural network a... Read More about Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks.

IoT data quality issues and potential solutions: a literature review (2021)
Journal Article
Mansouri, T., Moghadam, M., Monshizadeh, F., & Zareravasan, A. (2021). IoT data quality issues and potential solutions: a literature review. Computer Journal, https://doi.org/10.1093/comjnl/bxab183

In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gai... Read More about IoT data quality issues and potential solutions: a literature review.

An analytical model for the triaxial compressive stress-strain relationships of Cemented Pasted Backfill (CPB) with different curing time (2021)
Journal Article
Xiu, Z., Wang, S., Ji, Y., Wang, F., Ren, F., & Wang, P. (2021). An analytical model for the triaxial compressive stress-strain relationships of Cemented Pasted Backfill (CPB) with different curing time. Construction and Building Materials, 313, 125554. https://doi.org/10.1016/j.conbuildmat.2021.125554

The strength of Cemented Pasted Backfill (CPB) is gradually enhanced with the increase of curing time. It is of great significance to study the stress-strain behaviors of CPB with different curing time under triaxial loading conditions. The triaxial... Read More about An analytical model for the triaxial compressive stress-strain relationships of Cemented Pasted Backfill (CPB) with different curing time.

An investigation into the volumetric flow rate requirement of hydrogen transportation in existing natural gas pipelines and its safety implications (2021)
Journal Article
Abbas, A., Hossein, H., Burby, M., & Idoko, J. (2021). An investigation into the volumetric flow rate requirement of hydrogen transportation in existing natural gas pipelines and its safety implications. Gases, 1(4), 156-179. https://doi.org/10.3390/gases1040013

As an alternative to the construction of new infrastructure, repurposing existing natural gas pipelines for hydrogen transportation has been identified as a low-cost strategy for substituting natural gas with hydrogen in the wake of the energy transi... Read More about An investigation into the volumetric flow rate requirement of hydrogen transportation in existing natural gas pipelines and its safety implications.

Towards securing machine learning models against membership inference attacks (2021)
Journal Article
Ben Hamida, S., Mrabet, H., Belguith, S., Alhomoud, A., & Jemai, A. (2022). Towards securing machine learning models against membership inference attacks. Computers, Materials & Continua, 70(3), 4897-4919. https://doi.org/10.32604/cmc.2022.019709

From fraud detection to speech recognition, including price prediction, Machine Learning (ML) applications are manifold and can significantly improve different areas. Nevertheless, machine learning models are vulnerable and are exposed to differen... Read More about Towards securing machine learning models against membership inference attacks.

Size effects in unreinforced and lightly reinforced concrete beams failing in flexure (2021)
Journal Article
Augusthus Nelson, L., Lees, J., & Weekes, L. (2022). Size effects in unreinforced and lightly reinforced concrete beams failing in flexure. Engineering Fracture Mechanics, 259, 107987. https://doi.org/10.1016/j.engfracmech.2021.107987

Fracture-based models commonly use a characteristic length as the basis for determining size effects in concrete beams. The characteristic length is related to the concrete fracture process zone and defined in terms of the concrete fracture propert... Read More about Size effects in unreinforced and lightly reinforced concrete beams failing in flexure.

A new deep wavefront based model for text localization in 3D video (2021)
Journal Article
Nandanwar, L., Shivakumara, P., Ramachandra, R., Lu, T., Pal, U., Antonacopoulos, A., & Lu, Y. (2021). A new deep wavefront based model for text localization in 3D video. IEEE Transactions on Circuits and Systems for Video Technology, 32(6), 3375-3389. https://doi.org/10.1109/TCSVT.2021.3110990

With the evolution of electronic devices, such as 3D cameras, addressing the challenges of text localization in 3D video (e.g., for indexing) is increasingly drawing the attention of the multimedia and video processing community. Existing methods foc... Read More about A new deep wavefront based model for text localization in 3D video.

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing (2021)
Journal Article
Graetzer, S., Barker, J., Cox, T., Akeroyd, M., Culling, J., Naylor, G., …Viveros Munoz, R. (2021). Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing. https://doi.org/10.21437/Interspeech.2021-1574

In recent years, rapid advances in speech technology have been made possible by machine learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity project, the machine learning approach is applied to the problem of hearing aid... Read More about Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing.

Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant (2021)
Presentation / Conference
Darvan, A., Kebriaee, A., Nouri-Borujerdi, A., & Nourian, A. (2021, August). Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant. Presented at ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems, Edinburgh, UK

The utilization of liquid and solid fuels for propulsion and combustion processes with Newtonian characteristics are widely known. However, recent studies are considering the application of shear-thinning non-Newtonian fuels as alternative simulant s... Read More about Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant.

Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions (2021)
Presentation / Conference
Johnson, A., Nasr, G., Nourian, A., & Abba, M. (2021, August). Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions. Presented at ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems, Edinburgh, UK

For past decades, various industries, such as oil and gas, have come to realisation that using water-based spraying systems, with fine very fine droplets should be the preferred option in mitigating and suppressing the thermal explosions. Previous st... Read More about Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions.

Effects of pressure decay on Non-Methane Volatile Organic Compounds (NMVOC) species distribution in domestic aerosol sprays with LPG propellants (2021)
Presentation / Conference
Abba, M., Naeem, Z., Nourian, A., & Nasr, G. (2021, August). Effects of pressure decay on Non-Methane Volatile Organic Compounds (NMVOC) species distribution in domestic aerosol sprays with LPG propellants. Presented at ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems, Edinburgh, UK

Conventional aerosols sprays contain different Volatile Organic Compounds (VOC). These organic compounds have different properties and can have detrimental impact on air quality. This study investigated the spray performance and variation of the type... Read More about Effects of pressure decay on Non-Methane Volatile Organic Compounds (NMVOC) species distribution in domestic aerosol sprays with LPG propellants.