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On Effects of Perforated Domains on Parameter-Dependent Free Vibration (2021)
Journal Article
Giani, S., & Hakula, H. (2021). On Effects of Perforated Domains on Parameter-Dependent Free Vibration. Journal of Computational and Applied Mathematics, 394, Article 113526. https://doi.org/10.1016/j.cam.2021.113526

Free vibration characteristics of thin perforated shells of revolution vary depending not only on the dimensionless thickness of the shell but also on the perforation structure. All holes are assumed to be free, that is, without any kinematical const... Read More about On Effects of Perforated Domains on Parameter-Dependent Free Vibration.

Dynamics of the Jet Flow Issued from a Lobed Nozzle: Tomographic Particle Image Velocimetry Measurements (2021)
Journal Article
He, C., Liu, Y., & Gan, L. (2021). Dynamics of the Jet Flow Issued from a Lobed Nozzle: Tomographic Particle Image Velocimetry Measurements. International Journal of Heat and Fluid Flow, 89, Article 108795. https://doi.org/10.1016/j.ijheatfluidflow.2021.108795

This study focuses on the dynamics of the three-dimensional jet flow issued from a lobed nozzle. Flow field measurements were performed using a split-screen dual-camera tomographic particle image velocimetry (tomo-PIV) system. The lobed nozzle was co... Read More about Dynamics of the Jet Flow Issued from a Lobed Nozzle: Tomographic Particle Image Velocimetry Measurements.

A 4D-flow cardiovascular magnetic resonance study of flow asymmetry and haemodynamic quantity correlations in the pulmonary artery (2021)
Journal Article
Gbinigie, H., Coats, L., Parikh, J., Hollingsworth, K., & Gan, L. (2021). A 4D-flow cardiovascular magnetic resonance study of flow asymmetry and haemodynamic quantity correlations in the pulmonary artery. Physiological Measurement, 42(2), Article 025005. https://doi.org/10.1088/1361-6579/abdf3b

Objective: In this paper we elucidate the asymmetric flow pattern and the haemodynamic quantity distributions and correlations in the pulmonary artery (PA) vasculature in healthy adults having structurally normal hearts, to provide reference on the f... Read More about A 4D-flow cardiovascular magnetic resonance study of flow asymmetry and haemodynamic quantity correlations in the pulmonary artery.

Defect detection and identification of point-focusing shear-horizontal EMAT for plate inspection (2021)
Journal Article
Huang, S., Sun, H., Peng, L., Wang, S., Wang, Q., & Zhao, W. (2021). Defect detection and identification of point-focusing shear-horizontal EMAT for plate inspection. IEEE Transactions on Instrumentation and Measurement, 70, Article 9506409. https://doi.org/10.1109/tim.2021.3062421

As a kind of nondestructive testing (NDT) method, shear-horizontal (SH)-guided wave detection technology is widely used on an electromagnetic acoustic transducer (EMAT). Although ultrasonic-guided waves perform well in defect location, it is difficul... Read More about Defect detection and identification of point-focusing shear-horizontal EMAT for plate inspection.

Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection (2021)
Presentation / Conference Contribution
Thomson, W., Bhowmik, N., & Breckon, T. (2020, December). Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. Presented at 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), Miami, FL

Automatic visual fire detection is used to complement traditional fire detection sensor systems (smoke/heat). In this work, we investigate different Convolutional Neural Network (CNN) architectures and their variants for the non-temporal real-time bo... Read More about Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection.

Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery (2021)
Presentation / Conference Contribution
Wang, Q., Bhowmik, N., & Breckon, T. (2020, December). Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. Presented at 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), Miami, Florida

Automatic detection of prohibited objects within passenger baggage is important for aviation security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for aviation security screening whilst prior work on automatic prohibite... Read More about Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.