Outputs (25)

Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. (2023)
Conference Proceeding
STEWART, C., FUNG, WAI KEUNG, FOUGH, N. and PRABHU, R. 2023. Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198101. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198101

Machine learning proliferates society and has begun changing medicine. This report covers an investigation into how Extremely Random Forests combined with Fast Fourier Transform feature extraction performed on two-dimensional time-series Epileptic Se... Read More about Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data..

Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. (2023)
Thesis
ADEGBOYE, M.A. 2023. Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071535

Pipelines are often subject to leakage due to ageing, corrosion and weld defects. It is difficult to avoid pipeline leakage as the sources of leaks are diverse. Various pipeline leakage detection methods, including fibre optic, pressure point analysi... Read More about Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation..

Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. (2022)
Conference Proceeding
ADEGBOYE, M.A., KARNIK, A., FUNG, W.-K. and PRABHU, R. 2022. Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. In Proceedings of the 9th International conference on soft computing and machine intelligence 2022 (ISCMI 2022), 26-27 November 2022, Toronto, Candada. Piscataway: IEEE [online], pages 129-134. Available from: https://doi.org/10.1109/iscmi56532.2022.10068436

Pipelines are often subject to leakage due to ageing, corrosion, and weld defects, and it is difficult to avoid as the sources of leakages are diverse. Several studies have demonstrated the applicability of the machine learning model for the timely p... Read More about Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation..

A low-complexity wavelet-based visual saliency model to predict fixations. (2020)
Conference Proceeding
NARAYANASWAMY, M., ZHAO, Y., FUNG, W.K. and FOUGH, N. 2020. A low-complexity wavelet-based visual saliency model to predict fixations. In Proceedings of 27th Institute of Electrical and Electronic Engineers (IEEE) International conference on electronics, circuits and systems 2020 (ICECS 2020), 23-25 November 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9294905. Available from: https://doi.org/10.1109/ICECS49266.2020.9294905

A low-complexity wavelet-based visual saliency model to predict the regions of human eye fixations in images using low-level features is proposed. Unlike the existing wavelet-based saliency detection models, the proposed model requires only two chann... Read More about A low-complexity wavelet-based visual saliency model to predict fixations..

A fuzzy cooperative localisation framework for underwater robotic swarms. (2020)
Journal Article
SABRA, A. and FUNG, W.-K. 2020. A fuzzy cooperative localisation framework for underwater robotic swarms. Sensors [online], 20(19), article ID 5496. Available from: https://doi.org/10.3390/s20195496

This article proposes a holistic localisation framework for underwater robotic swarms to dynamically fuse multiple position estimates of an autonomous underwater vehicle while using fuzzy decision support system. A number of underwater localisation m... Read More about A fuzzy cooperative localisation framework for underwater robotic swarms..

State switching in multi-stable systems: control and optimisation. (2020)
Thesis
LIU, B. 2020. State switching in multi-stable systems: control and optimisation. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

This thesis studies state-switching in multistable systems, so that they can switch from inefficient operating states to a more efficient one, in order to achieve performance enhancement in real-life engineering systems. Multistable systems have more... Read More about State switching in multi-stable systems: control and optimisation..

Algorithms and methods for video transcoding. (2019)
Thesis
NAGARAGHATTA, A.S. 2019. Algorithms and methods for video transcoding. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Video transcoding is the process of dynamic video adaptation. Dynamic video adaptation can be defined as the process of converting video from one format to another, changing the bit rate, frame rate or resolution of the encoded video, which is mainly... Read More about Algorithms and methods for video transcoding..

Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications. (2019)
Conference Proceeding
JOHNY, J., OFFICER, S., FUNG, W. K. and PRABHU, R. 2019. Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 3rd Counterterrorism, crime fighting, forensics, and surveillance technologies conference 2019: co-located with the Society of Photo-Optical Instrumentation Engineers (SPIE) Security and defence 2019 conference, 9-12 September 2019, Strasbourg, France. Proceedings of the SPIE, 11166. Bellingham, WA: SPIE [online], article ID 1116608. Available from: https://doi.org/10.1117/12.2535742

Border management and security challenges are increasing considerably in recent years. One of the major concerns is counterfeiting and fraudulent use of identity and other travel documents for crossing border controls. This poses serious threats and... Read More about Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications..

Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications. (2019)
Thesis
JOHNY, J. 2019. Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Oil and gas (O&G) explorations are moving into deeper zones of earth, causing serious safety concerns. Hence, sensing of critical multiple parameters like high pressure, high temperature (HPHT), chemicals, etc., are required at longer distances. Trad... Read More about Investigations towards the development of a novel multimodal fibre optic sensor for oil and gas applications..

Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches. (2019)
Journal Article
ADEGBOYE, M.A., FUNG, W.-K. and KARNIK, A. 2019. Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches. Sensors [online], 19(11), article ID 2548. Available from: https://doi.org/10.3390/s19112548

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles all over the world. The structures of the pipelines are designed to withstand several environmental loading conditions to ensure safe and reliable distribut... Read More about Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches..