A novel spectral-spatial singular spectrum analysis technique for near real-time in-situ feature extraction in hyperspectral imaging.

Fu, Hang; Sun, Genyun; Zabalza, Jaime; Zhang, Aizhu; Ren, Jinchang; Jia, Xiuping

doi:10.1109/JSTARS.2020.2992230

Towards a reliable face recognition system. (2020)
Presentation / Conference Contribution
ALI-GOMBE, A., ELYAN, E. and ZWIEGELAAR, J. 2020. Towards a reliable face recognition system. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, 2. Cham: Springer [online], pages 304-316. Available from: https://doi.org/10.1007/978-3-030-48791-1_23

Face Recognition (FR) is an important area in computer vision with many applications such as security and automated border controls. The recent advancements in this domain have pushed the performance of models to human-level accuracy. However, the va... Read More about Towards a reliable face recognition system..

Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks. (2020)
Presentation / Conference Contribution
ELYAN, E., MORENO-GARCÍA, C.F. and JOHNSTON, P. 2020. Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, 2. Cham: Springer [online], pages 215-224. Available from: https://doi.org/10.1007/978-3-030-48791-1_16

Engineering drawings are common across different domains such as Oil & Gas, construction, mechanical and other domains. Automatic processing and analysis of these drawings is a challenging task. This is partly due to the complexity of these documents... Read More about Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks..

Metataxonomic and histopathological study of rabbit epizootic enteropathy in Mexico. (2020)
Journal Article
PUÓN-PELÁEZ, X.-H.D., MCEWAN, N.R., GÓMEZ-SOTO, J.G., ÁLVAREZ-MARTÍNEZ, R.C., and OLVERA-RAMÍREZ, A.M. 2020. Metataxonomic and histopathological study of rabbit epizootic enteropathy in Mexico. Animals [online], 10(6), article ID 936. Available from: https://doi.org/10.3390/ani10060936

Epizootic rabbit enteropathy (ERE) affects young rabbits and represents 32% of the enteropathies in rabbit production farms in Mexico. The etiology of this syndrome has not been clarified yet. A metataxonomic and histopathology study of ERE was carri... Read More about Metataxonomic and histopathological study of rabbit epizootic enteropathy in Mexico..

Predicting permeability based on core analysis. (2020)
Presentation / Conference Contribution
KONTOPOULOS, H., AHRIZ, H., ELYAN, E. and ARNOLD, R. 2020. Predicting permeability based on core analysis. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020); proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, vol 2. Cham: Springer [online], pages 143-154. Available from: https://doi.org/10.1007/978-3-030-48791-1_10

Knowledge of permeability, a measure of the ability of rocks to allow fluids to flow through them, is essential for building accurate models of oil and gas reservoirs. Permeability is best measured in the laboratory using special core analysis (SCAL)... Read More about Predicting permeability based on core analysis..

Evaluating the transferability of personalised exercise recognition models. (2020)
Presentation / Conference Contribution
WIJEKOON, A. and WIRATUNGA, N. 2020. Evaluating the transferability of personalised exercise recognition models. In Iliadis, L., Angelov, P.P., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 21st Engineering applications of neural networks conference 2020 (EANN 2020): proceedings of the EANN 2020, 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society, 2. Cham: Springer [online], pages 32-44. Available from: https://doi.org/10.1007/978-3-030-48791-1_3

Exercise Recognition (ExR) is relevant in many high impact domains, from health care to recreational activities to sports sciences. Like Human Activity Recognition (HAR), ExR faces many challenges when deployed in the real-world. For instance, typica... Read More about Evaluating the transferability of personalised exercise recognition models..

Dietetic students’ attitudes to and knowledge of working with older people. (2020)
Journal Article
MACKENZIE, M. and MCAULAY, C. 2020. Dietetic students' attitudes to and knowledge of working with older people. International journal of practice-based learning in health and social care [online], 8(1), pages 86-98. Available from: https://doi.org/10.18552/ijpblhsc.v8i1.559

Across the world, people are living longer but not necessarily healthier lives. Healthcare professionals will need to be prepared to work with older people, recognising that, at all stages of the lifespan, attention to nutrition and other health beha... Read More about Dietetic students’ attitudes to and knowledge of working with older people..

Access to learning opportunities for residents in care homes: reviewing the challenges and possibilities. (2020)
Journal Article
KYDD, A. and FULFORD, H. 2020. Access to learning opportunities for residents in care homes: reviewing the challenges and possibilities. Maturitas [online], 140, pages 14-23. Available from: https://doi.org/10.1016/j.maturitas.2020.05.019

International, national and regional policy documents and key reports espouse the benefits of lifelong learning and people's rights to it, yet little attention has been given to the learning needs of frail older people in nursing (care) homes. People... Read More about Access to learning opportunities for residents in care homes: reviewing the challenges and possibilities..

Pax9 and Gbx2 interact in the pharyngeal endoderm to control cardiovascular development. (2020)
Journal Article
STOTHARD, C.A., MAZZOTTA, S., VYAS, A., SCHNEIDER, J.E., MOHUN, T.J., HENDERSON, D.J., PHILLIPS, H.M. and BAMFORTH, S.D. 2020. Pax9 and Gbx2 interact in the pharyngeal endoderm to control cardiovascular development. Journal of cardiovascular development and disease [online], 7(2), article number 20. Available from: https://doi.org/10.3390/jcdd7020020

The correct formation of the aortic arch arteries depends on a coordinated and regulated gene expression profile within the tissues of the pharyngeal arches. Perturbation of the gene regulatory networks in these tissues results in congenital heart de... Read More about Pax9 and Gbx2 interact in the pharyngeal endoderm to control cardiovascular development..

DPIA in context: applying DPIA to assess privacy risks of cyber physical systems. (2020)
Journal Article
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2020. DPIA in context: applying DPIA to assess privacy risks of cyber physical systems. Future internet [online], 12(5), article 93. Available from: https://doi.org/10.3390/fi12050093

Cyber Physical Systems (CPS) seamlessly integrate physical objects with technology, thereby blurring the boundaries between the physical and virtual environments. While this brings many opportunities for progress, it also adds a new layer of complexi... Read More about DPIA in context: applying DPIA to assess privacy risks of cyber physical systems..

Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset] (2020)
Data
ISLAM, S., HOSSAIN, M. and SURI, Y. 2020. Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset]. Hosted on Mendeley Data [online]. Available from: https://doi.org/10.17632/sdzxzd9krm.1

The aim of this research was to find a dynamic and integrated numerical model that uses computational fluid dynamics (CFD) technique to model the fluid flow with proppant transport and Extended finite element method (XFEM) to model the fracture propa... Read More about Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. [Dataset].

Renewable energy performance of the green buildings: key-enabler on useful consumption yield. (2020)
Journal Article
AMRAN, M.E., MUHTAZARUDDIN, M.N., KAMARUDDIN, S.A., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H., AYUB, A.S., BANI, N.A., SAUDI, A.S.M. and ARDILA-REY, J.A. 2020. Renewable energy performance of the green buildings: key-enabler on useful consumption yield. IEEE access [online], 8, pages 95747- 95767. Available from: https://doi.org/10.1109/ACCESS.2020.2996573

Malaysia’s Eleventh Plan started to encourage green building developments and green industries to stimulate green growth. Eventually, the Malaysian government had launched a new commitment to accelerate the green and efficient energy sector and revis... Read More about Renewable energy performance of the green buildings: key-enabler on useful consumption yield..

Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. (2020)
Journal Article
SURI, Y., ISLAM, S.Z. and HOSSAIN, M. 2020. Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach. International journal of rock mechanics and mining sciences [online], 131, article ID 104356. Available from: https://doi.org/10.1016/j.ijrmms.2020.104356

Numerically modelling the fluid flow with proppant transport and fracture propagation together are one of the significant technical challenges in hydraulic fracturing of unconventional hydrocarbon reservoirs. The existing models either model the prop... Read More about Proppant transport in dynamically propagating hydraulic fractures using CFD-XFEM approach..

Journalism's ontology of oscillation: a metamodern perspective. (2020)
Presentation / Conference Contribution
ANDERSON, B. 2020. Journalism's ontology of oscillation: a metamodern perspective. Presented at the 70th ICA (International Communication Association) annual conference (ICA 2020): open communication, 21-25 May 2020, [virtual event].

This conceptual paper makes the case for a metamodern perspective in the study of digital journalism. Identifying oscillation, the movement in-between opposing poles, as the overarching defining principle of digital journalism’s ontology, the paper... Read More about Journalism's ontology of oscillation: a metamodern perspective..

Pharmacological interventions for treating chronic prostatitis/chronic pelvic pain syndrome. (2020)
Journal Article
PATERSON, C. and KENNEDY, C. 2020. Pharmacological interventions for treating chronic prostatitis/chronic pelvic pain syndrome. Research in nursing and health [online], 43(5), pages 548-549. Available from: https://doi.org/10.1002/nur.22027

Prostatitis is a common condition which can affect men of all ages; however, it is more frequently experienced in younger men with an initial onset around 40 years of age. The two main presenting clinical features of prostatitis are lower urinary tra... Read More about Pharmacological interventions for treating chronic prostatitis/chronic pelvic pain syndrome..

North-east COVID-19 observatory: issue 1. (2020)
Other
KYDD, A., TEODOROWSKI, P., PAPADATOU, Z., VELO HIGUERAS, M., MACLEAN, C. and OZA, R. (eds.) 2020. North-east COVID-19 observatory: issue 1. Aberdeen: Robert Gordon University.

Welcome to the first of our bulletins regarding COVID-19 pertinent to health and social care staff. The aim is to provide a signposting resource for staff, educators and researchers in the North East of Scotland on items of interest gathered from the... Read More about North-east COVID-19 observatory: issue 1..

Microwave irradiation synthesis and characterization of reduced-(graphene oxide-(polystyrene-polymethyl methacrylate))/silver nanoparticle nanocomposites and their anti-microbial activity. (2020)
Journal Article
ALDOASRI, M.A., ALSAUD, K.B.B., OTHMAN, A., AL-HINDAWI, M., FAISAL, N.H., AHMED, R., MICHAEL, F.M., KRISHNAN, M.R. and ALSHARAEH, E. 2020. Microwave irradiation synthesis and characterization of reduced-(graphene oxide-(polystyrene-polymethyl methacrylate))/silver nanoparticle nanocomposites and their anti-microbial activity. Polymers [online], 12(5), article ID 1155. Available from: https://doi.org/10.3390/polym12051155

Herein, we report a facile process for the preparation of styrene and methyl-methacrylate copolymer nanocomposites containing reduced graphene oxide and silver nanoparticles ((R-(GO-(PS-PMMA))/AgNPs)) by using (i) microwave irradiation (MWI) to obtai... Read More about Microwave irradiation synthesis and characterization of reduced-(graphene oxide-(polystyrene-polymethyl methacrylate))/silver nanoparticle nanocomposites and their anti-microbial activity..

MUCO-DIS: a new AFM-based nanoscale dissolution technique. (2020)
Journal Article
GHORI, M.U., NIRWAN, J.S., ASIM, T., CHAHID, Y., FARHAJ, S., KHIZER, Z., TIMMINS, P. and CONWAY, B.R. 2020. MUCO-DIS: a new AFM-based nanoscale dissolution technique. AAPS PharmSciTech [online], 21(5), article ID 142. Available from: https://doi.org/10.1208/s12249-020-01697-x

Mucoadhesion-based drug delivery systems have recently gained interest because of their bio-adhesion capability, which results in enhanced residence time leading to prolonged duration of action with the mucosal surface, potentially improving complian... Read More about MUCO-DIS: a new AFM-based nanoscale dissolution technique..

Evolving interval-based representation for multiple classifier fusion. (2020)
Journal Article
NGUYEN, T.T., DANG,M.T., BAGHEL, V.A., LUONG, A.V., MCCALL, J. and LIEW, A.W.-C. 2020 Evolving interval-based representation for multiple classifier fusion. Knowledge-based systems [online], 201-202, article ID 106034. Available from: https://doi.org/10.1016/j.knosys.2020.106034

Designing an ensemble of classifiers is one of the popular research topics in machine learning since it can give better results than using each constituent member. Furthermore, the performance of ensemble can be improved using selection or adaptation... Read More about Evolving interval-based representation for multiple classifier fusion..

Multi-residue enantioselective determination of emerging drug contaminants in seawater by solid phase extraction and liquid chromatography-tandem mass spectrometry. (2020)
Journal Article
MCKENZIE, K., MOFFAT, C.F. and PETRIE, B. 2020. Multi-residue enantioselective determination of emerging drug contaminants in seawater by solid phase extraction and liquid chromatography-tandem mass spectrometry. Analytical methods [online], 12(22), pages 2881-2892. Available from: https://doi.org/10.1039/d0ay00801j

This study proposes a new multi-residue enantioselective method for the determination of emerging drug contaminants in sea water by solid phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). To achieve satisfactory en... Read More about Multi-residue enantioselective determination of emerging drug contaminants in seawater by solid phase extraction and liquid chromatography-tandem mass spectrometry..

A novel spectral-spatial singular spectrum analysis technique for near real-time in-situ feature extraction in hyperspectral imaging. (2020)
Journal Article
FU, H., SUN, G., ZABALZA, J., ZHANG, A., REN, J. and JIA, X. 2020. A novel spectral-spatial singular spectrum analysis technique for near real-time in-situ feature extraction in hyperspectral imaging. IEEE journal of selected topics in applied earth observations and remote sensing [online], 13, pages 2214-2225. Available from: https://doi.org/10.1109/JSTARS.2020.2992230

As a cutting-edge technique for denoising and feature extraction, singular spectrum analysis (SSA) has been applied successfully for feature mining in hyperspectral images (HSI). However, when applying SSA for in situ feature extraction in HSI, conve... Read More about A novel spectral-spatial singular spectrum analysis technique for near real-time in-situ feature extraction in hyperspectral imaging..

All Outputs (634)