Picture of molecule

Open Access research that better understands matter at a molecular level...

Strathprints makes available Open Access scholarly outputs by researchers based within the Department of Chemical & Process Engineering. Key areas of research specialism include the manufacture and application of porous materials and metal-organic frameworks; the properties and processing of polymeric materials; the nucleation, growth and separation of crystals; the applications of electrochemistry to coatings, metal ion recovery, and water clean-up.

Explore some of this Open Access research from Chemical & Process Engineering. Or explore all Strathclyde Open Access research...

Browse by Author or creator

Group by: Publication Date | Item type | No Grouping
Number of items: 11.

Article

Tschannerl, Julius and Ren, Jinchang and Yuen, Peter and Sun, Genyun and Zhao, Huimin and Yang, Zhijing and Wang, Zheng and Marshall, Stephen (2019) MIMR-DGSA : unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm. Information Fusion, 51. pp. 189-200. ISSN 1566-2535

Tschannerl, Julius and Ren, Jinchang and Zhao, Huimin and kao, Fu-Jen and Marshall, Stephen and Yuen, Peter (2019) Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination. Optics and Lasers in Engineering, 121. pp. 352-357. ISSN 0143-8166

Zhao, Jing and Ren, Jinchang and Gao, Jinghuai and Tschannerl, Julius and Murray, Paul and Wang, Daxing (2019) Automatic events extraction in pre-stack seismic data based on edge detection in slant-stacked peak amplitude profiles. Journal of Petroleum Science and Engineering, 178. pp. 459-466. ISSN 0920-4105

Tschannerl, Julius and Ren, Jinchang and Jack, Frances and Krause, Julius and Zhao, Huimin and Huang, Wenjiang and Marshall, Stephen (2019) Potential of UV and SWIR hyperspectral imaging for determination of levels of phenolic flavour compounds in peated barley malt. Food Chemistry, 270. pp. 105-112. ISSN 0308-8146

Mishra, Puneet and Nordon, Alison and Tschannerl, Julius and Lian, Guoping and Redfern, Sally and Marshall, Stephen (2018) Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products. Journal of Food Engineering, 238. pp. 70-77. ISSN 0260-8774

Michael, Kaleena and Siti Salwa Binti Md Noor, S and Tschannerl, Julius and Ren, Jinchang and Marshall, Stephen (2017) The properties of the cornea based on hyperspectral imaging. Investigative Ophthalmology and Visual Science, 58 (8). 2439. ISSN 0146-0404

Book Section

Noor, S.S.M. and Michael, K. and Marshall, S. and Ren, J. and Tschannerl, J. and Kao, F.J.; Minárik, Ivan and Rybárová, Renata and Trúchly, Peter and Rozinaj, Gregor, eds. (2016) The properties of the cornea based on hyperspectral imaging : optical biomedical engineering perspective. In: Proceedings: the 23rd International Conference on Systems, Signals and Image Processing. IEEE, SVK. ISBN 9781467395557

Conference or Workshop Item

Tschannerl, Julius and Ren, Jinchang and Zabalza, Jaime and Marshall, Stephen (2018) Segmented autoencoders for unsupervised embedded hyperspectral band selection. In: 7th European Workshop on Visual Information Processing, 2018-11-26 - 2018-11-28.

Tschannerl, Julius and Ren, Jinchang and Marshall, Stephen (2018) Low cost hyperspectral imaging using deep learning based spectral reconstruction. In: Hyperspectral Imaging Applications (HSI) 2018, 2018-10-10 - 2018-10-11.

Tschannerl, Julius and Ren, Jinchang and Jack, Frances and Marshall, Stephen and Zhao, Huimin (2017) Employing NIR-SWIR hyperspectral imaging to predict the smokiness of Scotch whisky. In: Optical Characterization of Materials 2017, 2017-03-22 - 2017-03-23, Franhofer IOSB.

Tschannerl, Julius and Ren, Jinchang and McKee, David and Marshall, Stephen (2016) An integrated camera system for effective acquisition, capturing and transmission of hyperspectral data. In: Hyperspectral Imaging 2016, 2016-10-12 - 2016-10-13, Ricoh Arena.

This list was generated on Wed Feb 1 13:35:43 2023 GMT.