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Open Access research that is addressing youth & criminal justice...

Advancing our understanding of crime and criminal justice, including youth justice, is a key area of research enquiry by researchers based at the Scottish Centre for Crime & Justice (SCCJR) and the Centre for Youth & Criminal Justice (CYCJ), within the School of Social Work & Social Policy.

SCCJR seeks to advance this understanding through theoretical, empirical and applied research, working with communities and policy makers, while simulatneously fostering a national criminological research capacity. Specialisms include the role of violence, drugs and alcohol in crime and the criminal justice system. Meanwhile, CYCJ remains dedicated to supporting improvements in youth justice, contributing to better lives for individuals, families and communities. Research here focuses on improving youth justice practice, policy and research.

Explore some of the Open Access research from SCCJR and CYCJ. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2018 | 2017 | 2015
Number of items: 4.

2018

Qiao, Tong and Yang, Zhijing and Ren, Jinchang and Yuen, Peter and Zhao, Huimin and Sun, Genyun and Marshall, Stephen and Benediktsson, Jon Atli (2018) Joint bilateral filtering and spectral similarity-based sparse representation : a generic framework for effective feature extraction and data classification in hyperspectral imaging. Pattern Recognition, 77. pp. 316-328. ISSN 0031-3203

2017

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Ling, Wing-Kuen and Zhao, Huimin and Marshall, Stephen (2017) Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification. Remote Sensing, 9 (12). ISSN 2072-4292

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Jiang, Mengying and Ling, Wing-Kuen (2017) Linear vs. nonlinear extreme learning machine for spectral-spatial classification of hyperspectral images. Sensors, 17 (11). ISSN 1424-8220

2015

Qiao, Tong and Ren, Jinchang and Yang, Zhijing and Qing, Chunmei and Zabalza, Jaime and Marshall, Stephen (2015) Visible hyperspectral imaging for lamb quality prediction. Technisches Messen, 82 (12). pp. 643-652. ISSN 0171-8096

This list was generated on Mon Jun 1 17:09:50 2020 BST.