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Open Access research that improves the lives of children and families...

Strathprints makes available scholarly Open Access content by scholars in the School of Social Work & Social Policy, based within the Faculty of Humanities & Social Sciences (HaSS) .

Research at Social Work & Social Policy seeks to understand the social experiences of children, young people and families, in order to support evidence-informed policy. Issues of public health, health inequalities and health history within the context of social work are also important research themes. Research centres, such as CELCIS (Centre for Excellence for Children's Care & Protection) and the CYCJ (Centre for Youth & Criminal Justice) operate in furtherance of these research areas, supporting evidence-based solutions to improve child wellbeing and improvements in youth justice, and the lives of families and communities.

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Number of items: 7.

Hou, Jie and Huang, Yanli and Yang, Erfu (2019) ψ-type stability of reaction–diffusion neural networks with time-varying discrete delays and bounded distributed delays. Neurocomputing, 340. pp. 281-293. ISSN 0925-2312

Wang, Zheng and Ren, Jinchang and Zhang, Dong and Sun, Meijun and Jiang, Jianmin (2018) A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos. Neurocomputing. ISSN 0925-2312

Gao, Fei and You, Jialing and Wang, Jun and Sun, Jinping and Yang, Erfu and Zhou, Huiyu (2017) A novel target detection method for SAR images based on shadow proposal and saliency analysis. Neurocomputing, 267. pp. 220-231. ISSN 0925-2312

Zabalza, Jaime and Ren, Jinchang and Zheng, Jiangbin and Zhao, Huimin and Qing, Chunmei and Yang, Zhijing and Du, Peijun and Marshall, Stephen (2016) Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging. Neurocomputing, 185. pp. 1-10. ISSN 0925-2312

Sun, Meijun and Zhang, Dong and Wang, Zheng and Ren, Jinchang and Jin, Jesse S. (2015) Monte Carlo convex hull model for classification of traditional Chinese paintings. Neurocomputing. ISSN 0925-2312

Tang, Dawei and Wong, T. C. and Chin, K. S. and Kwong, C. K. (2014) Evaluation of user satisfaction using evidential reasoning-based methodology. Neurocomputing, 142. pp. 86-94. ISSN 0925-2312

Hussain, A. and Fiori, S. and Qureshi, I. and Durrani, T.S. and Ahmed, M.M. and Fukushima, K. (2008) Engineering of intelligent systems (editorial). Neurocomputing, 71 (13-15). pp. 2616-2618. ISSN 0925-2312

This list was generated on Sun Nov 17 09:02:55 2019 GMT.