Picture of wind farm

Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or explore all of Strathclyde's Open Access research...

Browse by Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 9.

2019

Yue, Zhenyu and Gao, Fei and Xiong, Qingxu and Wang, Jun and Huang, Teng and Yang, Erfu and Zhou, Huiyu (2019) A novel semi-supervised convolutional neural network method for synthetic aperture radar image recognition. Cognitive Computation. pp. 1-12. ISSN 1866-9964

2018

Gao, Fei and Huang, Teng and Sun, Jinping and Wang, Jun and Hussain, Amir and Yang, Erfu (2018) A new algorithm of SAR image target recognition based on improved deep convolutional neural network. Cognitive Computation. ISSN 1866-9964

2017

Yan, Yijun and Ren, Jinchang and Zhao, Huimin and Sun, Genyun and Wang, Zheng and Zheng, Jiangbin and Marshall, Stephen and Soraghan, John (2017) Cognitive fusion of thermal and visible imagery for effective detection and tracking of pedestrians in videos. Cognitive Computation. ISSN 1866-9964

2016

Zhou, Yan and Zeng, Fan-Zhi and Zhao, Hui-min and Murray, Paul and Ren, Jinchang (2016) Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval. Cognitive Computation. ISSN 1866-9964

Gao, Fei and Ma, Fei and Zhang, Yaotian and Wang, Jun and Sun, Jinping and Yang, Erfu and Hussain, Amir (2016) Biologically inspired progressive enhancement target detection from heavy cluttered SAR images. Cognitive Computation. pp. 1-12. ISSN 1866-9964

Ullah, Amjad and Li, Jingpeng and Hussain, Amir and Yang, Erfu (2016) Towards a biologically Inspired soft switching approach for cloud resource provisioning. Cognitive Computation. pp. 1-14. ISSN 1866-9964

2015

Tu, Zhengzheng and Zheng, Aihua and Yang, Erfu and Luo, Bin and Hussain, Amir (2015) A biologically inspired vision-based approach for detecting multiple moving objects in complex outdoor scenes. Cognitive Computation, 7 (5). pp. 539-551. ISSN 1866-9964

Zhao, Huimin and Ren, Jinchang (2015) Cognitive computation of compressed sensing for watermark signal measurement. Cognitive Computation. ISSN 1866-9964

Gao, Fei and Zhang, Ye and Wang, Jun and Sun, Jinping and Yang, Erfu and Hussain, Amir (2015) Visual attention model based vehicle target detection in synthetic aperture radar images : a novel approach. Cognitive Computation, 7 (4). pp. 434-444. ISSN 1866-9964

This list was generated on Tue May 26 02:25:50 2020 BST.