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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...

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Jump to: 2022 | 2020
Number of items: 4.

2022

Fang, Zhenyu and Ren, Jinchang and MacLellan, Calum and Li, Huihui and Zhao, Huimin and Hussain, Amir and Fortino, Giancarlo (2022) A novel multi-stage residual feature fusion network for detection of COVID-19 in chest X-ray images. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 8 (1). pp. 17-27. ISSN 2332-7804

2020

Fang, Zhenyu and Ren, Jinchang and Sun, He and Marshall, Stephen and Han, Junwei and Zhao, Huimin (2020) SAFDet : a semi-anchor-free detector for effective detection of oriented objects in aerial images. Remote Sensing, 12 (19). 3225. ISSN 2072-4292

Fang, Zhenyu and Ren, Jinchang and Marshall, Stephen and Zhao, Huimin and Wang, Zheng and Huang, Kaizhu and Xiao, Bing (2020) Triple loss for hard face detection. Neurocomputing, 398. pp. 20-30. ISSN 0925-2312

Sun, He and Ren, Jinchang and Zhao, Huimin and Sun, Genyun and Liao, Wenzhi and Fang, Zhenyu and Zabalza, Jaime (2020) Adaptive distance-based band hierarchy (ADBH) for effective hyperspectral band selection. IEEE Transactions on Cybernetics. ISSN 2168-2275

This list was generated on Sat Feb 4 19:10:01 2023 GMT.