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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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Number of items: 3.

Ha, Viet Khanh and Ren, Jinchang and Xu, Xinying and Liao, Wenzhi and Zhao, Sophia and Ren, Jie and Yan, Gaowei (2020) Optimized highway deep learning network for fast single image super-resolution reconstruction. Journal of Real-Time Image Processing, 17 (6). pp. 1961-1970.

Ha, Viet Khanh and Ren, Jin Chang and Xu, Xin Ying and Zhao, Sophia and Xie, Gang and Masero, Valentin and Hussain, Amir (2019) Deep learning based single image super-resolution : a survey. International Journal of Automation and Computing, 16 (4). pp. 413-426. ISSN 1476-8186

Ha, Viet Khanh and Ren, Jinchang and Xu, Xinying and Zhao, Sophia and Xie, Gang and Vargas, Valentin Masero; Hussain, Amir and Luo, Bin and Zheng, Jiangbin and Zhao, Xinbo and Liu, Cheng-Lin and Ren, Jinchang and Zhao, Huimin, eds. (2018) Deep learning based single image super-resolution : a survey. In: International Conference on Brain Inspired Cognitive Systems - BICS 2018. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag, CHN, pp. 106-119. ISBN 978-3-030-00563-4

This list was generated on Sun Feb 5 10:14:42 2023 GMT.