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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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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018
Number of items: 2.

2019

Zareappor, Masoumeh and Ren, Jinchang and Zhou, Huiyu and Yang, Wankou (2019) Special section guest editorial : Advances in deep learning for hyperspectral image analysis and classification. Journal of Applied Remote Sensing, 13 (2). 022001. ISSN 1931-3195

2018

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Ling, Bingo Wing-Kuen (2018) Convolutional neural network extreme learning machine for effective classification of hyperspectral images. Journal of Applied Remote Sensing, 12 (3). 035003. ISSN 1931-3195

This list was generated on Wed May 27 04:21:03 2020 BST.