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International Open Access Week! Discover open research knowledge at Strathprints...

25-31 October is International Open Access Week 2021, the theme of which is 'Building Structural Equity' into open knowledge, aligning closely with UNESCO's recently released Recommendation on Open Science.

The Strathprints repository provides a digital archive of University of Strathclyde research outputs. Up to 95% of University of Strathclyde research content published since 2015, such as papers and articles, is available from this repository as Open Access thereby supporting equity in open knowledge - and the team supporting open initiatives at Strathclyde is working tirelessly to make even more content open! Explore recent Open Access research content by world leading researchers across science, engineering, business, social sciences and humanities disciplines.

Or explore all Open Access research content...

Strathprints

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Number of items: 6.

2020

Xiao, Peng and Cheng, Samuel and Stankovic, Vladimir and Vukobratovic, Dejan (2020) Averaging is probably not the optimum way of aggregating parameters in federated learning. Entropy, 22 (3). 314. ISSN 1099-4300

2019

Yang, Weiqi and Gu, Xiao-Jun and Emerson, David R. and Zhang, Yonghao and Tang, Shuo (2019) Modelling thermally induced non-equilibrium gas flows by coupling kinetic and extended thermodynamic methods. Entropy, 21 (8). 816. ISSN 1099-4300

2018

Mitiche, Imene and Morison, Gordon and Nesbitt, Alan and Stewart, Brian G. and Boreham, Philip (2018) Entropy-based feature extraction for electromagnetic discharges classification in high-voltage power generation. Entropy, 20 (8). 549. ISSN 1099-4300

Frank, Michael and Drikakis, Dimitris (2018) Thermodynamics at solid-liquid interfaces. Entropy, 20 (5). 362. ISSN 1099-4300

2017

Iubini, Stefano and Lepri, Stefano and Livi, Roberto and Oppo, Gian-Luca and Politi, Antonio (2017) A chain, a bath, a sink and a wall. Entropy, 19 (9). 445. ISSN 1099-4300

Shang, Haikun and Lo, Kwok Lun and Li, Feng (2017) Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy. Entropy, 19 (9). 439. ISSN 1099-4300

This list was generated on Thu Oct 21 09:28:16 2021 BST.