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Open Access research that pioneers intelligent infrastructure

Strathprints makes available scholarly Open Access content by researchers in the Department of Civil & Environmental Engineering, based within the Faculty of Engineering.

Civil & Environmental Engineering hosts the Centre for Intelligent Infrastructure which harnesses techniques from a variety of sciences and engineering in order to solve problems surrounding safety and resilience of structures supporting energy generation, waste storage, transportation and urban infrastructure. The wider Department also demonstrates specialisms in ground engineering and energy geosciences, as well as environmental sustainability.

Explore the Open Access research of Civil & Environmental Engineering. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019
Number of items: 5.

2020

Khazaei, Mohammad and Stankovic, Lina and Stankovic, Vladimir (2020) Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods. In: 5th International Workshop on Non Intrusive Load Monitoring, 2020-11-18 - 2020-11-18, Virtual.

Afrasiabi, Mousa and Mohammadi, Mohammad and Rastegar, Mohammad and Stankovic, Lina and Afrasiabi, Shahabodin and Khazaei, Mohammad (2020) Deep-based conditional probability density function forecasting of residential loads. IEEE Transactions on Smart Grid, 11 (4). pp. 3746-3757. 8988175. ISSN 1949-3053

Herrero-Bermello, Alaine and Li, Jiangfeng and Khazaei, Mohammad and Grinberg, Yuri and Villafranca-Velasco, Aitor and Vachon, Martin and Cheben, Pavel and Stankovic, Lina and Stankovic, Vladimir and Xu, Dan-Xia and Schmid, Jens H. and Alonso-Ramos, Carlos A. (2020) Smart on-chip Fourier-transform spectrometers harnessing machine learning algorithms. In: SPIE Photonics West OPTO, 2020-02-01 - 2020-02-06.

2019

Khazaei, M. and Stankovic, L. and Stankovic, V.; Sharma, Dinesh, ed. (2019) Trends and challenges in smart metering analytics. In: Review of Business and Technology Research (RBTR). Review of Business and Technology Research, 16 (2). Modern Technology and Management, Inc. USA, MUS, pp. 111-117.

Herrero-Bermello, Alaine and Li, Jiangfeng and Khazaei, Mohammad and Grinberg, Yuri and Vellasco, Aitor V. and Vachon, Martin and Cheben, Pavel and Stankovic, Lina and Stankovic, Vladimir and Xu, Dan-Xia and Schmid, Jens H. and Alonso-Ramos, Carlos (2019) On-chip Fourier-transform spectrometers and machine learning : a new route to smart photonic sensors. Optics Letters. ISSN 0146-9592 (In Press)

This list was generated on Thu Jan 28 01:23:48 2021 GMT.