Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

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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 Sat Jan 22 03:01:58 2022 GMT.