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Items where Author is "Zhao, S."

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Number of items: 13.

Article

Lv, Q., Zeljic, K. ORCID: 0000-0002-4244-5636, Zhao, S. , Zhang, J., Zhang, J. & Wang, Z. (2023). Dissecting Psychiatric Heterogeneity and Comorbidity with Core Region-Based Machine Learning. Neuroscience Bulletin, 39(8), pp. 1309-1326. doi: 10.1007/s12264-023-01057-2

Zhao, S., Sun, D., Zhang, J. , Lu, H., Wang, Y., Xiong, R. & Grattan, K. T. V. ORCID: 0000-0003-2250-3832 (2022). Actuation and biomedical development of micro-/nanorobots – A review. Materials Today Nano, 18, article number 100223. doi: 10.1016/j.mtnano.2022.100223

Shmaliy, Y. S., Khan, S., Zhao, S. & Ibarra-Manzano, O. (2017). General Unbiased FIR Filter With Applications to GPS-Based Steering of Oscillator Frequency. IEEE Transactions on Control Systems Technology, 25(3), pp. 1141-1148. doi: 10.1109/tcst.2016.2583961

Zhao, S., Shmaliy, Y. S., Ji, G. & Khan, S. (2016). Fast bias-constrained optimal FIR filtering for time-invariant state space models. International Journal of Adaptive Control and Signal Processing, 31(7), pp. 1061-1076. doi: 10.1002/acs.2747

Shmaliy, Y. S., Khan, S. & Zhao, S. (2016). Ultimate iterative UFIR filtering algorithm. Measurement, 92, pp. 236-242. doi: 10.1016/j.measurement.2016.06.029

Shmaliy, Y. S., Liu, F., Zhao, S. & Khan, S. (2016). Unbiased, optimal, and in-betweens: the trade-off in discrete finite impulse response filtering. IET Signal Processing, 10(4), pp. 325-334. doi: 10.1049/iet-spr.2015.0360

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2016). On the evaluation of finite-time ruin probabilities in a dependent risk model. Applied Mathematics and Computation, 275, pp. 268-286. doi: 10.1016/j.amc.2015.11.082

Zhao, S., Shmaliy, Y. S., Liu, F. , Ibarra-Manzano, O. & Khan, S. (2015). Effect of embedded unbiasedness on discrete-time optimal FIR filtering estimates. EURASIP Journal on Advances in Signal Processing, 2015(1), article number 83. doi: 10.1186/s13634-015-0268-0

Zhao, S., Shmaliy, Y. S., Khan, S. & Liu, F. (2015). Improving state estimates over finite data using optimal FIR filtering with embedded unbiasedness. 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 2177-2180. doi: 10.1109/eusipco.2015.7362770

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2015). Modeling Finite-Time Failure Probabilities in Risk Analysis Applications. Risk Analysis, 35(10), pp. 1919-1939. doi: 10.1111/risa.12384

Granados-Cruz, M., Shmaliy, Y. S., Khan, S. , Ahn, C. K. & Zhao, S. (2015). New results in nonlinear state estimation using extended unbiased fir filtering. 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 679-683. doi: 10.1109/eusipco.2015.7362469

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2015). On finite-time ruin probabilities in a generalized dual risk model with dependence. European Journal of Operational Research, 242(1), pp. 134-148. doi: 10.1016/j.ejor.2014.10.007

Thesis

Zhao, S. (1999). The Numerical Study of Fluid-Solid Interactions for Modelling Blood Flow in Arteries. (Unpublished Doctoral thesis, City, University of London)

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