1. Brunel University Research Archive

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Results 8461-8470 of 13511 (Search time: 0.023 seconds).
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Issue DateTitleAuthor(s)
9-Jul-2020Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography.Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, MF; Shieh, J-S
2-Aug-20164D printing: processability and measurement of recovery force in shape memory polymersMonzón, MD; Paz, R; Pei, E; Ortega, F; Suárez, LA; Ortega, Z; Alemán, ME; Plucinski, T; Clow, N
2020Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via PhotoplethysmographySadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, M; Shieh, J-S
11-Nov-2016Self-Powered and Bio-Inspired Dynamic Systems: Research and EducationKhoshnoud, F; Esat, II; Bonser, RHC; de Silva, CW; McKerns, MM; Owhadi, H
16-Jan-2018A Review of Advanced Composite and Nanostructured Coatings by Solid-State Cold Spraying ProcessLi, W; Assadi, H; Gaertner, F; Yin, S
18-May-2019ISPH–PBD: coupled simulation of incompressible fluids and deformable bodiesAbu Rumman, N; Nair, P; Müller, P; Barthe, L; Vanderhaeghe, D
22-Feb-2021The role of SO-group-based additives in improving the rechargeable aluminium-air batteriesHosseini, S; Liu, ZY; Chuan, CT; Soltani, SM; Lanjapalli, VVK; Li, YY
15-Feb-2018Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed SensingGan, L; Zhang, P; Ling, C; Sun, S
9-Aug-2018State of the art in fatigue modelling of composite wind turbine bladesRubiella, C; Hessabi, C; Soleiman Fallah, A
2016Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation methodFan, YR; Huang, GH; Baetz, BW; Li, YP; Huang, K; Li, Z; Chen, X; Xiong, LH

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