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• Uncertainty estimation in production predictions constrained by production history and time-lapse seismic in a GOM oil field

  Litvak, M., Christie, M. A., Johnson, D., Colbert, J. & Sambridge, M., 2005, p. 8 pp. 8 p.

  Research output: Contribution to conference › Paper

• Uncertainty in Chemical Flooding: A new data optimization algorithm for modelling of surfactant flood

  Akinyele, O. & Stephen, K. D., Mar 2022, 2nd EAGE Digitalization Conference and Exhibition. EAGE Publishing BV, p. 1-5 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

  Madani, S. H., Badalyan, A., Biggs, M. J. & Pendleton, P., 15 Sep 2015, In: Microporous and Mesoporous Materials. 214, p. 210-216 7 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Uncertainty in pore size distribution derived from adsorption isotherms: II. Adsorption integral approach

  Madani, S. H., Diaz, L. H., Biggs, M. J. & Pendleton, P., 15 Sep 2015, In: Microporous and Mesoporous Materials. 214, p. 217-223 7 p.

  Research output: Contribution to journal › Article › peer-review
  13 Citations (Scopus)

• Uncertainty in robot assisted second language conversation practice

  Cumbal, R., Lopes, J. & Engwall, O., 23 Mar 2020, HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, p. 171-173 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Uncertainty in the estimation of fluid loading due to the effects of marine growth

  Wolfram, J., Jusoh, I. & Sell, D., 1993, Safety and Reliability. Vol. 2. p. 219-228 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  17 Citations (Scopus)

• Uncertainty in time-lapse saturation signal due to uncertainty in (K_frame/K₀) ratio

  Amini, H. & MacBeth, C., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Uncertainty in Time-Lapse Saturation Signal Due to Uncertainty in (κframe/κ0) Ratio

  Amini, H. & MacBeth, C., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Uncertainty in well test and core permeability analysis: A case study in fluvial channel reservoirs, northern North Sea, Norway

  Zheng, S-Y., Corbett, P. W. M., Ryseth, A. & Stewart, G., Dec 2000, In: AAPG Bulletin. 84, 12, p. 1929-1954 26 p.

  Research output: Contribution to journal › Article › peer-review
  29 Citations (Scopus)

• Uncertainty in Widmark calculations: ABV variation in packaged versions of the most popular beers in the UK

  Reid, S., Maskell, P. D. & Maskell, D. L., 19 Nov 2018, (E-pub ahead of print) In: Science and Justice.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  3 Citations (Scopus)

  31 Downloads (Pure)

• Uncertainty quantification and geological parameterisation

  Christie, M. A., Demyanov, V., Pickup, G. E., O'Sullivan, A. E., Arnold, D., Erbas, D., Okano, H. & Valjak, M., May 2006, p. 10 pp. 10 p.

  Research output: Contribution to conference › Paper

• Uncertainty Quantification for Foam Flooding in Fractured Carbonate Reservoirs

  Almaqbali, A. S. H., Spooner, V., Geiger, S., Arnold, D. & Mackay, E. J., 2017, SPE Reservoir Simulation Conference 2017. Society of Petroleum Engineers, SPE-182669-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Uncertainty quantification for porous media flows

  Christie, M., Demyanov, V. & Erbas, D., 1 Sep 2006, In: Journal of Computational Physics. 217, 1, p. 143-158 16 p.

  Research output: Contribution to journal › Article › peer-review
  80 Citations (Scopus)

• Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

  Cai, X., Pereyra, M. A. & McEwen, J. D., 27 Jul 2018, In: Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4154–4169 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  28 Citations (Scopus)

  21 Downloads (Pure)

• Uncertainty quantification for radio interferometric imaging: II. MAP estimation

  Cai, X., Pereyra, M. A. & McEwen, J. D., Nov 2018, In: Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4170–4182 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  13 Citations (Scopus)

  22 Downloads (Pure)

• Uncertainty quantification for reservoir performance prediction

  Christie, M. A., May 2008.

  Research output: Contribution to conference › Paper

• Uncertainty quantification for reservoir performance prediction

  Christie, M. A., May 2007, p. 32 pp. 32 p.

  Research output: Contribution to conference › Paper

• Uncertainty Quantification in Astro-Imaging by Optimisation

  Repetti, A., Pereyra, M. A. & Wiaux, Y., Feb 2019. 1 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  67 Downloads (Pure)

• Uncertainty Quantification in CT pulmonary angiography

  Rambojun, A., Komber, H., Rossdale, J., Suntharalingam, J., Rodrigues, J., Ehrhardt, M. & Repetti, A., Dec 2022, (Submitted) In: Proceedings of the National Academy of Sciences. 6 p.

  Research output: Contribution to journal › Article › peer-review

• Uncertainty Quantification in Fractured Reservoirs Based on Outcrop Modelling from Northeast Brazil

  Bakay, A., Demyanov, V. & Arnold, D., 11 Apr 2016, 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Uncertainty quantification in history matching of fluvial reservoirs with connectivity analysis and realistic geology

  Rojas, T. S., Demyanov, V., Arnold, D. & Christie, M. A., 2013, 75th European Association of Geoscientists and Engineers Conference and Exhibition 2013: Changing Frontiers: Incorporating SPE EUROPEC 2013. Houten: EAGE Publishing BV, p. 84-88 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis

  Repetti, A., Pereyra, M. A. & Wiaux, Y., 3 Dec 2018, 26th European Signal Processing Conference (EUSIPCO 2018). IEEE, p. 2668-2672 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  34 Downloads (Pure)

• Uncertainty quantification in producing fields using the Neighbourhood Algorithm

  Nicotra, G., Rotondi, M., Godi, A. & Christie, M. A., Sep 2006, p. 1-10. 10 p.

  Research output: Contribution to conference › Paper

• Uncertainty Quantification in Reservoir Prediction: Part 2—Handling Uncertainty in the Geological Scenario

  Demyanov, V., Arnold, D., Rojas, T. & Christie, M., Feb 2019, In: Mathematical Geosciences. 51, 2, p. 241–264 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  12 Citations (Scopus)

  134 Downloads (Pure)

• Uncertainty Quantification in Reservoir Prediction: Part 1—Model Realism in History Matching Using Geological Prior Definitions

  Arnold, D., Demyanov, V., Rojas, T. & Christie, M., Feb 2019, In: Mathematical Geosciences. 51, 2, p. 209-240 32 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  21 Citations (Scopus)

  156 Downloads (Pure)

• Uncertainty quantification in reservoir simulation: a case study

  Valjak, M., Sep 2007.

  Research output: Contribution to conference › Paper

• Uncertainty quantification of a semi-supervised support vector regression reservoir model

  Demyanov, V., Pozdnoukhov, A., Christie, M. A. & Kanevski, M., 2009, IAMG 2009: Computational Methods for the Earth, Energy and Environmental Sciences. Stanford: Stanford University, 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Uncertainty quantification of pseudo-adsorption isotherm history matching

  Vazquez, O., Azari, V., Fursov, I., Igben, E. & Mackay, E., 24 Jun 2020, SPE International Oilfield Scale Conference and Exhibition 2020. Society of Petroleum Engineers, SPE-200715-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Uncertainty quantification with application of distance metric in naturally fractured reservoirs modelling

  Gopa, K., Demyanov, V., Elfeel, M. A. & Arnold, D., 7 Apr 2014, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper

• Uncertainty quantification with support vector regression prediction models

  Demyanov, V., Pozdnoukhov, A., Kanevski, M. & Christie, M. A., Jul 2010.

  Research output: Contribution to conference › Paper

• Uncertainty reduction in modelling deltaic reservoirs using intelligent sedimentological prior information

  Rojas, T. S., Demyanov, V., Christie, M. A. & Arnold, D., 28 Sep 2014, p. 1-1. 1 p.

  Research output: Contribution to conference › Abstract

• Uncertainty reduction in reservoir modeling

  Subbey, S. Y., Christie, M. A. & Sambridge, M., Aug 2002, In: Chen, Z. and Ewing, R. E., eds., Fluid flow and transport in porous media: mathematical and numerical treatment. Providence, Rhode Island: American Mathematical Society. p. 457-467 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Unconditionally secure digital signatures implemented in an eight-user quantum network

  Pelet, Y., Puthoor, I. V., Venkatachalam, N., Wengerowsky, S., Lončarić, M., Neumann, S. P., Liu, B., Samec, Ž., Stipčević, M., Ursin, R., Andersson, E., Rarity, J. G., Aktas, D. & Joshi, S. K., 3 Oct 2022, In: New Journal of Physics. 24, 9, 093038.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  3 Downloads (Pure)

• Unconditionally secure quantum signatures

  Amiri, R. & Andersson, E., 2015, In: Entropy. 17, 8, p. 5635-5659 25 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  42 Citations (Scopus)

  53 Downloads (Pure)

• 'Unconscionability' as an exception to the principle of autonomy: How well is it entrenched in Singaporean Jurisdiction?

  Chhina, R., Aug 2016, In: Lloyd's Maritime and Commercial Law Quarterly. p. 412-435 24 p.

  Research output: Contribution to journal › Article › peer-review

• Unconstrained synthesis of covariance matrix for MIMO radar transmit beampattern

  Petillot, Y., Mulgrew, B., Ahmed, S. & Thompson, J., 2011, In: IEEE Transactions on Signal Processing. 59, 8, p. 3837- 3849 12 p.

  Research output: Contribution to journal › Article › peer-review
  138 Citations (Scopus)

• Unconventional flashover mitigation measures to improve the lightning performance of transmission lines

  Koehler, F. & Swingler, J., 21 May 2018, IET International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017). Institution of Engineering and Technology

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Unconventional waveform design forwireless power transfer

  Boaventura, A., Carvalho, N. B. & Georgiadis, A., 2016, Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks. Nikoletseas, S., Yang, Y. & Georgiadis, A. (eds.). Springer, p. 137-159 23 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  2 Citations (Scopus)

• Uncovering emotional memories in robot soccer players

  Allan, C., Couceiro, M. S. & Vargas, P. A., 2015, 24th IEEE International Workshop on Robot and Human Interactive Communication (ROMAN 2015). IEEE, p. 474-479 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach

  Ranieri, C. M., Vargas, P. A. & Romero, R. A. F., 28 Sep 2020, 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 9207255. (International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  7 Citations (Scopus)

  30 Downloads (Pure)

• Uncovering inefficiencies in the workers’ compensation industry using Lean methodology

  Taha, O., Mazzuchi, T. A., Sarkani, S., Antony, J. & Furterer, S., 30 Aug 2021, (E-pub ahead of print) In: TQM Journal.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Uncovering microbial hydrocarbon degradation processes: the promise of stable isotope probing

  Gutierrez, T. & Kleindienst, S., 5 Feb 2020, (E-pub ahead of print) Marine Hydrocarbon Seeps: Microbiology and Biogeochemistry of a Global Marine Habitat. Teske, A. & Carvalho, V. (eds.). Springer, p. 183-199 (Springer Oceanography).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Uncovering nonlinear structure in human ECG recordings

  Small, M., Yu, D., Simonotto, J., Harrison, R. G., Grubb, N. & Fox, K. A. A., 2001, In: Chaos, Solitons and Fractals.

  Research output: Contribution to journal › Article › peer-review

• Uncovering non-linear structure in human ECG recordings

  Small, M., Yu, D., Simonotto, J., Harrison, R. G., Grubb, N. & Fox, K. A. A., Aug 2002, In: Chaos, Solitons and Fractals. 13, 8, p. 1755-1762 8 p.

  Research output: Contribution to journal › Article › peer-review
  50 Citations (Scopus)

• Uncovering teacher beliefs in EAP

  Alexander, O., May 2013, Snapshots of EAP Research Journeys. BALEAP, p. 11-14 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

  Li, R., Wang, S., Long, Z. & Gu, D., 13 Sep 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, p. 7286-7291 6 p. (International Conference on Robotics and Automation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  277 Citations (Scopus)

  70 Downloads (Pure)

• Underdamped modes in a hydrodynamically coupled microparticle system

  Yao, A. M., Keen, S. A. J., Burnham, D. R., Leach, J., Di Leonardo, R., McGloin, D. & Padgett, M. J., 19 May 2009, In: New Journal of Physics. 11, p. - 8 p., 053007.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Undergraduate degree awards in teacher education: Constant standards in a Changing context

  Sharp, S., 1996, In: Assessment and Evaluation in Higher Education. 21, 4, p. 325-334 10 p.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Undergraduate interns as staff developers: flowers in the desert

  Tierney, A. M., Feb 2012, In: Innovations in Education and Teaching International. 49, 1, p. 7-17 11 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Undergraduate perceptions of the knowledge, skills and competencies required of today's practicing marketer

  Carter, S. & Yeo, A. C. M., 14 Aug 2017, In: Higher Education, Skills and Work-Based Learning. 7, 3, p. 240-260 21 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)