Items where Subject is "Computer Science"

Artioli, Y, Blackford, JC, Butenschon, M, Holt, JT, Wakelin, SL, Thomas, H, Borges, AV and Allen, JI 2012 The carbonate system of the NW European shelf: sensitivity and model validation. Journal of Marine Systems, 102-10. Jan-13. https://doi.org/10.1016/j.jmarsys.2012.04.006

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Baumann, P, Mazzetti, P, Ungar, J, Barbera, R, Barboni, D, Beccati, A, Bigagli, L, Boldrini, E, Bruno, R, Calanducci, A, Campalani, P, Clements, O, Dumitru, A, Grant, MG, Herzig, P, Kakaletris, G, Laxton, J, Koltsida, P, Lipskoch, K, Mahdiraji, AR, Mantovani, S, Merticariu, V, Messina, A, Misev, D, Natali, S, Nativi, S, Oosthoek, J, Pappalardo, M, Passmore, J, Rossi, AP, Rundo, F, Sen, M, Sorbera, V, Sullivan, D, Torrisi, M, Trovato, L, Veratelli, MG and Wagner, S 2016 Big Data Analytics for Earth Sciences: the EarthServer approach. International Journal of Digital Earth, 9 (1). 3-29. https://doi.org/10.1080/17538947.2014.1003106

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Beecham, J, Bruggeman, J, Aldridge, J and Mackinson, S 2016 Couplerlib: a metadata-driven library for the integration of multiple models of higher and lower trophic level marine systems with inexact functional group matching. Geoscientific Model Development, 9 (3). 947-964. https://doi.org/10.5194/gmd-9-947-2016

Bruggeman, J and Bolding, K 2014 A general framework for aquatic biogeochemical models. Environmental Modelling & Software, 61. 249-265. https://doi.org/10.1016/j.envsoft.2014.04.002

Butenschon, M, Clark, JR, Aldridge, JN, Allen, JI, Artioli, Y, Blackford, JC, Bruggeman, J, Cazenave, P, Ciavatta, S, Kay, S, Lessin, G, van Leeuwen, S, Van der Molen, J, de Mora, L, Polimene, L, Sailley, SF, Stephens, N and Torres, R 2015 ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels. Geoscientific Model Development Discussions, 8 (8). 7063-7187. https://doi.org/10.5194/gmdd-8-7063-2015

Butenschon, M, Clark, JR, Aldridge, JN, Allen, JI, Artioli, Y, Blackford, JC, Bruggeman, J, Cazenave, P, Ciavatta, S, Kay, S, Lessin, G, van Leeuwen, S, Van der Molen, J, de Mora, L, Polimene, L, Sailley, SF, Stephens, N and Torres, R 2016 ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels. Geoscientific Model Development, 9 (4). 1293-1339. https://doi.org/10.5194/gmd-9-1293-2016

Edwards, KP, Barciela, R and Butenschon, M 2012 Validation of the NEMO-ERSEM operational ecosystem model for the North West European Continental Shelf. Ocean Science, 8. 983 - 1000. https://doi.org/10.5194/osd-9-745-2012

Estelles, V, Campanelli, M, Smyth, TJ, Utrillas, MP and Martínez-Lozano, JA 2012 Evaluation of the new ESR network software for the retrieval of direct sun products from cimel ce318 and prede pom01 sun-sky radiometers.. Atmospheric Chemistry and Physics. 11619 - 11630. https://doi.org/10.5194/acp-12-11619-2012

Fernandes, JA, Irigoien, X, Lozano, JA, Inza, I, Goikoetxea, N and Pérez, A 2015 Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species. Ecological Informatics, 25. 35-42. https://doi.org/10.1016/j.ecoinf.2014.11.004

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Goolsby, EW, Bruggeman, J and Ané, C 2016 Rphylopars: fast multivariate phylogenetic comparative methods for missing data and within-species variation. Methods in Ecology and Evolution, 8 (1). 22-27. https://doi.org/10.1111/2041-210X.12612

Hellweger, FL, Clegg, R, Clark, JR, Plugge, CM and Kreft, J-U 2016 Advancing microbial sciences by individual-based modeling. Nature Reviews Microbiology, 14. 461-471. https://doi.org/10.1038/nrmicro.2016.62

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Herzog, Nitzan, Johnstone, Alexander, Bellamy, Tomas and Russel, Noah 2021 Characterization of neuronal viability and network activity under microfluidic flow. Journal of Neuroscience Methods, 358. https://doi.org/10.1016/j.jneumeth.2021.109200

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Holt, JT, Allen, JI, Anderson, TR, Brewin, RJW, Butenschon, M, Harle, J, Huse, G, Lehodey, P, Lindemann, C, Memery, L, Salihoglu, B, Senina, I and Yool, A 2014 Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean. Progress in Oceanography, 129. 285-313. https://doi.org/10.1016/j.pocean.2014.04.024

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Holt, JT, Butenschon, M, Wakelin, SL, Artioli, Y and Allen, JI 2012 Oceanic controls on the primary production of the northwest European continental shelf: model experiments under recent past conditions and a potential future scenario. Biogeosciences, 9. 97 - 117. https://doi.org/10.5194/bg-9-97-2012

Land, PE, Bailey, TC, Taberner, M, Pardo, S, Sathyendranath, S, Nejabati Zenouz, K, Brammall, V, Shutler, JD and Quartly, GD 2018 A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour [in special issue: Remote Sensing of Ocean Colour] Remote Sensing, 10. https://doi.org/10.3390/rs10050695

Land, PE, Shutler, J, Bell, TG and Yang, M 2014 Exploiting satellite earth observation to quantify current global oceanic DMS flux and its future climate sensitivity. Journal of Geophysical Research: Oceans. https://doi.org/10.1002/2014jc010104

Miller, PI, Xu, W and Carruthers, M 2015 Seasonal shelf-sea front mapping using satellite ocean colour and temperature to support development of a marine protected area network [in special issue: Physical Oceanography of Fronts] Deep Sea Research Part II: Topical Studies in Oceanography, 119. 3-19. https://doi.org/10.1016/j.dsr2.2014.05.013

Moffat, David, De Man, Brecht and Reiss, Joshua D. 2022 Semantic Music Production: A Meta-Study. Journal of the Audio Engineering Society, 70 (7/8). 548-564. https://doi.org/10.17743/jaes.2022.0023

Mullon, C, Merino, G, Fernandes, JA, Cheung, W and Barange, M 2014 A modeling framework for oceanic basins under double exposure. International Environmental Modelling and Software Society (iEMSs). 7th International Congress on Environmental Modelling and Software. San Diego, California, USA,. International Environmental Modelling and Software Society (iEMSs).

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Mutshinda, CM, Finkel, ZV, Widdicombe, CE and Irwin, AJ 2016 Ecological equivalence of species within phytoplankton functional groups. Functional Ecology, 30 (10). 1714-1722. https://doi.org/10.1111/1365-2435.12641

Mutshinda, CM, Finkel, ZV, Widdicombe, CE and Irwin, AJ 2017 Phytoplankton traits from long-term oceanographic time-series. Marine Ecology Progress Series. https://doi.org/10.3354/meps12220

Orland, C, Queiros, AM, Spicer, JI, McNeill, CL, Higgins, S, Goldworthy, S, Zananiri, T, Archer, L and Widdicombe, S 2016 Application of computer-aided tomography techniques to visualize kelp holdfast structure reveals the importance of habitat complexity for supporting marine biodiversity. Journal of Experimental Marine Biology and Ecology, 477. 47-56. https://doi.org/10.1016/j.jembe.2016.01.003

Polimene, L, Brunet, C, Butenschon, M, Martinez-Vicente, V, Widdicombe, CE, Torres, R and Allen, JI 2014 Modelling a light-driven phytoplankton succession. Journal of Plankton Research, 36 (1). 214-229. https://doi.org/10.1093/plankt/fbt086

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Queiros, AM, Bruggeman, J, Stephens, N, Artioli, Y, Butenschon, M, Blackford, JC, Widdicombe, S, Allen, JI and Somerfield, PJ 2015 Placing biodiversity in ecosystem models without getting lost in translation. Journal of Sea Research. https://doi.org/10.1016/j.seares.2014.10.004

Queiros, AM, Huebert, KB, Keyl, F, Fernandes, JA, Stolte, W, Maar, M, Kay, S, Jones, MC, Hamon, KG, Hendriksen, G, Vermard, Y, Marchal, P, Teal, LR, Somerfield, PJ, Austen, MC, Barange, M, Sell, AF, Allen, JI and Peck, MA 2016 Solutions for ecosystem-level protection of ocean systems under climate change. Global Change Biology, 22. 3927-3936. https://doi.org/10.1111/gcb.13423

Saux Picart, S, Allen, JI, Butenschon, M, Artioli, Y, de Mora, L, Wakelin, S and Holt, JT 2015 What can ecosystem models tell us about the risk of eutrophication in the North Sea?. Climatic Change. https://doi.org/10.1007/s10584-014-1071-x

Szewczyk, TM, Moore, PJ, Smale, DA, Adams, T and Burrows, MT 2023 Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms. Ecological Modelling, 488. https://doi.org/10.1016/j.ecolmodel.2023.110590

Taylor, JR, Bachman, S, Stamper, M, Hosegood, P, Adams, K, Sallee, J-B and Torres, R 2018 Submesoscale Rossby waves on the Antarctic circumpolar current. Science Advances, 4 (3). https://doi.org/10.1126/sciadv.aao2824

Terseleer, N, Bruggeman, J, Lancelot, C and Gypens, N 2014 Trait-based representation of diatom functional diversity in a plankton functional type model of the eutrophied southern North Sea. Limnology and Oceanography, 59 (6). 1958-1972. https://doi.org/10.4319/lo.2014.59.6.1958

Trifonova, N, Kenny, A, Maxwell, D, Duplisea, D, Fernandes, JA and Tucker, A 2015 Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology. Ecological Informatics, 30. 142-158. https://doi.org/10.1016/j.ecoinf.2015.10.003

Venkatesh, S, Moffat, D and Miranda, E 2022 You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. Applied Sciences, 12 (7), 3293. https://doi.org/10.3390/app12073293

Venkatesh, Satvik, Moffat, David and Miranda, Eduardo Reck 2022 Word Embeddings for Automatic Equalization in Audio Mixing. Journal of the Audio Engineering Society. (In Press)

Warren, MA, Goult, S and Clewley, D 2018 The Simple Concurrent Online Processing System (SCOPS) - An open-source interface for remotely sensed data processing. Computers and Geosciences. https://doi.org/10.1016/j.cageo.2018.03.013

Warren, MA, Taylor, BH, Grant, MG and Shutler, JD 2014 Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment. Computers & Geosciences, 64. 24-34. https://doi.org/10.1016/j.cageo.2013.11.006

de Jesus, JS, Walker, P, Grant, MG and Groom, SB 2012 WPS orchestration using the Taverna workbench: The eScience approach. Computers & Geosciences, 47. 75 - 86. https://doi.org/10.1016/j.cageo.2011.11.011

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Allen, JI 1997 The importance of high frequency data in ecological modelling.. In: 1st International Conference on EuroGOOS - Operational Oceanography: The Challenge for European Co-Operation, THE HAGUE, NETHERLANDS, OCT 07-11, 1996. ELSEVIER OCEANOGRAPHY SERIES, 499 - 506.

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Cazenave, PW and Torres, R 2016 Fine-Scale Modelling Applications - Aquaculture, Marine Renewable Energy and Marine Litter. [Speech] In: Plymouth City Council Tamar Modelling. Plymouth City Council. (Unpublished)

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Cazenave, PW and Torres, R 2016 Fine-Scale Modelling Applications - Aquaculture, Marine Renewable Energy and Marine Litter. [Lecture] In: UK FVCOM Workshop, National Oceanography Centre, Liverpool. National Oceanography Centre, Liverpool. (Unpublished)

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Cazenave, PW, Torres, R and Clark, JR 2016 Fine-Scale Modelling Applications - Aquaculture, Marine Renewable Energy and Marine Litter. [Lecture] In: BMT Group. Plymouth Marine Laboratory. (Unpublished)

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Cazenave, Pierre W 2017 Modelling at PML. [Lecture] In: POGO-18. Plymouth Marine Laboratory, Partnership for Observations of the Global Oceans.

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