Literatura académica sobre el tema "Predictive modelling"
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Artículos de revistas sobre el tema "Predictive modelling"
Riemann, Hans P. y K. R. Davey. "Predictive modelling". Letters in Applied Microbiology 14, n.º 4 (abril de 1992): 127–28. http://dx.doi.org/10.1111/j.1472-765x.1992.tb00666.x.
Texto completoFarkas, J. "Predictive modelling". International Journal of Food Microbiology 23, n.º 3-4 (noviembre de 1994): v. http://dx.doi.org/10.1016/0168-1605(94)90154-6.
Texto completoSavage, Neil. "Modelling: Predictive yield". Nature 501, n.º 7468 (septiembre de 2013): S10—S11. http://dx.doi.org/10.1038/501s10a.
Texto completoVora, Deepali y Kamatchi Iyer. "Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling". International Journal of Engineering & Technology 7, n.º 3.4 (25 de junio de 2018): 197. http://dx.doi.org/10.14419/ijet.v7i3.4.16773.
Texto completoLehman, John T., Lars Hakanson y Robert H. Peters. "Predictive Limnology: Methods for Predictive Modelling." Ecology 78, n.º 1 (enero de 1997): 326. http://dx.doi.org/10.2307/2266003.
Texto completoOden, J. Tinsley. "Adaptive multiscale predictive modelling". Acta Numerica 27 (1 de mayo de 2018): 353–450. http://dx.doi.org/10.1017/s096249291800003x.
Texto completoPeppler-Lisbach, Cord. "Predictive modelling of historical and recent land-use patterns". Phytocoenologia 33, n.º 4 (19 de noviembre de 2003): 565–90. http://dx.doi.org/10.1127/0340-269x/2003/0033-0565.
Texto completoRossiter, J. A. y B. Kouvaritakis. "Modelling and implicit modelling for predictive control". International Journal of Control 74, n.º 11 (enero de 2001): 1085–95. http://dx.doi.org/10.1080/00207170110054129.
Texto completoKAWAI, Kimio, Anthony BEAUCAMP, Noriyuki IMAIZUMI, Masatoshi SAKURAI y Yoshimi TAKEUCHI. "1902 Modelling of Drill Shapes by a Novel Predictive System". Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _1902–1_—_1902–4_. http://dx.doi.org/10.1299/jsmelem.2015.8._1902-1_.
Texto completoMa, Jungmok. "Data driven TRL Transition Predictions for Early Technology Development in Defence". Defence Science Journal 71, n.º 6 (22 de octubre de 2021): 777–83. http://dx.doi.org/10.14429/dsj.71.16771.
Texto completoTesis sobre el tema "Predictive modelling"
Welfoot, J. St J. "Predictive modelling of membrane nanofiltration". Thesis, Swansea University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639377.
Texto completoKampakis, S. "Predictive modelling of football injuries". Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1508067/.
Texto completoDavis, Luke M. "Predictive modelling of bone ageing". Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/45085/.
Texto completoKalathenos, Panayiotis. "Predictive modelling of wine spoilage microorganisms". Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260584.
Texto completoKougoulos, Eleftherios. "Predictive modelling of organic crystallization processes". Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445645/.
Texto completoValvatne, Per Henrik. "Predictive pore-scale modelling of multiphase flow". Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405885.
Texto completoRobertson, Mark Peter. "Predictive modelling of species' potential geographical distributions". Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.
Texto completoLindström, Martin. "Predictive Modelling of Heavy Metals in Urban Lakes". Doctoral thesis, Uppsala University, Department of Earth Sciences, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-530.
Texto completoHeavy metals are well-known environmental pollutants. In this thesis predictive models for heavy metals in urban lakes are discussed and new models presented. The base of predictive modelling is empirical data from field investigations of many ecosystems covering a wide range of ecosystem characteristics. Predictive models focus on the variabilities among lakes and processes controlling the major metal fluxes.
Sediment and water data for this study were collected from ten small lakes in the Stockholm area, the Eastern parts of Lake Mälaren, the innermost areas of the Stockholm archipelago and from literature studies. By correlating calculated metal loads to the land use of the catchment areas (describing urban and natural land use), the influences of the local urban status on the metal load could be evaluated. Copper was most influenced by the urban status and less by the regional background. The opposite pattern was shown for cadmium, nickel and zinc (and mercury). Lead and chromium were in-between these groups.
It was shown that the metal load from the City of Stockholm is considerable. There is a 5-fold increase in sediment deposition of cadmium, copper, mercury and lead in the central areas of Stockholm compared to surrounding areas.
The results also include a model for the lake characteristic concentration of suspended particulate matter (SPM), and new methods for empirical model testing. The results indicate that the traditional distribution (or partition) coefficient Kd (L kg-1) is unsuitable to use in modelling of the particle association of metals. Instead the particulate fraction, PF (-), defined as the ratio of the particulate associated concentration to the total concentration, is recommended. Kd is affected by spurious correlations due to the definition of Kd as a ratio including SPM and also secondary spurious correlations with many variables correlated to SPM. It was also shown that Kd has a larger inherent within-system variability than PF. This is important in modelling.
Lindström, Martin. "Predictive modelling of heavy metals in urban lakes /". Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2000. http://publications.uu.se/theses/91-554-4854-2/.
Texto completoYeh, Der-Ming. "Manipulation and predictive modelling of flowering in cineraria". Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309594.
Texto completoLibros sobre el tema "Predictive modelling"
Håkanson, Lars. Predictive limnology: Methods for predictive modelling. Amsterdam: SPB Academic, 1995.
Buscar texto completoVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Buscar texto completoVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Buscar texto completoRoy, Sudipta, Lalit Mohan Goyal y Mamta Mittal, eds. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0538-3.
Texto completoCamacho, E. F. Model predictive control. 2a ed. New York: Springer, 2004.
Buscar texto completoWescott, K. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. London: CRC Press, 1999.
Buscar texto completo1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.
Buscar texto completoCamacho, E. F. Model predictive control. London: Springer, 2003.
Buscar texto completoHenryk, Maciejewski. Predictive modelling in high-dimensional data: Prior domain knowledge-based approaches. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.
Buscar texto completoMora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga y Jean-Bernard Minster, eds. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-7695-7.
Texto completoCapítulos de libros sobre el tema "Predictive modelling"
Dawson, Catherine. "Predictive modelling". En A–Z of Digital Research Methods, 301–6. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-46.
Texto completoGonzales-Barron, Ursula Andrea. "Predictive Microbial Modelling". En Handbook of Food Safety Engineering, 108–52. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444355321.ch6.
Texto completovan Kuijk, Sander M. J., Frank J. W. M. Dankers, Alberto Traverso y Leonard Wee. "Preparing Data for Predictive Modelling". En Fundamentals of Clinical Data Science, 75–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_6.
Texto completoTolovski, Ilin, Sašo Džeroski y Panče Panov. "Semantic Annotation of Predictive Modelling Experiments". En Discovery Science, 124–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_9.
Texto completoWu, Wen y Athula Herath. "Chemometrics and Predictive Modelling". En Nonclinical Statistics for Pharmaceutical and Biotechnology Industries, 653–73. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23558-5_25.
Texto completoCollins, Frank y Frédéric Blin. "Predictive modelling of ageing". En Ageing of Infrastructure, 61–74. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2018]: CRC Press, 2018. http://dx.doi.org/10.1201/9780429455704-5.
Texto completoWest, Catharine ML. "3 Radiotherapy predictive assays". En Radiobiological Modelling in Radiation Oncology, 35–50. 48–50 St John Street, London EC1M 4DG, UK: The British Institute of Radiology, 2007. http://dx.doi.org/10.1259/9780905749839.chapter03.
Texto completoGhatak, Rahul. "Operational Analytics and Predictive Modelling". En Management for Professionals, 13–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3873-3_2.
Texto completoMoss, Gary P., Darren R. Gullick y Simon C. Wilkinson. "Other Approaches to Modelling Percutaneous Absorption". En Predictive Methods in Percutaneous Absorption, 103–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47371-9_6.
Texto completoCui, Sunan, Randall K. Ten Haken y Issam El Naqa. "Building a Predictive Model of Toxicity". En Modelling Radiotherapy Side Effects, 23–51. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2019] |: CRC Press, 2019. http://dx.doi.org/10.1201/b21956-2.
Texto completoActas de conferencias sobre el tema "Predictive modelling"
Levin, Stanislav y Amiram Yehudai. "Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127016.
Texto completoNoor, Tanzeem Bin y Hadi Hemmati. "Studying Test Case Failure Prediction for Test Case Prioritization". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127006.
Texto completoMinku, Leandro L. y Siqing Hou. "Clustering Dycom". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127007.
Texto completoCoppola, Riccardo, Maurizio Morisio y Marco Torchiano. "Scripted GUI Testing of Android Apps". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127008.
Texto completoBusinge, John, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh y Evarist Nabaasa. "Code Authorship and Fault-proneness of Open-Source Android Applications". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127009.
Texto completoMitra, Joydeep y Venkatesh-Prasad Ranganath. "Ghera". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127010.
Texto completoAl-Zubaidi, Wisam Haitham Abbood, Hoa Khanh Dam, Aditya Ghose y Xiaodong Li. "Multi-objective search-based approach to estimate issue resolution time". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127011.
Texto completoAlelyani, Turki, Ke Mao y Ye Yang. "Context-Centric Pricing". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127012.
Texto completoValdivia-Garcia, Harold y Meiyappan Nagappan. "The Characteristics of False-Negatives in File-level Fault Prediction". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127013.
Texto completoThompson, Christopher y David Wagner. "A Large-Scale Study of Modern Code Review and Security in Open Source Projects". En PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127014.
Texto completoInformes sobre el tema "Predictive modelling"
Chatwani, A. Predictive modelling of boiler fouling. Final report. Office of Scientific and Technical Information (OSTI), diciembre de 1990. http://dx.doi.org/10.2172/233295.
Texto completoRegis, D. Predictive thermodynamic modelling of IOCG alteration facies at high-grade metamorphic conditions. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329172.
Texto completoSinclair, J. L. Predictive modelling of particle-laden, turbulent flows. Quarterly progress report No. 2, January 1, 1993--March 31, 1993. Office of Scientific and Technical Information (OSTI), julio de 1993. http://dx.doi.org/10.2172/10167383.
Texto completoPerdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, septiembre de 2021. http://dx.doi.org/10.46337/210930.
Texto completoSavosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko y T. Lykholat. Predictive model of heavy metals inputs to soil at Kryvyi Rih District and its use in the training for specialists in the field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4511.
Texto completoСавосько, Василь Миколайович, Ірина Олександрівна Комарова, Юрій Васильович Лихолат, Едуард Олексійович Євтушенко, y Тетяна Юріївна Лихолат. Predictive Model of Heavy Metals Inputs to Soil at Kryvyi Rih District and its Use in the Training for Specialists in the Field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4266.
Texto completode Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
Texto completoRahman, Kazi, Grace Lee, Kristina Vine, Amba-Rose Atkinson, Michael Tong y Veronica Matthews. Impacts of climate change on health and health services in northern New South Wales: an Evidence Check rapid review. The Sax Institute, diciembre de 2022. http://dx.doi.org/10.57022/xlsj7564.
Texto completoHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton y Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1999. http://dx.doi.org/10.21236/ada630166.
Texto completoHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton y Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1997. http://dx.doi.org/10.21236/ada634918.
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