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Artykuły w czasopismach na temat "Predictive modelling"
Riemann, Hans P., i K. R. Davey. "Predictive modelling". Letters in Applied Microbiology 14, nr 4 (kwiecień 1992): 127–28. http://dx.doi.org/10.1111/j.1472-765x.1992.tb00666.x.
Pełny tekst źródłaFarkas, J. "Predictive modelling". International Journal of Food Microbiology 23, nr 3-4 (listopad 1994): v. http://dx.doi.org/10.1016/0168-1605(94)90154-6.
Pełny tekst źródłaSavage, Neil. "Modelling: Predictive yield". Nature 501, nr 7468 (wrzesień 2013): S10—S11. http://dx.doi.org/10.1038/501s10a.
Pełny tekst źródłaVora, Deepali, i Kamatchi Iyer. "Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling". International Journal of Engineering & Technology 7, nr 3.4 (25.06.2018): 197. http://dx.doi.org/10.14419/ijet.v7i3.4.16773.
Pełny tekst źródłaLehman, John T., Lars Hakanson i Robert H. Peters. "Predictive Limnology: Methods for Predictive Modelling." Ecology 78, nr 1 (styczeń 1997): 326. http://dx.doi.org/10.2307/2266003.
Pełny tekst źródłaOden, J. Tinsley. "Adaptive multiscale predictive modelling". Acta Numerica 27 (1.05.2018): 353–450. http://dx.doi.org/10.1017/s096249291800003x.
Pełny tekst źródłaPeppler-Lisbach, Cord. "Predictive modelling of historical and recent land-use patterns". Phytocoenologia 33, nr 4 (19.11.2003): 565–90. http://dx.doi.org/10.1127/0340-269x/2003/0033-0565.
Pełny tekst źródłaRossiter, J. A., i B. Kouvaritakis. "Modelling and implicit modelling for predictive control". International Journal of Control 74, nr 11 (styczeń 2001): 1085–95. http://dx.doi.org/10.1080/00207170110054129.
Pełny tekst źródłaKAWAI, Kimio, Anthony BEAUCAMP, Noriyuki IMAIZUMI, Masatoshi SAKURAI i 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_.
Pełny tekst źródłaMa, Jungmok. "Data driven TRL Transition Predictions for Early Technology Development in Defence". Defence Science Journal 71, nr 6 (22.10.2021): 777–83. http://dx.doi.org/10.14429/dsj.71.16771.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaKampakis, S. "Predictive modelling of football injuries". Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1508067/.
Pełny tekst źródłaDavis, Luke M. "Predictive modelling of bone ageing". Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/45085/.
Pełny tekst źródłaKalathenos, Panayiotis. "Predictive modelling of wine spoilage microorganisms". Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260584.
Pełny tekst źródłaKougoulos, Eleftherios. "Predictive modelling of organic crystallization processes". Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445645/.
Pełny tekst źródłaValvatne, 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.
Pełny tekst źródłaRobertson, Mark Peter. "Predictive modelling of species' potential geographical distributions". Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.
Pełny tekst źródłaLindström, 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.
Pełny tekst źródłaHeavy 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/.
Pełny tekst źródłaYeh, 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.
Pełny tekst źródłaKsiążki na temat "Predictive modelling"
Håkanson, Lars. Predictive limnology: Methods for predictive modelling. Amsterdam: SPB Academic, 1995.
Znajdź pełny tekst źródłaVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Znajdź pełny tekst źródłaVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Znajdź pełny tekst źródłaRoy, Sudipta, Lalit Mohan Goyal i Mamta Mittal, red. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0538-3.
Pełny tekst źródłaCamacho, E. F. Model predictive control. Wyd. 2. New York: Springer, 2004.
Znajdź pełny tekst źródłaWescott, K. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. London: CRC Press, 1999.
Znajdź pełny tekst źródła1962-, Bordons C., red. Model predictive control. Berlin: Springer, 1999.
Znajdź pełny tekst źródłaCamacho, E. F. Model predictive control. London: Springer, 2003.
Znajdź pełny tekst źródłaHenryk, Maciejewski. Predictive modelling in high-dimensional data: Prior domain knowledge-based approaches. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.
Znajdź pełny tekst źródłaMora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga i Jean-Bernard Minster, red. 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.
Pełny tekst źródłaCzęści książek na temat "Predictive modelling"
Dawson, Catherine. "Predictive modelling". W 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.
Pełny tekst źródłaGonzales-Barron, Ursula Andrea. "Predictive Microbial Modelling". W Handbook of Food Safety Engineering, 108–52. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444355321.ch6.
Pełny tekst źródłavan Kuijk, Sander M. J., Frank J. W. M. Dankers, Alberto Traverso i Leonard Wee. "Preparing Data for Predictive Modelling". W Fundamentals of Clinical Data Science, 75–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_6.
Pełny tekst źródłaTolovski, Ilin, Sašo Džeroski i Panče Panov. "Semantic Annotation of Predictive Modelling Experiments". W Discovery Science, 124–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_9.
Pełny tekst źródłaWu, Wen, i Athula Herath. "Chemometrics and Predictive Modelling". W 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.
Pełny tekst źródłaCollins, Frank, i Frédéric Blin. "Predictive modelling of ageing". W 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.
Pełny tekst źródłaWest, Catharine ML. "3 Radiotherapy predictive assays". W 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.
Pełny tekst źródłaGhatak, Rahul. "Operational Analytics and Predictive Modelling". W Management for Professionals, 13–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3873-3_2.
Pełny tekst źródłaMoss, Gary P., Darren R. Gullick i Simon C. Wilkinson. "Other Approaches to Modelling Percutaneous Absorption". W 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.
Pełny tekst źródłaCui, Sunan, Randall K. Ten Haken i Issam El Naqa. "Building a Predictive Model of Toxicity". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Predictive modelling"
Levin, Stanislav, i Amiram Yehudai. "Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127016.
Pełny tekst źródłaNoor, Tanzeem Bin, i Hadi Hemmati. "Studying Test Case Failure Prediction for Test Case Prioritization". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127006.
Pełny tekst źródłaMinku, Leandro L., i Siqing Hou. "Clustering Dycom". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127007.
Pełny tekst źródłaCoppola, Riccardo, Maurizio Morisio i Marco Torchiano. "Scripted GUI Testing of Android Apps". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127008.
Pełny tekst źródłaBusinge, John, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh i Evarist Nabaasa. "Code Authorship and Fault-proneness of Open-Source Android Applications". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127009.
Pełny tekst źródłaMitra, Joydeep, i Venkatesh-Prasad Ranganath. "Ghera". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127010.
Pełny tekst źródłaAl-Zubaidi, Wisam Haitham Abbood, Hoa Khanh Dam, Aditya Ghose i Xiaodong Li. "Multi-objective search-based approach to estimate issue resolution time". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127011.
Pełny tekst źródłaAlelyani, Turki, Ke Mao i Ye Yang. "Context-Centric Pricing". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127012.
Pełny tekst źródłaValdivia-Garcia, Harold, i Meiyappan Nagappan. "The Characteristics of False-Negatives in File-level Fault Prediction". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127013.
Pełny tekst źródłaThompson, Christopher, i David Wagner. "A Large-Scale Study of Modern Code Review and Security in Open Source Projects". W PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127014.
Pełny tekst źródłaRaporty organizacyjne na temat "Predictive modelling"
Chatwani, A. Predictive modelling of boiler fouling. Final report. Office of Scientific and Technical Information (OSTI), grudzień 1990. http://dx.doi.org/10.2172/233295.
Pełny tekst źródłaRegis, 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.
Pełny tekst źródłaSinclair, 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), lipiec 1993. http://dx.doi.org/10.2172/10167383.
Pełny tekst źródłaPerdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, wrzesień 2021. http://dx.doi.org/10.46337/210930.
Pełny tekst źródłaSavosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko i 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.
Pełny tekst źródłaСавосько, Василь Миколайович, Ірина Олександрівна Комарова, Юрій Васильович Лихолат, Едуард Олексійович Євтушенко, i 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.
Pełny tekst źródłade Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison i in. 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.
Pełny tekst źródłaRahman, Kazi, Grace Lee, Kristina Vine, Amba-Rose Atkinson, Michael Tong i Veronica Matthews. Impacts of climate change on health and health services in northern New South Wales: an Evidence Check rapid review. The Sax Institute, grudzień 2022. http://dx.doi.org/10.57022/xlsj7564.
Pełny tekst źródłaHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton i Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1999. http://dx.doi.org/10.21236/ada630166.
Pełny tekst źródłaHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton i Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1997. http://dx.doi.org/10.21236/ada634918.
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