Academic literature on the topic 'Predictive modelling'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Predictive modelling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Predictive modelling"
Riemann, Hans P., and K. R. Davey. "Predictive modelling." Letters in Applied Microbiology 14, no. 4 (April 1992): 127–28. http://dx.doi.org/10.1111/j.1472-765x.1992.tb00666.x.
Full textFarkas, J. "Predictive modelling." International Journal of Food Microbiology 23, no. 3-4 (November 1994): v. http://dx.doi.org/10.1016/0168-1605(94)90154-6.
Full textSavage, Neil. "Modelling: Predictive yield." Nature 501, no. 7468 (September 2013): S10—S11. http://dx.doi.org/10.1038/501s10a.
Full textVora, Deepali, and Kamatchi Iyer. "Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling." International Journal of Engineering & Technology 7, no. 3.4 (June 25, 2018): 197. http://dx.doi.org/10.14419/ijet.v7i3.4.16773.
Full textLehman, John T., Lars Hakanson, and Robert H. Peters. "Predictive Limnology: Methods for Predictive Modelling." Ecology 78, no. 1 (January 1997): 326. http://dx.doi.org/10.2307/2266003.
Full textOden, J. Tinsley. "Adaptive multiscale predictive modelling." Acta Numerica 27 (May 1, 2018): 353–450. http://dx.doi.org/10.1017/s096249291800003x.
Full textPeppler-Lisbach, Cord. "Predictive modelling of historical and recent land-use patterns." Phytocoenologia 33, no. 4 (November 19, 2003): 565–90. http://dx.doi.org/10.1127/0340-269x/2003/0033-0565.
Full textRossiter, J. A., and B. Kouvaritakis. "Modelling and implicit modelling for predictive control." International Journal of Control 74, no. 11 (January 2001): 1085–95. http://dx.doi.org/10.1080/00207170110054129.
Full textKAWAI, Kimio, Anthony BEAUCAMP, Noriyuki IMAIZUMI, Masatoshi SAKURAI, and 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_.
Full textMa, Jungmok. "Data driven TRL Transition Predictions for Early Technology Development in Defence." Defence Science Journal 71, no. 6 (October 22, 2021): 777–83. http://dx.doi.org/10.14429/dsj.71.16771.
Full textDissertations / Theses on the topic "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.
Full textKampakis, S. "Predictive modelling of football injuries." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1508067/.
Full textDavis, Luke M. "Predictive modelling of bone ageing." Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/45085/.
Full textKalathenos, Panayiotis. "Predictive modelling of wine spoilage microorganisms." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260584.
Full textKougoulos, Eleftherios. "Predictive modelling of organic crystallization processes." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445645/.
Full textValvatne, 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.
Full textRobertson, Mark Peter. "Predictive modelling of species' potential geographical distributions." Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.
Full textLindström, 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.
Full textHeavy 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/.
Full textYeh, 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.
Full textBooks on the topic "Predictive modelling"
Håkanson, Lars. Predictive limnology: Methods for predictive modelling. Amsterdam: SPB Academic, 1995.
Find full textVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Find full textVerhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.
Find full textRoy, Sudipta, Lalit Mohan Goyal, and 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.
Full textCamacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.
Find full textWescott, K. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. London: CRC Press, 1999.
Find full text1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.
Find full textCamacho, E. F. Model predictive control. London: Springer, 2003.
Find full textHenryk, Maciejewski. Predictive modelling in high-dimensional data: Prior domain knowledge-based approaches. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.
Find full textMora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga, and 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.
Full textBook chapters on the topic "Predictive modelling"
Dawson, Catherine. "Predictive modelling." In 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.
Full textGonzales-Barron, Ursula Andrea. "Predictive Microbial Modelling." In Handbook of Food Safety Engineering, 108–52. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444355321.ch6.
Full textvan Kuijk, Sander M. J., Frank J. W. M. Dankers, Alberto Traverso, and Leonard Wee. "Preparing Data for Predictive Modelling." In Fundamentals of Clinical Data Science, 75–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_6.
Full textTolovski, Ilin, Sašo Džeroski, and Panče Panov. "Semantic Annotation of Predictive Modelling Experiments." In Discovery Science, 124–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_9.
Full textWu, Wen, and Athula Herath. "Chemometrics and Predictive Modelling." In 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.
Full textCollins, Frank, and Frédéric Blin. "Predictive modelling of ageing." In 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.
Full textWest, Catharine ML. "3 Radiotherapy predictive assays." In 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.
Full textGhatak, Rahul. "Operational Analytics and Predictive Modelling." In Management for Professionals, 13–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3873-3_2.
Full textMoss, Gary P., Darren R. Gullick, and Simon C. Wilkinson. "Other Approaches to Modelling Percutaneous Absorption." In 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.
Full textCui, Sunan, Randall K. Ten Haken, and Issam El Naqa. "Building a Predictive Model of Toxicity." In 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.
Full textConference papers on the topic "Predictive modelling"
Levin, Stanislav, and Amiram Yehudai. "Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127016.
Full textNoor, Tanzeem Bin, and Hadi Hemmati. "Studying Test Case Failure Prediction for Test Case Prioritization." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127006.
Full textMinku, Leandro L., and Siqing Hou. "Clustering Dycom." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127007.
Full textCoppola, Riccardo, Maurizio Morisio, and Marco Torchiano. "Scripted GUI Testing of Android Apps." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127008.
Full textBusinge, John, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, and Evarist Nabaasa. "Code Authorship and Fault-proneness of Open-Source Android Applications." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127009.
Full textMitra, Joydeep, and Venkatesh-Prasad Ranganath. "Ghera." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127010.
Full textAl-Zubaidi, Wisam Haitham Abbood, Hoa Khanh Dam, Aditya Ghose, and Xiaodong Li. "Multi-objective search-based approach to estimate issue resolution time." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127011.
Full textAlelyani, Turki, Ke Mao, and Ye Yang. "Context-Centric Pricing." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127012.
Full textValdivia-Garcia, Harold, and Meiyappan Nagappan. "The Characteristics of False-Negatives in File-level Fault Prediction." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127013.
Full textThompson, Christopher, and David Wagner. "A Large-Scale Study of Modern Code Review and Security in Open Source Projects." In PROMISE: Predictive Modelling in Software Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127005.3127014.
Full textReports on the topic "Predictive modelling"
Chatwani, A. Predictive modelling of boiler fouling. Final report. Office of Scientific and Technical Information (OSTI), December 1990. http://dx.doi.org/10.2172/233295.
Full textRegis, 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.
Full textSinclair, 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), July 1993. http://dx.doi.org/10.2172/10167383.
Full textPerdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.
Full textSavosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko, and 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.
Full textСавосько, Василь Миколайович, Ірина Олександрівна Комарова, Юрій Васильович Лихолат, Едуард Олексійович Євтушенко,, and 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.
Full textde 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.
Full textRahman, Kazi, Grace Lee, Kristina Vine, Amba-Rose Atkinson, Michael Tong, and Veronica Matthews. Impacts of climate change on health and health services in northern New South Wales: an Evidence Check rapid review. The Sax Institute, December 2022. http://dx.doi.org/10.57022/xlsj7564.
Full textHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton, and Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630166.
Full textHuntley, David, Rob Holman, Huib de Vriend, Tony Bowen, Rolf Deigaard, Ed Thornton, and Richard Soulsby. Intermediate Scale Coastal Behaviour: Measurement, Modelling and Prediction. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634918.
Full text