Books on the topic 'Predictive modelling'

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1

Håkanson, Lars. Predictive limnology: Methods for predictive modelling. Amsterdam: SPB Academic, 1995.

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2

Verhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.

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3

Verhagen, Philip. Case studies in archaeological predictive modelling [sic. [Leiden]: Leiden University Press, 2007.

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4

Roy, 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.

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5

Camacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.

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6

Wescott, K. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. London: CRC Press, 1999.

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7

1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.

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8

Camacho, E. F. Model predictive control. London: Springer, 2003.

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9

Henryk, Maciejewski. Predictive modelling in high-dimensional data: Prior domain knowledge-based approaches. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.

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10

Mora, 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.

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11

Weihed, Pär, ed. 3D, 4D and Predictive Modelling of Major Mineral Belts in Europe. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17428-0.

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12

(Firm), Knovel, ed. Case studies in novel food processing technologies: Innovations in processing, packaging and predictive modelling. Oxford: Woodhead Publishing, 2010.

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13

P. O. A. L. Davies. Predictive acoustic modelling applied to the control of intake/exhaust noise of internal combustion engines. Southampton: University of Southampton, Institute of Sound and Vibration Research, 1996.

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14

Huang, Biao. Dynamic modelling and predictive control in solid oxide fuel cells: First principle and data-based approaches. Hoboken: John Wiley & Sons Inc., 2013.

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15

Huang, Biao, Yutong Qi, and AKM Monjur Murshed. Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells: First Principle and Data-Based Approaches. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118501054.

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16

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.
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17

Gongbing, Peng, Leslie Lance M. 1945-, and Shao Yaping, eds. Environmental modelling and prediction. Berlin: Springer, 2002.

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18

Peng, Gongbing, Lance M. Leslie, and Yaping Shao, eds. Environmental Modelling and Prediction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04868-9.

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19

Chen, X. Modelling and predicting textile behaviour. Cambridge: Woodhead Publishing, 2010.

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20

Orlić, Bogdan. Predicting subsurface conditions for geotechnical modelling. Delft: International Institute for Aerospace Survey and Earth Sciences, 1997.

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21

National Symposium on Hydrology (India) (11th 2004 Roorkee, India). Water quality: Monitoring, modelling, and prediction. Edited by Jain C. K, Trivedi R. C, Sharma K. D, National Institute of Hydrology (India), and India. Central Pollution Control Board. New Delhi: Allied Publishers, 2004.

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22

Lee, Jack C., Wesley O. Johnson, and Arnold Zellner, eds. Modelling and Prediction Honoring Seymour Geisser. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2414-3.

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23

Wrobel, L. C., and C. A. Brebbia, eds. Water Pollution: Modelling, Measuring and Prediction. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3694-5.

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24

K. Halgamuge, Saman, and Lipo Wang, eds. Computational Intelligence for Modelling and Prediction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b93960.

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25

A, Brebbia C., Almorza Gomar David, and Sales D, eds. Water pollution VII: Modelling, measuring and prediction. Southampton, UK: WIT Press, 2003.

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26

Pegram, Alison. Modelling and prediction of antenna-mast interactions. Manchester: UMIST, 1996.

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27

Predictive Limnology: Methods for Predictive Modelling. Balogh Scientific Books, 1995.

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28

Li, Jin. Spatial Predictive Modelling with R. Taylor & Francis Group, 2022.

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29

Li, Jin. Spatial Predictive Modelling with R. Taylor & Francis Group, 2022.

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30

Spatial Predictive Modelling with R. Taylor & Francis Group, 2022.

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31

Li, Jin. Spatial Predictive Modelling with R. Taylor & Francis Group, 2022.

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32

Personalized Predictive Modelling in Type1 Diabetes. Elsevier Science & Technology Books, 2017.

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33

Verhagen, Philip. Case Studies in Archaeological Predictive Modelling. Amsterdam University Press, 2010.

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34

Verhagen, Philip. Case Studies in Archaeological Predictive Modelling. Amsterdam University Press, 2007.

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35

Verhagen, Philip. Case Studies in Archaeological Predictive Modelling. Amsterdam University Press, 2007.

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36

Davis, Glyn, and Branko Pecar. Time Series Based Predictive Analytics Modelling. Primedia eLaunch LLC, 2016.

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37

Hemez, François, and Sez Atamturktur. Predictive Modelling: Verification, Validation and Uncertainty Quantification. Wiley & Sons, Limited, John, 2018.

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38

Verhagen, Philip. Case Studies in Archaeological Predictive Modelling [Sic. Amsterdam University Press, 2007.

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39

Balas, Valentina Emilia, Basant Agarwal, Mamta Mittal, Lalit Mohan Goyal, and Sudipta Roy. Predictive Modelling in Biomedical Data Mining and Analysis. Elsevier Science & Technology Books, 2022.

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40

Mittal, Mamta, Lalit Mohan Goyal, and Sudipta Roy. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Springer, 2022.

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41

Mittal, Mamta, Lalit Mohan Goyal, and Sudipta Roy. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Springer Singapore Pte. Limited, 2021.

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42

(Editor), C. Soutis, and P.W.R. Beaumont (Editor), eds. Multi-scale Modelling of Composite Material Systems: The Art of Predictive Damage Modelling. CRC, 2005.

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43

Samui, Pijush, Sanjiban Sekhar Roy, and Ravinesh Deo. Predictive Modelling for Energy Management and Power Systems Engineering. Elsevier, 2020.

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44

Predictive Modelling for Energy Management and Power Systems Engineering. Elsevier, 2021. http://dx.doi.org/10.1016/c2018-0-02654-7.

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45

Samui, Pijush, Sanjiban Sekhar Roy, and Ravinesh C. Deo. Predictive Modelling for Energy Management and Power Systems Engineering. Elsevier, 2020.

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46

Kumar, Ashish. Learning Predictive Analytics with Python: Gain Practical Insights into Predictive Modelling by Implementing Predictive Analytics Algorithms on Public Datasets with Python. Packt Publishing, Limited, 2016.

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47

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python. Packt Publishing, 2016.

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48

Wescott, Konnie L., and R. Joe Brandon. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. Taylor & Francis Group, 1999.

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49

Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. Taylor & Francis Group, 2017.

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50

Wescott, Konnie L., and R. Joe Brandon. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit. Taylor & Francis Group, 1999.

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