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Relevant bibliographies by topics / Computationat modelling / Books

Books on the topic 'Computationat modelling'

To see the other types of publications on this topic, follow the link: Computationat modelling.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bailey, Chris. Computational modelling. Edited by ebrary Inc. Bradford, England: Emerald Group Publishing, 2002.

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2

Gengnagel, Christoph, Axel Kilian, Norbert Palz, and Fabian Scheurer, eds. Computational Design Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23435-4.

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3

Billari, Francesco C., Thomas Fent, Alexia Prskawetz, and Jürgen Scheffran, eds. Agent-Based Computational Modelling. Heidelberg: Physica-Verlag HD, 2006. http://dx.doi.org/10.1007/3-7908-1721-x.

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4

de, Borst René, Mang Herbert, and Meschke Günther, eds. Computational Modelling of Concrete Structures. Abingdon: CRC Press [Imprint], 2010.

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5

Rashad, M. A. A. Computational modelling of gravity settlers. Manchester: UMIST, 1995.

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6

Ali, Irfan, Prasenjit Chatterjee, Ali Akbar Shaikh, Neha Gupta, and Ali AlArjani, eds. Computational Modelling in Industry 4.0. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7723-6.

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7

Giugliano, Michele, Mario Negrello, and Daniele Linaro, eds. Computational Modelling of the Brain. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89439-9.

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8

Giugliano, Michele, Mario Negrello, and Daniele Linaro, eds. Computational Modelling of the Brain. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89439-9.

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9

Giugliano, Michele, Mario Negrello, and Daniele Linaro, eds. Computational Modelling of the Brain. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89439-9.

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10

Murín, Justín, Vladimír Kompiš, and Vladimír Kutiš, eds. Computational Modelling and Advanced Simulations. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0317-9.

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11

C, Misra J., ed. Computational mathematics, modelling, and algorithms. New Delhi: Narosa Pub. House, 2003.

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12

Simplicity, complexity, and modelling. Chichester, West Sussex, U.K: Wiley, 2011.

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13

Jung, André. Computational modelling of continuous flow sterilisation. Birmingham: University of Birmingham, 1999.

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14

Emmerich, Heike. Interface and Transport Dynamics: Computational Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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15

Balasubramaniam, P., Kuru Ratnavelu, Grienggrai Rajchakit, and G. Nagamani, eds. Mathematical Modelling and Computational Intelligence Techniques. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6018-4.

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16

Tu, Jiyuan, Kiao Inthavong, and Kelvin Kian Loong Wong. Computational Hemodynamics – Theory, Modelling and Applications. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9594-4.

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17

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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18

Balasubramaniam, P., and R. Uthayakumar, eds. Mathematical Modelling and Scientific Computation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28926-2.

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19

Deppner, Marcus. Design of nanorod-LEDs using computational modelling. Konstanz: Hartung-Gorre Verlag, 2013.

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20

1944-, Howlett P. G., ed. Computational methods for modelling of nonlinear systems. Amsterdam: Elsevier, 2007.

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21

Computational modelling of aircraft and the environment. Chichester, West Sussex, U.K: Wiley, 2009.

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22

N, Boots B., Okabe Atsuyuki 1945-, and Thomas Richard, eds. Modelling geographical systems: Statistical and computational applications. Dordrecht: Kluwer Academic Publishers, 2002.

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23

1963-, Dimov Ivan, ed. Computational and numerical challenges in environmental modelling. Amsterdam: Elsevier, 2006.

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24

Modelling human speech comprehension: A computational approach. Chichester, West Sussex, England: E. Horwood, 1987.

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25

Grammatikopoulos, Panagiotis. Computational Modelling of Nanomaterials. Elsevier, 2020.

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26

Bicanic. Computational Modelling Concrete Stru. Taylor & Francis, 2003.

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27

Nadarajan, R., R. S. Lekshmi, and G. S. S. Krishnan. Computational and Mathematical Modelling. Narosa Publishing House, 2012.

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28

Alexia Prskawetz,Francesco C. Billari,Thomas Fent. Agent-Based Computational Modelling. Springer, 2008.

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29

Borst. Computational Modelling Concrete Stru. Taylor & Francis, 1998.

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30

Computational Modelling of Nanoparticles. Elsevier, 2018. http://dx.doi.org/10.1016/c2016-0-04167-0.

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31

Computational Modelling of Nanomaterials. Elsevier, 2020. http://dx.doi.org/10.1016/c2018-0-03837-2.

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32

Grammatikopoulos, Panagiotis. Computational Modelling of Nanomaterials. Elsevier, 2020.

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33

Bromley, Stefan T., and Scott M. Woodley. Computational Modelling of Nanoparticles. Elsevier, 2018.

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34

Itti, Laurent, and Ali Borji. Computational Models. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.026.

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Abstract:

This chapter reviews recent progress in computational modelling of visual attention. The authors start with early concepts and models, which have emphasized stimulus-driven guidance of attention towards salient objects in the visual world. They then present a taxonomy of the many different approaches which have emerged in recent research efforts. They then turn to the more complex problem of modelling top-down, task- and goal-driven influences on attention. While early top-down models have been more qualitative in nature, the authors describe several recent fully computational approaches that address top-down biasing in space, over features, and towards objects. This chapter finally provides an outlook and describes promising future research directions.

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35

Bergstrom, Jorgen. Polymer Mechanics - Theory & Computational Modelling. Elsevier Science, 2019.

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36

Murín, Justín, Vladimír Kompis, and Vladimír Kutis. Computational Modelling and Advanced Simulations. Springer, 2011.

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37

Gorton, John, Peter Bladon, and Robert B. Hammond. Molecular Modelling: Computational Chemistry Demystified. Royal Society of Chemistry, The, 2019.

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38

Murín, Justín, Vladimír Kompiš, and Vladimír Kutiš. Computational Modelling and Advanced Simulations. Springer, 2013.

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39

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2010.

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40

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René de Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2014.

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41

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2010.

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42

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2010.

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43

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René de Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2014.

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44

Cross, Mark. Computational Modelling of Multiphysics Processes. Taylor & Francis Group, 2011.

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45

Meschke, Gunther, René de Borst, Herbert Mang, and Nenad Bicanic, eds. Computational Modelling of Concrete Structures. CRC Press, 2020. http://dx.doi.org/10.1201/9781003060680.

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46

Bicanic, Nenad, Herbert Mang, Gunther Meschke, and René de Borst, eds. Computational Modelling of Concrete Structures. CRC Press, 2014. http://dx.doi.org/10.1201/b16645.

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47

Gorton, John, Peter Bladon, and Robert B. Hammond. Molecular Modelling: Computational Chemistry Demystified. Royal Society of Chemistry, The, 2011.

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48

Meschke, Günther, Bernhard Pichler, and Jan G. Rots, eds. Computational Modelling of Concrete Structures. CRC Press, 2018. http://dx.doi.org/10.1201/9781315182964.

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49

Bicanic, Nenad, Herbert Mang, Gunther Meschke, and Gunther Meschke, eds. Computational Modelling of Concrete Structures. CRC Press, 2010. http://dx.doi.org/10.1201/b10546.

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50

Meschke, Gunther, Herbert Mang, Nenad Bicanic, and René de Borst. Computational Modelling of Concrete Structures. Taylor & Francis Group, 2014.

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