Search results

Noori, H. R.: on "When too much usage is too much: exploring the process of IT addiction". ACM Computing Reviews 2014, CR142230 (2014)

Noori, H.: on "Analysis of friendship network and its role in explaining obesity". ACM Computing Reviews 2013 (2013)

Noori, H.: on "Data-intensive Science". ACM Computing Reviews 2013 (2013)

Noori, H.: on "Understanding molecular simulations". ACM Computing Reviews 2013 (2013)

Noori, H.: on "Understanding Molecular Simulation". ACM Computing Reviews 2012 (2012)

Bülthoff, H.; Chuang, L.: Seeing: The Computational Approach to Biological Vision. Second Edition. By John P. Frisby and James V. Stone. Cambridge (Massachusetts): MIT Press. $55.00 (paper). xiv + 562 p.; ill.; index. ISBN: 978-0-262-51427-9. 2010. The Quarterly Review of Biology 86 (3), p. 227 (2011)

Noori, H.: on "Computational nanosciences: applications for molecules, clusters, and solids". ACM Computing Reviews (2011)

Noori, H.: on "Deriving a digraph isomorphism for digraph compliance measurement". ACM Computing Reviews (2011)

Noori, H.: on "Dynamic local remeshing for elastoplastic simulation". ACM Computing Reviews (2011)

Noori, H.: on "Fast multidimension multichoice knapsack heuristic for MP-SoC runtime management". ACM Computing Reviews (2011)

Noori, H.: on "Model composition for macromolecular regulatory networks". ACM Computing Reviews (2011)

Noori, H.: on "Nonclassical mathematical model in geoinformatics to solve dynamic problems for nonequilibrium nonisothermal seepage fields". ACM Computing Reviews (2011)

Noori, H.: on "Numerical relativity: solving Einstein’s equations on the computer". ACM Computing Reviews (2011)

Noori, H.: on "Permutation patterns". ACM Computing Reviews (2011)

Peters, J.: Computational Intelligence: Principles, Techniques and Applications by Amit Konar. The Computer Journal 50 (6), p. 758 (2007)

Wehrhahn, C.: Neural Darwinism: The Theory of Neuronal Group Selection by Gerald M. Edelman. American Scientist 77 (6), pp. 582 - 583 (1989)

Zaiss, M.; Glang, F.; Prokudin, S.; Scheffler, K.: Machine learning based processing of magnetic resonance data, including an uncertainty quantification. US 2022/0179026 A1 (2022)

Zaiss, M.; Deshmane, A.; Scheffler, K.: Method And Apparatus For Processing Magnetic Resonance Data. (accepted)

Totah, N.; Vasilev, D.; Boldt, J.: Liquid Supply Device for Animals. EP3375280 (2018)

Yu, X.; Jiang, Y.; Russel, P.; Frosz, M.; Schlüsener, J.: In vivo imaging device with fiber optic. EP3375367 (2018)