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Scale problems in assessment of hydrogeological parameters of groundwater flow models

, M., 1999. Scale problem in hydrogeology. Bulletin of Polish Geological Institute 388, 179-190. Peszyńska, M. & Trykozko, A., 2013. Pore-to-core simulations of flow with large velocities using continuum models and imaging data. Computational Geoscience 17, 623–645. Trykozko, A., 2007. Computational aspects of up-scaling in heterogeneous porous media. Workshop: Modeling, Analysis and Simulation of Multiscale Nonlinear Systems , Oregon State University, USA. Trykozko, A., 2010. Downscaling: fine-scale conductivity identification by inverse

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Remarks On The Sources Of Error In The Modelling Of Lunar Geotechnical Structures

1 Introduction: How To Model Lunar Structures In A Lab? The construction of physical scale models becomes a very useful strategy for the design of civil structures on the Moon, such as habitat for crew and roads for rovers. The size of these models must be scaled in order to take into account the different gravity levels. Since the lunar gravity acceleration is about one-sixth of the terrestrial one, it follows that the physical models on Earth will be very smaller than the prototype to be realized on Moon. Further reduction of the model sizes can be

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Using 3D Modelling Techniques for Surveys in Two Dimensional Scale Model Tests of Breakwaters

REFERENCES Broderick, L.- Ahrens, J.P. (1982). Rip-rap stability scale effects. Technical Paper 82-3, U.S. Army Engineer Waterways Experiment Station, Coastal Engineering Research Center, Vicksburg, MS. Castaneda, V.- Navab, N. (2011). Time-of-Flight and Kinect Imaging, lecture online , Munich Technical University. http://campar.in.tum.de/twiki/pub/Chair/TeachingSs11Kinect/2011-DSensors_LabCourse_Kinect.pdf Castro, D.H. (2015). From images to point clouds practical considerations for three-dimensional computer vision. Academic

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Scalable Reordering Models for SMT based on Multiclass SVM

References Al-Onaizan, Yaser and Kishore Papineni. Distortion models for statistical machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 529-536, Sydney, Australia, July 2006. Association for Computational Linguistics. URL http://www.aclweb.org/ anthology/P/P06/P06-1067. Alrajeh, Abdullah and Mahesan Niranjan. Large-scale reordering model for statistical machine translation using dual multinomial

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Application Of Rating Scale Model In Conversion Of Rating Scales' Points To The Form Of Triangular Fuzzy Numbers

References Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika , 43, 561–573. DOI: 10.1007/BF02293814. Bojadziev, M. & Bojadziev, G. (1995). Fuzzy Sets, Fuzzy Logic, Applications . Singapore: World Scientific Publishing. Carrasco, R.A., Munoz-Leiva, F., Sánchez-Fernández, J. & Liébana-Cabanillas, F.J. (2012). A model for the integration of e-financial services questionnaires with SERVQUAL scales under fuzzy linguistic modeling. Expert Systems with Applications , 39, 1535–1547. DOI: 10.1016/j.eswa.2012

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A gradient analytic perspective on distribution modelling

models for climate change studies: variable selection and scale. – J. Biogeogr. 38: 1-8. Austin, M.P. & van Niel, K.P. 2011b. Impact of landscape predictors on climate change modelling of species distributions: a case study with Eucalyptus fastigata in southern New South Wales, Australia. – J. Biogeogr. 38: 9-19. Baadsvik, K. 1974. Phytosociological and ecological investigations in an alpine area at Lake Kamtjern, Trollheimen Mts, Central Norway. – K. norske Vidensk. Selsk. Skr. 1974: 5: 1

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Safety Risk Management In Large Scale Engineering Based On Model Predictive Control

-Rayes, Khaled. Fast and Accurate Risk Evaluation for Scheduling Large-Scale Construction Projects. - Journal of Computing in Civil Engineering, Vol. 25, 2011, No 5, 407-417. 7. Jianfeng, Qiao. Resource Allocation of Large Scale Engineering Based on Optimal Control Theory. - International Journal of Control & Automation, Vol. 7, 2014, No 1, 199-214. 8. Brdys, Mietek A., Vu Nam Tran, Wojtek Kurek. Safety Zones Based Robustly Feasible Model Predictive Control for Nonlinear Network Systems. - In: Proc. of International Federation of Automatic

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Challenges in modelling of water quantity and quality in two contrasting meso-scale catchments in Poland

REFERENCES A bbaspour K. 2015. SWAT-CUP2: SWAT Calibration and Uncertainty Programs – a user manual. Duebendorf, Switzerland. Eawag: Swiss Federal Institute of Aquatic Science and Technology pp. 95. A bbaspour K.C., R ouholahnejad E., V aghefi S., S rinivasan R., Y ang H., K løve B.A. 2015. Continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model. Journal of Hydrology. Vol. 524 p. 733–752. A l -D ousari A., M ilewski A., D in S.U., A hmed M. 2010. Remote

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A calibration-free evapotranspiration mapping technique for spatially-distributed regional-scale hydrologic modeling

References ALLEN R.G., TASUMI M., TREZZA R., 2007: Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model. J. Irrig. Drainage Engng., 133 , 4, 380-394. BALDOCCHI D.D., 2003: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Global Change Biol., 9, 1-14. BARCZA Z., KERN A., HASZPRA L., KLJUN N., 2009: Spatial representativeness of tall tower eddy covariance

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Land use and land cover changes simulated with agent-based modelling for water conservation at catchment scale

’s talk objects: generic methodology for urban high-resolution simulation, Comput. Environ. Urban Syst. 29(4): 425-453. Beven K., 2002, Towards a coherent philosophy for modelling the environment, Proc. R. Soc. Lond. A 458: 2465-2484. Bossa A.Y., Diekkrüger B., Agbossou E.K., 2014, Scenariobased impacts of land use and climate change on land and water degradation from the meso to regional scale, Water 6(10): 3152-3181. Brown D.G., Riolo R., Robinson D.T., North M., Rand W., 2005, Spatial process and data models: Toward

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