Search Results

31 - 40 of 84 items :

  • "data visualization" x
Clear All
Analysis of application of distributed multi-node, multi-GPU heterogeneous system for acceleration of image reconstruction in Electrical Capacitance Tomography

Measurement Data Visualization: Developments Towards 3D, proc of 5th World Congress on Industrial Process Tomography, Bergen, Norway, 2006 [15] P. Russek, K.Wiatr, Dedicated architecture for double precision matrix multiplication in supercomputing environment, Proceedings of the 2007 IEEE Workshop on Design and diagnostics of Electronic Circuits and Systems, DDECS, pp. 321-324, 2007 [16] M. Soleimani, Three-dimensional electrical capacitance tomography imaging, Insight, Non- Destructive Testing and Condition Monitoring, vol. 48, no. 10, pp

Open access
Relief visualization techniques using free and open source GIS tools

−479. Doneus M., 2013, Openness as a visualization technique for interpretative mapping of airborne LiDAR derived digital terrain models. “Remote Sensing” Vol. 5, no. 12, pp. 6427−6442. Doneus M., Kühteiber T., 2013, Airborne laser scanning and archaeological interpretation – bringing back the people. In: Opitz R., Cowley D. Interpreting Archaeological Topography: Lasers, 3D Data, Visualisation and Observation . Oxford, UK: Oxbow Books, pp. 32−50. Drachal J., 2017, Combined shading used for small scale photographic maps. “Unbounded Mapping of Mountains

Open access
Data Analytics in CRM Processes: A Literature Review

.02.021 [6] N. R. Mabroukeh and C. I. Ezeife, “A Taxonomy of Sequential Pattern Mining Algorithms,” ACM Computing Surveys, vol. 43, no. 1, pp. 1-41, Nov. 2010. [7] M. Friendly, Milestones in the history of thematic cartography, statistical graphics, and data visualization, 2009 [Online]. Available: [8] M. Aparicio and C. J. Costa, “Data visualization,” Communication Design Quarterly Review, vol. 3, no. 1, pp. 7-11, Jan. 2015. https

Open access
Cloud Service for Numerical Calculations and Visualizations of Photonic Dissipative Systems

of Light via Photon Blockade in Optical Nanocavities. - Phys. Rev., Vol. A81, 2010, 033838. 25. Abhijit, J. Data Visualization with the D3. JS JavaScript library. - Journal of Computing Sciences in Colleges, Vol. 30, 2014, No 2, pp. 139-141. 26. Scott, W. Adding Visualization with JSON. Pro j Query in Oracle Application Express. Apress, 2015, pp. 133-147.

Open access
Territorial Division and Income Affluence – Analysis Using Two-Level Logit Models

of Epidemiology, vol. 161, no. 1, pp. 81-88. Larsen K., Petersen J.H., Budtz-Jorgensen E., Endahl L., 2000, Interpreting parameters in the logistic regression model with random effects , Biometrics, vol. 56, no. 3, pp. 909-914. Lüdecke D., 2018a, Sjmisc: Miscellaneous data management tools , R package version 2.7.0, . Lüdecke D., 2018b, SjPlot: Data visualization for statistics in social science , R package version 2.4.1, . Moineddin R., Matheson F

Open access
Linear Regression Diagnostics in Cluster Samples

References Atkinson, A.C., and M. Riani. 2000. Robust Diagnostic Regression Analysis. New York: Springer-Verlag. Atkinson, A.C., and M. Riani. 2004. “The Forward Search and Data Visualization.” Computational Statistics 19: 29-54. Bates, D., M. Maechler, B. Bolker and S. Walker. 2014. “lme4: Linear Mixed-Effects Models Using Eiqen and S4. R package version 1.1-7.” Available at: lme4 (accessed February 2, 2015). Belsley, D.A., R. E. Kuh, and R. Welsch. 1980. Regression Diagnostics: Identifying Influential Data and

Open access
On Explainable Fuzzy Recommenders and their Performance Evaluation

mechanism for data visualization with TSK-type preprocessed collaborative fuzzy rule based system, Journal of Artificial Intelligence and Soft Computing Research 7 (1): 33–46. Riid, A. and Preden, J.-S. (2017). Design of fuzzy rule-based classifiers through granulation and consolidation, Journal of Artificial Intelligence and Soft Computing Research 7 (2): 137–147. Rutkowska, D. (2002). Neuro-Fuzzy Architectures and Hybrid Learning , Studies in Fuzziness and Soft Computing, Springer Verlag, New York, NY. Rutkowski, L. (2004). Flexible Neuro

Open access
Application of Chemometric Analysis to the Study of Snow at the Sudety Mountains, Poland

Appennines. Atmos Res. 2002;61:311-334. DOI: 10.1016/S0169-8095(01)00139-9. [18] Stanimirova I, Walczak B, Massart DL. Multiple factor analysis in environmental chemistry. Anal Chim Acta. 2005;545:1-12. DOI: 10.1016/j.aca.2005.04.054. [19] Mellinger M. Chemometr Intell Lab Syst. 1987;2(29):29-36. DOI: 10.1016/0169-7439(87)80083-7. [20] Kohonen T. Self-organizing Maps. Berlin: Springer; 2001. . [21] Jin H, Shum WH, Leung KS, Wong ML. Expanding self-organizing map for data visualization and cluster analysis. Inf

Open access
On-Line Signature Partitioning Using a Population Based Algorithm

.M., Lewis, A. Grey wolf optimizer. Advances in engineering software, vol. 69, pp. 46-61 (2014) [19] Nanni, L., Maiorana, E., Lumini, A. and Campisi, P. Combining local, regional and global matchers for a template protected on-line signature verification system. Expert Systems with Applications, 37, 3676-3684 (2010) [20] Pedersen, M.E.H. Good parameters for differential evolution. Hvass Laboratories Technical Report, vol. HL1002 (2010) [21] Prasad, M., Liu, Y.T., Li, D.L., Lin, Ch.T., Shah, R.R., Kaiwartya, O.P. A New Mechanism for Data Visualization with

Open access
A Coupled Insulin and Meal Effect Neuro-Fuzzy Model for The Prediction of Blood Glucose Level in Type 1 Diabetes Mellitus Patients.

, J., 2017, Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods, Journal of Medical Systems, 41 (9):142. International Diabetes Federation, 2013, IDF Diabetes Atlas – 6 th Edition, Brussels Belgium, Retrieved September 2, 2016, from . International Diabetes Federation, 2016, IDF Diabetes Atlas – 7 th Edition. Retrieved September 2, 2016, from . Juan, Li. and Chandima, F., 2016, Smartphone-based personalized blood glucose

Open access