https://rmadankan.com/2015/07/05/welcome-to-my-page/2019-12-01T21:23:05+00:00monthlyhttps://rmadankan.com/cv/2019-12-01T21:20:16+00:00weekly0.6https://rmadankan.com/some-abstract-thoughts/2016-01-08T01:50:36+00:00weekly0.6https://rmadankan.com/consciousness/2016-01-03T01:01:00+00:00weekly0.6https://rmadankan.com/some-abstract-thoughts/some-abstract-thoughts-about-self-and-identity/2015-12-29T07:33:00+00:00weekly0.6https://rmadankan.com/medical-imaging/2015-09-12T02:58:34+00:00weekly0.6https://rmadankan.com/journal-publications/2015-09-07T03:30:14+00:00weekly0.6https://rmadankan.com/conference-proceedings/2015-07-17T00:28:53+00:00weekly0.6https://rmadankan.com/research/2015-07-08T02:18:43+00:00weekly0.6https://rmadankan.com/uq/https://rmadankan.com/wp-content/uploads/2015/07/fpke.pngfpkeFokker-Plank Kolmogorov Equation solves for spatiotemporal variations of pdf, given a dynamical system.https://rmadankan.com/wp-content/uploads/2015/07/gpc.pnggpcSpectral decomposition approach vs. Monte Carlo methodhttps://rmadankan.com/wp-content/uploads/2015/07/mc.pngmcSchematic illustration of Monte Carlo approachhttps://rmadankan.com/wp-content/uploads/2015/07/uqmethods1.pnguqmethodsComparison between dierent applied methods for uncertainty quanticationhttps://rmadankan.com/wp-content/uploads/2015/07/uqmethods-e1436146330996.pnguqmethodsComparison between dierent applied methods for uncertainty quanticationhttps://rmadankan.com/wp-content/uploads/2015/07/uqmethods.jpguqmethodsComparison between dierent applied methods for uncertainty quantication2015-07-07T07:31:53+00:00weekly0.6https://rmadankan.com/nature/https://rmadankan.com/wp-content/uploads/2015/07/sat11.pngsat11Model Predictionhttps://rmadankan.com/wp-content/uploads/2015/07/model11.pngmodel11Satellite Imagehttps://rmadankan.com/wp-content/uploads/2015/07/pr_h2_cut_80m_t10.jpgPr_h2_cut_80m_t10Probability of presence of ash over the Europe in occurrence of Eyjafjallajökull eruptionhttps://rmadankan.com/wp-content/uploads/2015/07/pof.gifpof2015-07-07T04:43:12+00:00weekly0.6https://rmadankan.com/smart-obs/https://rmadankan.com/wp-content/uploads/2015/07/uav_dp.gifuav_dpSmart Observations: Location of applied data observation sensors, determined based on maximizing the mutual informationhttps://rmadankan.com/wp-content/uploads/2015/07/mass_st.gifmass_stconvergence of mass estimate while using stationary observationshttps://rmadankan.com/wp-content/uploads/2015/07/mass_dp.gifmass_dpconvergence of mass estimate while using smart observationshttps://rmadankan.com/wp-content/uploads/2015/07/mutualinfo.pngmutualinfohttps://rmadankan.com/wp-content/uploads/2015/07/ddmcost.pngddmcosthttps://rmadankan.com/wp-content/uploads/2015/07/ddm_scheme.pngddm_schemeSchematic view of Optimal Information Collection estimation process and its connection with other components2015-07-07T03:46:03+00:00weekly0.6https://rmadankan.com/masters-thesis-ph-d-dissertation/2015-07-07T02:55:16+00:00weekly0.6https://rmadankan.com/model-data-fusion/https://rmadankan.com/wp-content/uploads/2015/07/noise_eq.pngnoise_eqhttps://rmadankan.com/wp-content/uploads/2015/07/noise.pngnoiseSchematic view of the proposed method used for model - data fusion. As illustrated, proposed technique minimizes expected value of the error while preserving shape of error distribution, i.e. higher order statistics of error distribution. Prior and posterior values of expected value of error ensembles are also shown in the figure.https://rmadankan.com/wp-content/uploads/2015/07/est_alg.pngest_algBayesian Inference vs. Minimum Variance Frameworkhttps://rmadankan.com/wp-content/uploads/2015/07/ezgif-com-optimize.gifezgif.com-optimizeSchematic view of Model - Data Fusion process2015-07-06T05:02:56+00:00weekly0.6https://rmadankan.com/papers/2015-07-06T02:59:27+00:00weekly0.6https://rmadankan.com/book-chapters/2015-07-06T00:19:32+00:00weekly0.6https://rmadankan.com/conference-abstracts/2015-07-06T00:17:37+00:00weekly0.6https://rmadankan.comdaily1.02019-12-01T21:23:05+00:00