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Showing 1 to 20 of 20 for “"Weighted Averaging"”.

  1. Advanced Ordered Weighted Averaging Methods in Robust Optimization

    … this dissertation investigates the Ordered Weighted Averaging (OWA) operator, which offers a flexible framework for aggregating outcomes according to varying risk preferences, from risk-averse to risk-neutral, encompassing traditional robust approaches as special cases. This work is …

    passau-thes Repository record for Advanced Ordered Weighted Averaging Methods in Robust Optimization (opens in a new tab)

  2. Holocene palaeohydrology from testate amoebae analysis: developing a model for British peatlands

    … of mean annual environmental conditions. Weighted averaging regression applied to the faunas provided absolute moisture content and mean annual water table optima for 38 common testate amoebae species. In the second part of the study weighted averaging calibration was used to derive …

    plymouth Repository record for Holocene palaeohydrology from testate amoebae analysis: developing a model for British peatlands (opens in a new tab)

  3. Modelo de decisão em grupo e negociação baseado em operadores de agregação ordenados

    … baseado nos agregadores ordenados: Ordered Weighted Averaging (OWA) e Ordered Weighted Distance (OWD) a fim de recomendar resultados que representem a opinião do grupo ou que auxilie em acordos satisfatórios para as partes em uma negociação, dentro de um nível de compensação coerente com o …

    brazil-ufpe Repository record for Modelo de decisão em grupo e negociação baseado em operadores de agregação ordenados (opens in a new tab)

  4. The algebraic representation of OWA functions in the binomial decomposition framework and its applications in large-scale problems

    … of multicriteria decision making, the ordered weighted averaging (OWA) functions play a crucial role in aggregating multiple criteria evaluations into an overall assessment to support decision makers reaching a decision. The determination of OWA weights is, therefore, an important task in this …

    trento Repository record for The algebraic representation of OWA functions in the binomial decomposition framework and its applications in large-scale problems (opens in a new tab)

  5. Multi-baseline interferometric synthetic aperture radar applications and error analysis

    … first examined in details. An optimal baseline-weighted height averaging technique is introduced. Phase averaging, a novel height retrieval technique, combines the multi-baseline phase data into one, such that only one set of heights is retrieved from the three-satellite configuration. This …

    mit Repository record for Multi-baseline interferometric synthetic aperture radar applications and error analysis (opens in a new tab)

  6. Development of error correction techniques for nitrate-N load estimation models

    … model, the ratio estimator, and the flow-weighted averaging estimator) applied at one-, two-, four-, six-, and eight-week sampling frequencies were compared. Five error correction techniques; the existing composite method, and four new error correction techniques developed in this study; …

    uiuc Repository record for Development of error correction techniques for nitrate-N load estimation models (opens in a new tab)

  7. Multistage neural network ensemble: adaptive combination of ensemble results

    … of individual ensemble members are simple averaging, weighted averaging, majorities voting and ranking. These are catalogued as static combination schemes, which require no prior training. One deficiency of such schemes is that weightings for the importance of the output of each ensemble …

    london-metro Repository record for Multistage neural network ensemble: adaptive combination of ensemble results (opens in a new tab)

  8. A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level

    … compensatory effect. 3. That the Induced Ordered Weighted Averaging (IOWA) operator is a very good choice to model the opinion of the majority (consensus) when the outputs of a number of classification methods are combined together. For academic and experimental purposes we have built the proposed …

    de-montfort Repository record for A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level (opens in a new tab)

  9. Radiation force modeling for ICESat precision orbit determination

    … of macro-model parameters were derived from area-weighted averaging of the micro-model reflectivities. They included solar-only and infrared-only spectral parameters, as well as a set combining these parameters. Daily POD solutions were generated with each of these macro-model sets, for eight-day …

    texas Repository record for Radiation force modeling for ICESat precision orbit determination (opens in a new tab)

  10. THE DEVELOPMENT OF DIATOM-NUTRIENT PALAEOLIMNOLOGICAL INFERENCE MODELS FOR UK LOWLAND RESERVOIRS

    … TP, Chla and EC are reconstructed using weighted averaging (WA) and weighted average partial least squares (WAPLS) techniques. Jack-knifed error statistics for the best performing models (WA inverse deshrinking), are comparable to those reported from similar studies. The plankton provides …

    plymouth Repository record for THE DEVELOPMENT OF DIATOM-NUTRIENT PALAEOLIMNOLOGICAL INFERENCE MODELS FOR UK LOWLAND RESERVOIRS (opens in a new tab)

  11. Development of Surface Acoustic Wave Optical Coherence Elastography (SAW-OCE) for Soft Tissue Characterisation

    … time-of-flight method, i.e., the multi-kernel-weighted-averaging (MKWA) method. In a vertically heterogeneous material, the elasticity of each layer was evaluated by analysing the SAW phase velocity dispersion using a novel mathematical model, i.e., the weighted average phase velocity (WAPV) …

    dundee Repository record for Development of Surface Acoustic Wave Optical Coherence Elastography (SAW-OCE) for Soft Tissue Characterisation (opens in a new tab)

  12. Federated self-supervised learning

    … a novel FL framework, incorporating stochastic weighted averaging during aggregation and partial weights updating, which achieves new state-of-the-art performance on downstream tasks. Third, we examine the prevalent issue of model divergence, instigated by clients’ bias in the area of …

    cambridge Repository record for Federated self-supervised learning (opens in a new tab)

  13. Detection of rare earth elements and rare earth oxides with hyperspectral spectroscopy

    … The main steps of REEMAP are: 1) multitemporal weighted averaging of multiple images covering the sample area; 2) sharpening the rare earth related signals using a Gaussian high pass deconvolution technique that is calibrated on the standard deviation of a Gaussian-bell shaped curve that …

    potsdam-diss Repository record for Detection of rare earth elements and rare earth oxides with hyperspectral spectroscopy (opens in a new tab)

  14. Modeling biodegradation settlement of municipal solid waste (msw) based on measurement of landfill gas and degradable solids in leachate recirculated bioreactors

    … and slowly biodegradable MSW samples using weighted averaging techniques. In a landfill, lifts of MSW, placed at different times, will degrade at different rates and are at different states of biodegradation. A method to determine the average state of biodegradation for such a condition is …

    njit Repository record for Modeling biodegradation settlement of municipal solid waste (msw) based on measurement of landfill gas and degradable solids in leachate recirculated bioreactors (opens in a new tab)

  15. Continuous-Time Delta-Sigma Modulators for Wireless Communication

    … (NRZ) feedback DACs, with and without data-weighted averaging (DWA), where an RZ DAC with DWA recovers the performance. Paper II and III presents a feedback scheme for improved robustness against variations in loop delay. An RZ pulse, centered in the clock period, is used in the innermost …

    lund Repository record for Continuous-Time Delta-Sigma Modulators for Wireless Communication (opens in a new tab)

  16. On the development of a digital elevation model over South Africa using ground and satellite data

    … of different fusion methods (linear combination, weighted averaging, and simple averaging) over South Africa. The fused DEM was assessed using 8,657 ground levelling points over South Africa. The standard deviation of the height differences between ground levelling and the fused DEM is ±4.290 m, …

    cape-town Repository record for On the development of a digital elevation model over South Africa using ground and satellite data (opens in a new tab)

  17. The distribution and dynamics of planktonic rotifera in the North Island, New Zealand

    … bioindicator indices were developed using Weighted Averaging techniques using rotifer communities for inferring trophic state. Some species, for example Keratella australis and Conochilus exiguus, appear to be limited in distribution by poor dispersal abilities. Rotifer diversity within …

    waikato-masters Repository record for The distribution and dynamics of planktonic rotifera in the North Island, New Zealand (opens in a new tab)

  18. Product of random stochastic matrices and distributed averaging

    … product of random stochastic matrices and random weighted averaging dynamics. It will be shown that a generalization of a fundamental result in the theory of ergodic Markov chains not only holds for inhomogeneous chains of stochastic matrices, but also remains true for random stochastic matrices. …

    uiuc Repository record for Product of random stochastic matrices and distributed averaging (opens in a new tab)

  19. A comparison of spatial interpolation techniques in temperature estimation

    … techniques such as inverse distance weighted averaging, cubic splining, the fitting of a trend surface, polynomial regression, and the lapse rate method. Eight interpolation techniques (inverse distance squared, optimal inverse distance, cubic splining, trend surface analysis, …

    vt Repository record for A comparison of spatial interpolation techniques in temperature estimation (opens in a new tab)

  20. Surface Ozone and Population Health

    … structural biases in models going beyond naïve weighted averaging of multiple models is urgently required. Building on CMIP6, a conventional aggressive ensemble-learning-based algorithm is transplanted, and also a more conservative 2-stage enhanced space-time neural network ensembler is …

    cambridge Repository record for Surface Ozone and Population Health (opens in a new tab)