robust solution
Robust solution of Richards' equation for non-unIform porous media
... The robust solution of these applications is desirable, but is not currently possible for certain common sets of constitutive relations, parameter values, and auxiliary ...
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Development of a deep neural network for automated electromyographic pattern classification
... A robust solution for automated sEMG evaluation could be achieved using artificial neural networks (ANNs), which are increasingly used for pattern recognition and classification in the field of machine ...
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Testing for exogeneity in cointegrated panels
... be robust even when the underpinning model is incorrectly ...a robust solution to endogeneity; however upon accepting the null hypothesis that exogeneity does not hold, di¤erent estimation techniques ...
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Optimising the invitation strategy for colon cancer screening
... We tried to find out why the LP-relaxation works so good. During this search we saw that solving the MILP mostly gave integer LP-relaxation solutions. This indicates a possibly Totally Unimodular (TUM) property of the ...
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An Algorithm For Evaluating Variation Of Cross Over And Mutation Operator In Genetic Algorithm (GAVCOMO)
... e. There are many fields where Genetic Algorithm can be applied for finding optimized and robust solution .It is used in engineering design for evaluating fast and economical process for designing ...
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Improving Performance of Graph Selector in Heap Graph Based Software Theft Detection Prachi M. Tamgadge, Prof. S. A. Murab
... A redesigned heap graph based birthmark for JavaScript to make it a scalable and robust solution for detecting software theft can be used. The proposed birthmark is formed by extracting objects from the ...
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SDN Multi Controller based Framework to Detect and Mitigate DDoS in Large Scale Network
... capacity and a single point of failure issue, making it unsuitable to meet the increased network demand. In this work, we propose a scalable intrusion detection framework depending on a multi-controller SDN. We utilize ...
6
Testing for Exogeneity in Cointegrated Panels
... be robust even when the underpinning model is incorrectly ...a robust solution to endogeneity; however upon accepting the null hypothesis that exogeneity does not hold, di¤erent estimation techniques ...
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Robust Linear MIMO in the Downlink: A Worst-Case Optimization with Ellipsoidal Uncertainty Regions
... recent robust techniques are reviewed as follows. The robust transceiver design for a single-user multicarrier MIMO system with various channel uncer- tainties was presented in ...a robust maximin ...
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On the solution of min-max problems in robust optimization
... most robust solution and provide a lower limit on the achiev- able performance of the ...the solution of a global min-max problem in which the worst case is defined as a maximum in the uncertain ...
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A Robust and Scalable Solution for Interpolative Multidimensional Scaling With Weighting
... generate robust clustering and visualization results on millions of sequences by using MDS ...a robust solution for input data with missing values by adding a weight function to both MDS and ...a ...
9
Online Full Text
... Abstract—This paper presents the image processing technique gray level co-occurance matrix (GLCM) in solid waste bin level detection and classification. Advanced communication technologies are integrated with GLCM to ...
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A Robust and Scalable Solution for Interpolative Multidimensional Scaling with Weighting
... generate robust clustering and visualization results on millions of sequences by using MDS ...a robust solution for input data with missing values by adding a weight function to both MDS and ...a ...
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An Evolutionary Approach to Active Robust Multiobjective Optimisation
... The approach taken in this study to solve an ARMOP is to use a scalarising function to represent the variate of Pareto frontiers of every candidate solution. This approach was found useful for the gearbox case ...
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An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization
... in robust design op- timization. In evidence-based robust optimization, the solutions that minimize the design budgets are robust under epistemic uncertainty if they maximize the Belief in the ...
8
A bicriteria approach to robust optimization
... Ω−Robustness. The second concept was proposed by Ben-Tal and Nemirovski [6]. We call it Ω−robustness as the problems are parameterized by Ω. The main idea of the concept is to include chance constraints to deal with ...
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A robust and energy-conserving model of freezing variably-saturated soil
... analytical solution of Carslaw and Jaeger (1959) to a porous soil, and introduced the ef- fect of an artificial freezing zone of finite width between the frozen and the unfrozen parts; this avoids the problem of ...
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Robust diagnostic genetic testing using solution capture enrichment and a novel variant-filtering interface.
... Clinical Validation of Hereditary Cancer Reagents Following the successful identification of all known variants in the phase 1 cohort, we prospectively analyzed 47 further patients using[r] ...
8
Opinion Dynamics in Social Networks through Mean-Field Games
... a robust mean-field equilibrium, that is, a solution including the worst-case value function, the state feedback best-responses for the controlled inputs and worst-case disturbances and a density ...This ...
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Mathematics of the total alkalinity–pH equation – pathway to robust and universal solution algorithms: the SolveSAPHE package v1.0.1
... In the following parts of this section, we review a number of aspects of total alkalinity in natural waters. The main focus will be put onto seawater and on the carbonate system, but all the presented developments can be ...
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