Bibliographies thématiques / Sensitivity indices, given data, first order indices

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Littérature scientifique sur le sujet « Sensitivity indices, given data, first order indices »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Sensitivity indices, given data, first order indices"

Gru, Guillaume, Jean-François Girard, Philippe Ackerer, and Nolwenn Lesparre. "Global sensitivity analysis of a hydrogeophysical model coupling groundwater infiltration process and Surface Nuclear Magnetic Resonance." ARPHA Conference Abstracts 8 (May 28, 2025): e151705. https://doi.org/10.3897/aca.8.e151705.

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1: Introduction Water resources in mountainous areas are of major importance for local ecosystems as well as for human activities. Therefore, it is crucial to monitor the availability of these resources and to be able to predict their evolution accurately in the context of climate change. Hydrologic modeling is a useful tool to achieve this goal. To do so, the models need to be properly parameterized. Geophysical sounding techniques are very useful tools to provide information for the model calibration process. This work focuses on the Surface Nuclear Magnetic Resonance (SNMR) sounding techniq

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Melese, Abdisa Shiferaw, Oluwole Daniel Makinde, and Legesse Lemecha Obsu. "Mathematical modelling and analysis of coffee berry disease dynamics on a coffee farm." Mathematical Biosciences and Engineering 19, no. 7 (2022): 7349–73. http://dx.doi.org/10.3934/mbe.2022347.

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<abstract><p>This paper focuses on a mathematical model for coffee berry disease infestation dynamics. This model considers coffee berry and vector populations with the interaction of fungal pathogens. In order to gain an insight into the global dynamics of coffee berry disease transmission and eradication on any given coffee farm, the assumption of logistic growth with a carrying capacity reflects the fact that the amount of coffee plants depends on the limited size of the coffee farm. First, we show that all solutions of the chosen model are bounded and non-negative with positive

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Younes, Anis, Jabran Zaouali, François Lehmann, and Marwan Fahs. "Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media." Hydrology and Earth System Sciences 22, no. 7 (2018): 3561–74. http://dx.doi.org/10.5194/hess-22-3561-2018.

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Abstract. Fluid flow in a charged porous medium generates electric potentials called streaming potential (SP). The SP signal is related to both hydraulic and electrical properties of the soil. In this work, global sensitivity analysis (GSA) and parameter estimation procedures are performed to assess the influence of hydraulic and geophysical parameters on the SP signals and to investigate the identifiability of these parameters from SP measurements. Both procedures are applied to a synthetic column experiment involving a falling head infiltration phase followed by a drainage phase. GSA is used

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Liu, Xing, Enrico Zio, Emanuele Borgonovo, and Elmar Plischke. "A Systematic Approach of Global Sensitivity Analysis and Its Application to a Model for the Quantification of Resilience of Interconnected Critical Infrastructures." Energies 17, no. 8 (2024): 1823. http://dx.doi.org/10.3390/en17081823.

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We consider a model for the resilience analysis of interconnected critical infrastructures (ICIs) that describes the dependencies among the subsystems within the ICIs and their time-varying behavior. The model response is a function of uncertain inputs comprising ICIs design parameters and failure magnitudes of vulnerable elements in the system, etc. In this methodological paper, we present a systematic approach based on an innovative blend of methods to perform a sensitivity analysis for identifying the most relevant variables affecting the system resilience at different stages, during a disr

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Van Niekerk, Elna, and Luke Sandham. "Visual interpretation of ASTER satellite data, Part 1: Geologic mapping in the Cradle of Humankind World Heritage Site." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 26, no. 3 (2007): 177–95. http://dx.doi.org/10.4102/satnt.v26i3.132.

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Since the first earth observing satellite was launched in 1972, remote sensing has become a powerful tool in the arsenal of geoscientists. This satellite became known as Landsat 1 and carried the Multispectral Scanner (MSS) delivering imagery at a spatial resolution of 80, and spectral resolution from blue to near infrared. Ongoing satellite and sensor development to the end of the century produced the Landsat Thematic Mapper (TM) with improved spatial and spectral resolution, as well as the SPOT series of satellites delivering the highest spatial but limited spectral resolution. These develop

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Kala, Zdeněk. "Global Sensitivity Analysis of Structural Reliability Using Cliff Delta." Mathematics 12, no. 13 (2024): 2129. http://dx.doi.org/10.3390/math12132129.

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This paper introduces innovative sensitivity indices based on Cliff’s Delta for the global sensitivity analysis of structural reliability. These indices build on the Sobol’ method, using binary outcomes (success or failure), but avoid the need to calculate failure probability Pf and the associated distributional assumptions of resistance R and load F. Cliff’s Delta, originally used for ordinal data, evaluates the dominance of resistance over load without specific assumptions. The mathematical formulations for computing Cliff’s Delta between R and F quantify structural reliability by assessing

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Rodríguez-Guisado, Esteban, Antonio Ángel Serrano-de la Torre, Eroteida Sánchez-García, Marta Domínguez-Alonso, and Ernesto Rodríguez-Camino. "Development of an empirical model for seasonal forecasting over the Mediterranean." Advances in Science and Research 16 (August 26, 2019): 191–99. http://dx.doi.org/10.5194/asr-16-191-2019.

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Abstract. In the frame of MEDSCOPE project, which mainly aims at improving predictability on seasonal timescales over the Mediterranean area, a seasonal forecast empirical model making use of new predictors based on a collection of targeted sensitivity experiments is being developed. Here, a first version of the model is presented. This version is based on multiple linear regression, using global climate indices (mainly global teleconnection patterns and indices based on sea surface temperatures, as well as sea-ice and snow cover) as predictors. The model is implemented in a way that allows ea

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Jafari, Marzieh, and Khaled Akbari. "Global sensitivity analysis approaches applied to parameter selection for numerical model-updating of structures." Engineering Computations 36, no. 4 (2019): 1282–304. http://dx.doi.org/10.1108/ec-08-2018-0336.

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Purpose This paper aims to measure the sensitivity of the structure’s deformation numerical model (NM) related to the various types of the design parameters, which is a suitable method for parameter selection to increase the time of model-updating. Design/methodology/approach In this research, a variance-based sensitivity analysis (VBSA) approach is proposed to measure the sensitivity of NM of structures. In this way, the contribution of measurements of the structure (such as design parameter values and geometry) on the output of NM is studied using first-order and total-order sensitivity indi

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Balcázar-Villarroel, Mario, Angélica Mancilla-Uribe, Sandra Navia-León, Florencia Carmine, Katherine Birditt, and Cristian Sandoval. "Diagnostic Performance of Red Blood Cell Indices in the Differential Diagnosis of Iron Deficiency Anemia and the Thalassemia Trait in Chile: A Retrospective Study." Diagnostics 14, no. 21 (2024): 2353. http://dx.doi.org/10.3390/diagnostics14212353.

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Background: Iron deficiency anemia (IDA) and the β-thalassemia trait (BTT) are two main causes of hypochromic–microcytic anemia worldwide. Researchers have described many red blood cell (RBC) indices as screening tests for presumptive differentiation, based on differences observed in complete blood count (CBC) data for each condition. There are few BTT reports in Chile, and neither laboratories nor clinical staff have widely used these indices. Objective: The objective of this study was to evaluate the diagnostic performance of 29 RBC indices in 182 patients (51 BTT and 131 IDA) and compare CB

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Kanwal, S., M. K. Siddiqui, E. Bonyah, T. S. Shaikh, I. Irshad, and S. Khalid. "Ordering Acyclic Connected Structures of Trees Having Greatest Degree-Based Invariants." Complexity 2022 (March 16, 2022): 1–16. http://dx.doi.org/10.1155/2022/3769831.

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Being building block of data sciences, link prediction plays a vital role in revealing the hidden mechanisms that lead the networking dynamics. Since many techniques depending in vertex similarity and edge features were put forward to rule out many well-known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. In this study, we applied some graph transformations and several inequalities to determine the greatest value of first and second Zagreb invariant, S K and S K 1 invariants, for acyclic connected structures of g

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Thèses sur le sujet "Sensitivity indices, given data, first order indices"

GIOIA, PAOLA. "Towards more accurate measures of global sensitivity analysis. Investigation of first and total order indices." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/45695.

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A new technique for estimating variance–based total sensitivity indices from given data is developed. It is also develped a new approach for the estimation of the first order effects given a specific sample design. This method adopts the RBD approach published by Tarantola et al., (2007) for the computation of first order sensitivity indices in association to Quasi–Random numbers.

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Chapitres de livres sur le sujet "Sensitivity indices, given data, first order indices"

Ahamer, Gilbert, and Karl A. Kumpfmüller. "Education and Literature for Development in Responsibility." In Handbook of Research on Transnational Higher Education. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4458-8.ch027.

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In order to propose quality assurance for cutting-edge transnational higher education management, this chapter first analyzes data on academic developmental journals while making use of the three widely known literature databases ISI Thomson, Scopus, and Google Scholar; the latter analyzed by the software Publish or Perish (PoP). Time series of data for documents and their citations provide indices; this chapter provides as most helpful indices the ISI impact factor, Scopus SNIP, and PoP AW index. A dozen of the most influential developmental journals are heuristically ranked by taking into ac

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Hidalgo Cesar and Vega Johnny. "Risk Estimation in Urban Buildings by Landslides Triggered by Earthquakes and Rainfall (Medellin-Colombia)." In From Fundamentals to Applications in Geotechnics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-603-3-2892.

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This article presents a risk modeling in buildings by landslides triggered by earthquakes and rainfall in the city of Medellin using a geographic information system (GIS). For this, a computer model that considers topographic, geological, geotechnical and hydrological characteristics of the study area was implemented to determine landslide hazard by evaluating the stability of slopes using pseudo static Newmark Method, including a probabilistic approach technique based on the first order and second moment -FOSM-. The approach for the assessment of physical vulnerability of buildings in the stu

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Actes de conférences sur le sujet "Sensitivity indices, given data, first order indices"

Ma, Juntao, Bolei Tan, Bingtao Li, Minann DeSouza, Carrie Holloway, and Vincenzo De Gennaro. "Global Sensitivity Analysis for Carbon Storage Site Ranking and Selection." In International Petroleum Technology Conference. IPTC, 2025. https://doi.org/10.2523/iptc-25020-ms.

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Abstract The main objective of this study is to define a solution that enables global sensitivity analysis (GSA) during carbon storage site ranking and selection while considering correlations between connected site properties. The aim is to identify the key site properties that contribute most to the ranking results' variability and provide guidance for data acquisition in the subsequent evaluation and characterization phase to decrease uncertainty and risk in site ranking and selection. When there is no correlation between site properties, the Sobol' indices method is employed for GSA; other

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Osborn, Mark, and LiJie Yu. "Decision Support for Remote Monitoring and Diagnostics of Aircraft Engine Using Influence Diagrams." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-28331.

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FAA regulations require the monitoring of all commercial aircraft engines to ensure airworthiness. In doing so, it provides economic advantages to engine owners to monitor engine performance and resolve identified issues in a timely manner to reduce operational costs or avoid secondary damage. Various remote monitoring and diagnostics service providers exist in the marketplace. However, a common understanding among most of them is that given limited time and information, it is an extremely difficult task to make quick and optimized decisions. Difficulties arise from the fact that an aircraft e

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Jayaraman, Buvana, Manas Khurana, Andrew Wissink, and Rohit Jain. "Uncertainty Quantification Approach for Rotorcraft Simulations." In Vertical Flight Society 78th Annual Forum & Technology Display. The Vertical Flight Society, 2022. http://dx.doi.org/10.4050/f-0078-2022-17462.

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The goal of this work is to quantify the uncertainty and sensitivity of freestream velocity and wind direction on wing download and rotor thrust predictions for the Joint Vertical Experiment (JVX) tiltrotor configuration in hover. Even light winds can have a significant impact on hover performance. Accordingly, an accurate representation of hover performance with uncertainties due to variability in atmospheric wind conditions needs to be understood. To support this effort, mid-fidelity simulations with a Reduced Order Aerodynamic Model in CREATETM-AV Helios is used to generate training and tes

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Atayo, Asonganyi, Talha Khan, Rajeev Nair, and Muhammad Rahman. "Optimizing Laser Cutting Parameters for Austenitic Stainless Steel: Insights From Gaussian Process Regression and Sensitivity Analysis." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-139929.

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Abstract Laser cutting is a crucial subtractive manufacturing process employed across various industries, including healthcare, manufacturing, and semiconductors. This study aims to develop a predictive model for laser cutting of austenitic stainless steel using Gaussian Process Regression (GPR) and to rank the importance of cutting parameters through sensitivity analysis. The research focuses on understanding the influence of input parameters (laser speed, gas type, laser power, and laser focus distance) on output variables such as kerf width, heat-affected zones, and surface roughness. The m

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Davis, Brad, Gregory Langone, and Nicholas Reisweber. "Sensitivity Analysis and Bayesian Calibration of a Holmquist-Johnson-Cook Material Model for Cellular Concrete Subjected to Impact Loading." In ASME 2022 Verification, Validation, and Uncertainty Quantification Symposium. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/vvs2022-86800.

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Abstract Periodic updates to small caliber weapon systems and projectiles used in military and law enforcement have resulted in consistently increasing material penetration capabilities. With each new generation, ballistics technology outpaces the lifecycle replacement of live-fire training facilities. For this reason, it is necessary to develop and maintain constitutive material models for use in analyzing the effects new threats will have on existing facilities and for designing new training facilities using numerical methods. This project utilizes material testing data to characterize cellu

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Chen, Ray T., William Phillips, Thomasz Jannson, and David Pelka. "Integration of Polymer Waveguides with HOE On GaAs, LiNbO3, Glass And Aluminum Substrates to Provide massive Fan Out (104/node) Optical Interconnects for Computing." In Optical Computing. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/optcomp.1989.pd1.

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In this paper, we report good quality waveguides (loss<ldb/cm) formed from pure gelatin, i.e., gelatin without ammonium dichromate. Pure gelatin solutions with various water to gelatin ratios were spun on top of soda-lime glass (N=1.512 at 632.8nm). When gelatin first goes into aqueous solution the molecules exist as single chains encircled by water molecules. Upon standing at temperatures below 30 °C, solutions containing more than 1% gelatin become rigid through cross linking and exhibit rubber-like mechanical properties. In this work optical waveguides were thus formed. The waveguiding p

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Parunov, Josˇko, Paulo Mage, and C. Guedes Soares. "Hull-Girder Reliability of an Aged Oil Tanker." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57183.

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The aim of the paper is to assess the hull-girder reliability of an existing single-hull oil tanker after 25 years of service using a reliability method and assumptions very similar to those proposed recently by International Maritime Organization (IMO). The evaluation of the wave-induced load effects that occur during long-term operation of the ship in the seaway is carried out in accordance with the International Association of Classification Societies (IACS)-recommended procedure, while transfer functions are calculated using the linear strip theory. The still-water loads are defined on the

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Fuglem, Mark, Martin Richard, and Jan Thijssen. "Challenges Implementing ISO 19906 for Probabilistic Assessment of Multi-year Sea Ice Loads on Sloping Structures." In SNAME 11th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2014. http://dx.doi.org/10.5957/icetech-2014-154.

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The ISO standard ISO 19906:2010 provides guidance for determining design loads for offshore structures in arctic and sub-arctic regions, using both deterministic and probabilistic approaches. References are provided for models of both first and multi-year ice loads on both vertically-faced and sloping structures. ISO 19906 indicates that consideration should be given to limit stresses at the ice structure interface based on the dominating ice failure mechanisms, limit forces associated with the available driving force that can act on the interacting ice floe due to wind, currents and surroundi

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