Academic literature on the topic 'Variability analyzing'
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Journal articles on the topic "Variability analyzing"
Rajaram, Kumar, and Andreas Robotis. "Analyzing variability in continuous processes." European Journal of Operational Research 156, no. 2 (July 2004): 312–25. http://dx.doi.org/10.1016/s0377-2217(03)00044-4.
Full textBirdsong, David. "Analyzing variability in L2 ultimate attainment." Language, Interaction and Acquisition 12, no. 1 (July 27, 2021): 133–56. http://dx.doi.org/10.1075/lia.21001.bir.
Full textJarrett, Jeffrey E., and Xia Pan. "Monitoring Variability and Analyzing Multivariate Autocorrelated Processes." Journal of Applied Statistics 34, no. 4 (May 2007): 459–69. http://dx.doi.org/10.1080/02664760701231849.
Full textDe Palma, André, Cédric Fontan, and Asad J. Khattak. "Analyzing work departure time variability in Brussels." Reflets et perspectives de la vie économique XLIII, no. 4 (2004): 89. http://dx.doi.org/10.3917/rpve.434.0089.
Full textBrings, Jennifer, Marian Daun, Thorsten Weyer, and Klaus Pohl. "Analyzing goal variability in cyber-physical system networks." ACM SIGAPP Applied Computing Review 20, no. 2 (July 27, 2020): 19–35. http://dx.doi.org/10.1145/3412816.3412818.
Full textChoudhary, Tilendra, Mousumi Das, L. N. Sharma, and M. K. Bhuyan. "Analyzing seismocardiographic approach for heart rate variability measurement." Biomedical Signal Processing and Control 68 (July 2021): 102793. http://dx.doi.org/10.1016/j.bspc.2021.102793.
Full textMin, Chang-Gi. "Analyzing the Impact of Variability and Uncertainty on Power System Flexibility." Applied Sciences 9, no. 3 (February 8, 2019): 561. http://dx.doi.org/10.3390/app9030561.
Full textA. A. Rashid, Rabiatul, Puteri N. E. Nohuddin, and Zuraini Zainol. "Analyzing Climate Variability in Malaysia Using Association Rule Mining." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 394. http://dx.doi.org/10.14419/ijet.v7i4.34.26881.
Full textRaimondi, Gianfranko, Aleksander Martynenko, S. Ostropolets, and N. Marchitto. "Artificial intelligence for heart rate variability analyzing with arrhythmias." Klinical Informatics and Telemedicine 14, no. 15 (December 20, 2019): 46–52. http://dx.doi.org/10.31071/kit2019.15.03.
Full textVieira, Sidney Rose, Célia Regina Grego, and George Clarke Topp. "Analyzing spatial and temporal variability of soil water content." Bragantia 67, no. 2 (2008): 463–69. http://dx.doi.org/10.1590/s0006-87052008000200022.
Full textDissertations / Theses on the topic "Variability analyzing"
S, Alhalalmeh, A. Pecherska, and O. N. Velichko. "Main aspects of developing an information system for heart rate variability analyzing." Thesis, ХМУ, 2019. http://openarchive.nure.ua/handle/document/10027.
Full textBhandari, Ranjit. "ANALYZING STREAMFLOW VARIABILITY UNDER CMIP5 PROJECTIONS USING SWAT MODEL." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2363.
Full textGriesser, Thomas. "Reconstruction of global upper-level circulation 1880-1957 for analyzing decadal climate variability /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17962.
Full textBhandari, Swastik. "ANALYZING THE RELATIONSHIP BETWEEN LARGE SCALE CLIMATE VARIABILITY AND STREAMFLOW OF THE CONTINENTAL UNITED STATES." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2362.
Full textTalanki, Nisha Priyanka. "Analyzing the Effect of Image Variability and Variable Lexical Representation on the Instruction of Biological Vocabulary." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/322075.
Full textSikder, Abu Hena Mustafa Kamal. "Analyzing Spatial Variability of Social Preference for the Everglades Restoration in the Face of Climate Change." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2565.
Full textNaga, Pradeep. "Analyzing the Effect of Moving Resonance on Seismic Response of Structures using Wavelet Transforms." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34646.
Full textMaster of Science
Tadepally, Harika. "Spatiotemporal Variation of Continuous PM2.5 In Cincinnati: Analyzing The Impacts of Local-Scale Emissions Versus Meteorological Variability." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802386325803.
Full textPerez, Raphaël. "Analyzing and modelling the genetic variability of aerial architecture and light interception of oil palm (Elaeis guineensis Jacq)." Thesis, Montpellier, SupAgro, 2017. http://www.theses.fr/2017NSAM0001/document.
Full textIn this study we proposed to investigate the influence of oil palm architecture on the capacity of the plant to intercept light, by using 3D reconstructions and model-assisted evaluation of radiation-use efficiency. The first objective of this study was to analyse and model oil palm architecture and light interception taking into account genetic variability. A second objective was to explore the potential improvements in light capture and carbon assimilation by manipulating oil palm leaf traits and propose architectural ideotypes.Allometric relationships were applied to model these traits according to ontogenetic gradients and leaf position within the crown. The methodology allowed reconstructing virtual oil palms at different stages over plant development. Additionally, the allometric-based approach was coupled to mixed-effect models in order to integrate inter and intra progeny variability through progeny-specific parameters. The model thus allowed simulating the specificity of plant architecture for a given progeny while including observed inter-individual variability. The architectural model, parameterized for the different progenies, was then implemented in AMAPstudio to generate 3D mock-ups and estimate light interception efficiency, from individual to stand scales.Significant differences in leaf geometry (petiole length, density of leaflets and rachis curvature) and leaflets morphology (gradients of leaflets length and width) were detected between and within progenies, and were accurately simulated by the modelling approach. Besides, light interception estimated from the validated 3D mock-ups showed significant variations among the five progenies.Sensitivity analyses were then performed on a subset of architectural parameters to identify the architectural traits impacting on light interception efficiency and potential carbon assimilation over plant development. The most sensitive parameters over plant development were those related to leaf area (rachis length, number of leaflets, leaflets morphology), but fine attribute related to leaf geometry showed increasing influence when canopy got closed. In adult stand, optimized carbon assimilation was estimated on plants presenting a leaf area index (LAI) between 3.2 and 5.5 m2.m−2, with erected leaves, short rachis and petiole and high number of leaflet on rachis. Four architectural ideotypes for carbon assimilation were proposed based on specific combinations of organs geometry, limiting mutual shading and optimizing light distribution within plant crown.In conclusion, this study highlighted how a functional-structural plant model (FSPM) can be used to virtually explore plant biology. In our case of study, the 3D model of oil palm, in its conception and its application, permitted to detect the architectural traits genetically determined and influencing light interception. The limited number of traits revealed in the sensitivity analysis and the combination of traits proposed through ideotypes could guide further breeding programs. Forthcoming work will be dedicated to integrate in the modeling approach other physiological processes such as stomatal conductance and carbon partitioning. The improved FSPM could then be used to test different scenarios, for instance in climate change context with low radiations or frequent drought events. Similarly, the model could be used to investigate different planting patterns and intercropping systems, and proposed new multi-criteria ideotypes of oil palm
Karlson, Martin. "Assessing GIS-based indicator methodology for analyzing the physical vulnerability of water and sanitation infrastructure." Thesis, Linköpings universitet, Tema vatten i natur och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84670.
Full textBooks on the topic "Variability analyzing"
Analyzing long time series of hydrological data with respect to climate variability: Project description. Geneva: World Meteorological Organization, 1988.
Find full textAllen, Jennifer D., Rachel C. Shelton, Karen M. Emmons, and Laura A. Linnan. Fidelity and Its Relationship to Implementation Effectiveness, Adaptation, and Dissemination. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190683214.003.0016.
Full textCongendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.
Full textAmaral, Mateus Carvalho, Flávio Silva Machado, Luiz Antônio de Oliveira Chaves, Maria Helena Teixeira da Silva, and Vanessa End de Oliveira. https://aeditora.com.br/produto/engenharia-na-pratica-ensino-pesquisa-e-aplicacoes/. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-151-6.
Full textSzewczyk, Janusz. Rola zaburzeń w kształtowaniu struktury i dynamiki naturalnych lasów bukowo-jodłowo-świerkowych w Karpatach Zachodnich. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-35-9.
Full textBook chapters on the topic "Variability analyzing"
Jones, Erick C. "Analyzing Variability." In Supply Chain Engineering and Logistics Handbook, 219–71. Boca Raton : CRC Press, an imprint of Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781315159096-8.
Full textKirchner, Kathrin, and Ralf Laue. "Variability Patterns for Analyzing Flexible Processes." In Business Process Management Workshops, 623–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74030-0_49.
Full textSvendsen, Andreas, Øystein Haugen, and Birger Møller-Pedersen. "Analyzing Variability: Capturing Semantic Ripple Effects." In Modelling Foundations and Applications, 253–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21470-7_18.
Full textErker, Daniel Gerard, and and Madeline Reffel. "Describing and analyzing variability in Spanish /s/." In Sociolinguistic Approaches to Sibilant Variation in Spanish, 131–63. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series:: Routledge, 2021. http://dx.doi.org/10.4324/9781003153948-7.
Full textPottschmidt, Katja, and Michael König. "Analyzing X-Ray Variability of Cygnus X-1." In Astronomical Time Series, 187–90. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3_20.
Full textKönig, Michael, Rüdiger Staubert, and Jens Timmer. "Analyzing X-Ray Variability by State Space Models." In Astronomical Time Series, 265–68. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3_39.
Full textKönig, Michael, and Jens Timmer. "Analyzing X-ray Variability by Linear State Space Models." In Statistical Challenges in Modern Astronomy II, 393–94. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1968-2_24.
Full textBelategi, Lorea, Goiuria Sagardui, and Leire Etxeberria. "MARTE Mechanisms to Model Variability When Analyzing Embedded Software Product Lines." In Software Product Lines: Going Beyond, 466–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_38.
Full textReinhartz-Berger, Iris, Nili Itzik, and Yair Wand. "Analyzing Variability of Software Product Lines Using Semantic and Ontological Considerations." In Advanced Information Systems Engineering, 150–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07881-6_11.
Full textDuszynski, Slawomir. "Visualizing and Analyzing Software Variability with Bar Diagrams and Occurrence Matrices." In Software Product Lines: Going Beyond, 481–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_41.
Full textConference papers on the topic "Variability analyzing"
Schlie, Alexander, Kamil Rosiak, Oliver Urbaniak, Ina Schaefer, and Birgit Vogel-Heuser. "Analyzing variability in automation software with the variability analysis toolkit." In the 23rd International Systems and Software Product Line Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3307630.3342408.
Full textVityazeva, T., S. Vityazev, and A. Mikheev. "Optimal design of heart rate variability analyzing filter." In 2015 4th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2015. http://dx.doi.org/10.1109/meco.2015.7181954.
Full textCarbonnel, Jessie, Marianne Huchard, and Clémentine Nebut. "Analyzing Variability in Product Families through Canonical Feature Diagrams." In The 29th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2017. http://dx.doi.org/10.18293/seke2017-087.
Full textSeidl, Christoph, and Uwe Aßmann. "Towards modeling and analyzing variability in evolving software ecosystems." In the Seventh International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2430502.2430507.
Full textRosiak, Kamil, Oliver Urbaniak, Alexander Schlie, Christoph Seidl, and Ina Schaefer. "Analyzing variability in 25 years of industrial legacy software." In the 23rd International Systems and Software Product Line Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3307630.3342410.
Full textEllis, R. J., L. Citi, and R. Barbieri. "A point process approach for analyzing gait variability dynamics." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090475.
Full textNguyen, Thi Bich Phuong, Yuan-Kang Wu, Manh-Hai Pham, and Ba Long Dong. "Analyzing Solar Resource Variability: A Case Study in Taiwan." In 2020 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2020. http://dx.doi.org/10.1109/is3c50286.2020.00114.
Full textBah, Abdou Rachid, Christal Jean-Soverall, Patty Arunyavikul, Ryan Chen, Hamid Norouzi, and Reginald Blake. "Analyzing Lakes Surface Temperature Variability at the Global Scale." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9555113.
Full textChen, Yi-Feng, Jiann-Shing Shieh, Shou-Zen Fan, Wan-Ting Chiang, Maysam F. Abbod, and Quan Liu. "Analyzing heart rate variability using a photoplethysmographic signal measuring system." In 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2016. http://dx.doi.org/10.1109/mesa.2016.7587195.
Full textYe, Pengyao, Zhuqing Chen, and Ling Xu. "Analyzing Travel Time Variability on Transit Route Using GPS Data." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.058.
Full textReports on the topic "Variability analyzing"
Price, Philip. Methods for Analyzing Electric Load Shape and its Variability. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/985909.
Full textWorkman, Austin, and Jay Clausen. Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41024.
Full textSchaffer, Arthur A., and Jocelyn Rose. Understanding Cuticle Development in Tomato through the Study of Novel Germplasm with Malformed Cuticles. United States Department of Agriculture, June 2013. http://dx.doi.org/10.32747/2013.7593401.bard.
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