Academic literature on the topic 'Structural analysis algorithm'

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Journal articles on the topic "Structural analysis algorithm"

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Cahyapratama, Afrianda, Kelly Rosa Sungkono, and Riyanarto Sarno. "Gap analysis business process model by using structural similarity." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 124. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp124-134.

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<span>Gap analysis process model is a study that can help an institution to determine differences between business process models, such as a model of Standard Operating Procedure and a model of activities in an event log. Gap analysis is used for finding incomplete processes and can be obtained by using structural similarity. Structural similarity measures the similarity of activities and relationships depicting in the models. This research introduces a graph-matching algorithm as the structural similarity algorithm and compares it with dice coefficient algorithms. Graph-matching algorit
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Ju, Young-Ho, Joon-Cheol Kim, Kyoung-Suk Seo, and Joon-Whoan Lee. "Structural Analysis Algorithm for Automatic Transcription 'Pansori'." Journal of the Korea Contents Association 14, no. 2 (2014): 28–38. http://dx.doi.org/10.5392/jkca.2014.14.02.028.

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Li, Yandong, Wenkai Lu, Huanqin Xiao, Shanwen Zhang, and Yanda Li. "Dip-scanning coherence algorithm using eigenstructure analysis and supertrace technique." GEOPHYSICS 71, no. 3 (2006): V61—V66. http://dx.doi.org/10.1190/1.2194899.

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The eigenstructure-based coherence algorithms are robust to noise and able to produce enhanced coherence images. However, the original eigenstructure coherence algorithm does not implement dip scanning; therefore, it produces less satisfactory results in areas with strong structural dips. The supertrace technique also improves the coherence algorithms’ robustness by concatenating multiple seismic traces to form a supertrace. In addition, the supertrace data cube preserves the structural-dip information that is contained in the original seismic data cube; thus, dip scanning can be performed eff
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Liang, Xiao, and Khalid M. Mosalam. "Lyapunov-Based Nonlinear Solution Algorithm for Structural Analysis." Journal of Engineering Mechanics 144, no. 9 (2018): 04018082. http://dx.doi.org/10.1061/(asce)em.1943-7889.0001501.

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Anil Kumar, Atal. "Electrostatic Micro-actuator Structural Analysis Using Genetic Algorithm." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 02 (2015): 767–73. http://dx.doi.org/10.15662/ijareeie.2015.0402037.

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Cromley, Robert G., and Gerard M. Campbell. "Noninferior Bandwidth Line Simplification: Algorithm and Structural Analysis." Geographical Analysis 23, no. 1 (2010): 25–38. http://dx.doi.org/10.1111/j.1538-4632.1991.tb00219.x.

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Gong, Jin-xin, Ping Yi, and Na Zhao. "Non-Gradient–Based Algorithm for Structural Reliability Analysis." Journal of Engineering Mechanics 140, no. 6 (2014): 04014029. http://dx.doi.org/10.1061/(asce)em.1943-7889.0000722.

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Gong, Jin-Xin, and Ping Yi. "A robust iterative algorithm for structural reliability analysis." Structural and Multidisciplinary Optimization 43, no. 4 (2010): 519–27. http://dx.doi.org/10.1007/s00158-010-0582-y.

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Cheng, Jiaming, and Hui Jin. "Structural Reliability Analysis Using Group Teaching Optimization Algorithm." IOP Conference Series: Earth and Environmental Science 719, no. 2 (2021): 022015. http://dx.doi.org/10.1088/1755-1315/719/2/022015.

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Huang, Huang, and Huang. "A Novel Algorithm for Structural Reliability Analysis Based on Finite Step Length and Armijo Line Search." Applied Sciences 9, no. 12 (2019): 2546. http://dx.doi.org/10.3390/app9122546.

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This paper presents a novel algorithm for structural reliability analysis based on the finite step length and Armijo line search to remove the drawbacks of the Hasofer–Lind and Rakwitz–Fiessler (HL-RF) algorithm that may be subjected to non-convergence in the first-order reliability method (FORM). Initially, the sensitivity factor with finite step length is introduced for preventing the iterative process of the algorithm from entering a periodic loop. Subsequently, an optimization method based on the sufficient descent condition with the Armijo line search technique is proposed. With that, the
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Dissertations / Theses on the topic "Structural analysis algorithm"

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Qu, Shaohong. "High Performance Algorithms for Structural Analysis of Grid Stiffened Panels." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36990.

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In this research, we apply modern high performance computing techniques to solve an engineering problem, structural analysis of grid stiffened panels. An existing engineering code, SPANDO, is studied and modified to execute more efficiently on high performance workstations and parallel computers. Two new SPANDO packages, a modified sequential SPANDO and parallel SPANDO, are developed. In developing the new sequential SPANDO, we use two existing high performance numerical packages: LAPACK and ARPACK to solve our linear algebra problems. Also, a new block-oriented algorithm for computin
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Guriev, Denys. "Structural Analysis and Link Prediction Algorithm Comparison for a Local Scientific Collaboration Network." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1620752896767626.

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Jeong, Woo Yong. "Structural analysis and optimized design of general nonprismatic I-section members." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53020.

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Tapered I-section members have been employed widely for the design of long-span structures such as large clear-span buildings, stadiums, and bridges because of their structural efficiency. For optimized member design providing maximum strength and stiffness at minimum cost, general non-prismatic (tapered and/or stepped cross-sections) as well as singly-symmetric cross-sections have been commonly employed. Fabricators equipped to produce web-tapered members can create a wide range of optimized members from a minimal stock of different plates and coil. Linearly tapered web plates can be nested t
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Moore, Stephen Aerospace Civil &amp Mechanical Engineering Australian Defence Force Academy UNSW. "Structural dynamics analysis in the presence of unmeasured excitations." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Aerospace, Civil and Mechanical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38746.

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Methods for comprehensive structural dynamic analysis generally employ input-output modal analysis with a mathematical model of structural vibration using excitation and response data. Recently operational modal analysis methods using only vibration response data have been developed. In this thesis, both input-output and operational modal analysis, in the presence of significant unmeasured excitations, is considered. This situation arises when a test structure cannot be effectively isolated from ambient excitations or where the operating environment imposes dynamically-important boundary condi
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Zhang, He. "Semi-active control algorithm and simulation analysis for structural protection using MR dampers." Thesis, University of Macau, 2009. http://umaclib3.umac.mo/record=b2099633.

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Allen, Matthew Scott. "Global and Multi-Input-Multi-Output (MIMO) Extensions of the Algorithm of Mode Isolation (AMI)." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6877.

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A wide range of dynamic systems can be approximated as linear and time invariant, for which a wealth of tools are available to characterize or modify their dynamic characteristics. Experimental modal analysis (EMA) is a procedure whereby the natural frequencies, damping ratios and mode shapes which parameterize vibratory, linear, time invariant systems are derived from experimentally measured response data. EMA is commonly applied in a multitude of applications, for example, to generate experimental models of dynamic systems, validate finite element models and to characterize dissipation in
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Sreenivasan, K. R. "Structural Analysis And Forecasting Of Annual Rainfall Series In India." Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/262.

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The objective of the present study is to forecast annual rainfall taking into account the periodicities and structure of the stochastic component. This study has six Chapters. Chapter 1 presents introduction to the problem and objectives of the study. Chapter 2 consists of review of literature. Chapter 3 deals with the model formulation and development. Chapter 4 gives an account of the application of the model. Chapter 5 presents results and discussions. Chapter 6 gives the conclusions drawn from the study. In this thesis the following model formulations are presented in order to achieve th
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Sarkar, Arkopaul. "Semantic Data Integration in Manufacturing Design with a Case Study of Structural Analysis." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1407492780.

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Nguyen, Anh-Dung. "Contributions to modeling, structural analysis, and routing performance in dynamic networks." Phd thesis, Toulouse, INPT, 2013. http://oatao.univ-toulouse.fr/9725/1/nguyen.pdf.

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This thesis contributes to the modeling, understanding and efficient communication in dynamic networks populating the periphery of the Internet. By dynamic networks, we refer to networks that can be modeled by dynamic graphs in which nodes and links change temporally. In the first part of the thesis, we propose a new mobility model - STEPS - which captures a wide spectrum of human mobility behavior. STEPS implements two fundamental principles of human mobility: preferential attachment and attractor. We show that this simple parametric model is able to capture the salient statistical properties
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Nguyen, Anh Dung. "Contributions to Modeling, Structural Analysis, and Routing Performance in Dynamic Networks." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2013. http://tel.archives-ouvertes.fr/tel-00908502.

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Cette thèse apporte des contributions à la modélisation, compréhension ainsi qu'à la communication efficace d'information dans les réseaux dynamiques peuplant la périphérie de l'Internet. Par réseaux dynamiques, nous signifions les réseaux pouvant être modélisés par des graphes dynamiques dans lesquels noeuds et liens évoluent temporellement. Dans la première partie de la thèse, nous proposons un nouveau modèle de mobilité - STEPS - qui permet de capturer un large spectre de comportement de mobilité humains. STEPS mets en oeuvre deux principes fondamentaux de la mobilité humaine : l'attachemen
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Books on the topic "Structural analysis algorithm"

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Thornton, Earl A. A Taylor-Galerkin finite element algorithm for transient nonlinear thermal-structural analysis. Dept. of Mechanical Engineering and Mechanics, School of Engineering, Old Dominion University, 1986.

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Thornton, Earl A. A Taylor-Galerkin finite element algorithm for transient nonlinear thermal-structural analysis. Dept. of Mechanical Engineering and Mechanics, School of Engineering, Old Dominion University, 1986.

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Oyama, Akira. Multiobjective optimization of rocket engine pumps using evolutionary algorithm. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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M, Halldórsson Magnús, and SpringerLink (Online service), eds. Structural Information and Communication Complexity: 19th International Colloquium, SIROCCO 2012, Reykjavik, Iceland, June 30-July 2, 2012, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Weiss, Mark Allen. Data structures and algorithm analysis. 2nd ed. Benjamin/Cummings Pub. Co., 1995.

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Weiss, Mark Allen. Data structures and algorithm analysis. Benjamin/Cummings Pub. Co., 1992.

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Data structures & algorithm analysis in C++. 2nd ed. Addison Wesley, 1999.

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Data structures & algorithm analysis in Java. 2nd ed. Addison-Wesley, 2006.

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Weiss, Mark Allen. Data structures & algorithm analysis in Java. Addison-Wesley, 1999.

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Fraser, J. A. Algorithms for orientation analysis: Version 2.07. J.A. Fraser, 1996.

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Book chapters on the topic "Structural analysis algorithm"

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Barbosa, H. J. C., and R. A. Feijóo. "A Numerical Algorithm for Signorini’s Problem with Coulomb Friction." In Unilateral Problems in Structural Analysis — 2. Springer Vienna, 1987. http://dx.doi.org/10.1007/978-3-7091-2967-8_3.

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Loendersloot, R., T. H. Ooijevaar, L. Warnet, A. de Boer, and R. Akkerman. "Vibration Based Structural Health Monitoring and the Modal Strain Energy Damage Index Algorithm Applied to a Composite T-Beam." In Vibration and Structural Acoustics Analysis. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1703-9_6.

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Scuro, Carmelo, Renato Sante Olivito, Francesco Lamonaca, and Domenico Luca Carnì. "Structural Health Monitoring Based on Artificial Intelligence Algorithm and Acoustic Emission Analysis." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64908-1_24.

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Scuro, Carmelo, Renato Sante Olivito, Francesco Lamonaca, and Domenico Luca Carnì. "Structural Health Monitoring Based on Artificial Intelligence Algorithm and Acoustic Emission Analysis." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64908-1_24.

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Fu, Xia, Yajun Du, and Yongtao Ye. "Network Structural Balance Analysis for Sina Microblog Based on Particle Swarm Optimization Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68699-8_14.

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Jiao, Lili. "An Image Denosing Algorithm for Strong Noise Image Based on Structural Similarity of Contourlet Domain via Grey Relational Analysis." In Innovative Mobile and Internet Services in Ubiquitous Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22263-5_29.

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Watanabe, Osamu, and Seinosuke Toda. "Structural analyses on the complexity of inverting functions." In Algorithms. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52921-7_53.

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Zhang, Y., and A. Kiureghian. "Two Improved Algorithms for Reliability Analysis." In Reliability and Optimization of Structural Systems. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34866-7_32.

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Hinton, Ernest, Johann Sienz, and Mustafa Özakça. "Structural Optimization Methods and Algorithms." In Analysis and Optimization of Prismatic and Axisymmetric Shell Structures. Springer London, 2003. http://dx.doi.org/10.1007/978-0-85729-424-1_3.

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Washietl, Stefan, and Tanja GesellGesell. "Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure." In Structural Analysis of Complex Networks. Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4789-6_17.

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Conference papers on the topic "Structural analysis algorithm"

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BOSTIC, SUSAN. "A LANCZOS ALGORITHM FOR VIBRATION, BUCKLING AND THERMAL ANALYSIS." In 34th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1637.

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TAN, CHIN-AN, and CHIH-HUNG CHUNG. "A new computation algorithm for analysis of complex distributed systems." In 33rd Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2328.

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THORNTON, E., and P. DECHAUMPHAI. "A Taylor-Galerkin finite element algorithm for transient nonlinear thermal-structural analysis." In 27th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-911.

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AGARWAL, TARUN, OLAF STORAASLI, and DUC NGUYEN. "A Parallel-Vector Algorithm for Rapid Structural Analysis on High-Performance Computers." In 31st Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1149.

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BATINA, JOHN. "Unsteady Euler algorithm with unstructured dynamic mesh for complex-aircraft aeroelastic analysis." In 30th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1189.

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Daly, Patricia, and Dung Ngo. "Multidisciplinary structural optimization utilizing genetic algorithm capabilities." In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-4776.

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Jagannath, J., and K. Badhrinath. "Solution of multilevel structural design problems using a nonsmooth algorithm." In 6th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3986.

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Yuruk, Nurcan, Mutlu Mete, Xiaowei Xu, and Thomas A. J. Schweiger. "AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks." In 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM). IEEE, 2009. http://dx.doi.org/10.1109/asonam.2009.74.

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Smaglichenko, Tatyana A., Igor A. Volodin, Andrei A. Lukyanitsa, Alexander V. Smaglichenko, and Maria K. Sayankina. "Structural algorithm to reservoir reconstruction using passive seismic data (synthetic example)." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756226.

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Yan, Hao, Meng Guang-Wei, Zhou Zhen-Ping, and Li Feng. "Structural Reliability Analysis Based on Imperialist Competitive Algorithm." In 2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA). IEEE, 2013. http://dx.doi.org/10.1109/isdea.2013.535.

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Reports on the topic "Structural analysis algorithm"

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Heinstein, M. W., S. W. Attaway, J. W. Swegle, and F. J. Mello. A general-purpose contact detection algorithm for nonlinear structural analysis codes. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10175733.

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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite ele
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Parlett, B. N., P. S. Jensen, and T. Erickson. Lanczos Algorithm Applied to Modal Analysis of Very Large Structures. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160210.

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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR
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Gusfield, D., E. L. Lawler, K. Balasubramanian, et al. Efficient algorithms and data structures in support of DNA mapping and sequence analysis. Progress report, February 1991--February 1992. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10134015.

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Cioslowski, J., and D. Moncrieeff. [Development, implementation and testing of highly efficient algorithms for evaluation and analysis of electronic structures]. Progress report, April 1, 1995--July 31, 1996. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/290883.

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Downard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40439.

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The orientation of constructed levee embankments relative to alluvial swales is a useful measure for identifying regions susceptible to backward erosion piping (BEP). This research was conducted to create an automated, efficient process to classify patterns and orientations of swales within the Lower Mississippi Valley (LMV) to support levee risk assessments. Two machine learning algorithms are used to train the classification models: a convolutional neural network and a U-net. The resulting workflow can identify linear topographic features but is unable to reliably differentiate swales from o
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Amela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano, and R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.

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This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark is an embarrassingly parallel benchmark that performs a read and then multiple writes of the same object, with the objective of stressing the memory and storage systems and evaluate the overhead when these reads and writes are performed in parallel. A second benchmark is dened based on the Continuation Multi Level Monte Carlo (C-MLMC) algorithm. While this algorithm is norm
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