Výsledky vyhledávání - Large and Complex Data Theory

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory Autor Van Nguyen, Truong, Zhang, Jie, Zhou, Li, Meng, Meng, He, Yong

“… The paper proposes a two-stage approach that combines data mining and complex network theory to optimize the locations and service areas of dry ports in a large-scale inland transportation system…”
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Bayesian Mediation Analysis of Large-Scale Complex Imaging Data: Method, Theory and Computation Autor Xu, Yuliang

“… This dissertation develops a novel modeling framework for Bayesian mediation analysis tailored to large-scale and complex imaging data…”
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Efficient computation of 3D Morse–Smale complexes and persistent homology using discrete Morse theory Autor Günther, David, Reininghaus, Jan, Wagner, Hubert, Hotz, Ingrid

“… This complex allows for an efficient computation of persistent homology since it is, in general, much smaller than the input data but still contains all necessary information…”
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Objective Information Theory Autor Xu, Jianfeng, Wang, Shuliang, Liu, Zhenyu, Wang, Yashi, Wang, Yingfei, Dang, Yingxu

“…Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph…”
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Coarse-Grained Representations of Large Biomolecular Complexes from Low-Resolution Structural Data Autor Zhang, Zhiyong, Voth, Gregory A

“…High-resolution atomistic structures of many large biomolecular complexes have not yet been solved by experiments, such as X-ray crystallography or NMR…”
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Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory Autor Guikema, Seth D.

“…Probabilistic risk analysis has historically been developed for situations in which measured data about the overall reliability of a system are limited and expert knowledge is the best source of information available…”
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CDC: A Simple Framework for Complex Data Clustering Autor Kang, Zhao, Xie, Xuanting, Li, Bingheng, Pan, Erlin

“… In this work, we propose a simple but effective framework for complex data clustering (CDC) that can efficiently process different types of data with linear complexity…”
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Beyond large complex structure: quantized periods and boundary data for one-modulus singularities Autor Bastian, Brice, van de Heisteeg, Damian, Schlechter, Lorenz

“… Near large complex structure points these asymptotic periods are well understood in terms of the topological data of the mirror Calabi-Yau manifold…”
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Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors Autor Lv, Jianhui, Kim, Byung-Gyu, Parameshachari, B.D., Slowik, Adam, Li, Keqin

“…•We propose a novel large model-driven approach for hyperscale healthcare data fusion analysis in complex multi-sensor multi-sensors…”
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A manufacturing systems network model for the evaluation of complex manufacturing systems Autor Becker, Till, Meyer, Mirja, Windt, Katja

“… The purpose of this paper is to exploit the availability of large-scale data sets in manufacturing by applying measures from complex network theory and from classical performance evaluation…”
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Multitwist Trajectories and Decoupling Zeros in Conformal Field Theory Autor Homrich, Alexandre, Simmons-Duffin, David, Vieira, Pedro

“…Conformal Regge theory predicts the existence of analytically continued conformal field theory data for complex spin…”
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Applying Large Graph Neural Networks to Predict Transition Metal Complex Energies Using the tmQM_wB97MV Data Set Autor Garrison, Aaron G, Heras-Domingo, Javier, Kitchin, John R, Dos Passos Gomes, Gabriel, Ulissi, Zachary W, Blau, Samuel M

“… The tmQM data set, which contains properties of 86,665 transition metal complexes calculated at the TPSSh/def2-SVP level of density functional theory (DFT…”
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The tadpole conjecture at large complex-structure Autor Plauschinn, Erik

“…A bstract The tadpole conjecture by Bena, Blåbäck, Graña and Lüst effectively states that for string-theory compactifications with a large number of complex-structure moduli, not all of these moduli can be stabilized by fluxes…”
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F-theory flux vacua at large complex structure Autor Marchesano, Fernando, Prieto, David, Wiesner, Max

“…A bstract We compute the flux-induced F-term potential in 4d F-theory compactifications at large complex structure…”
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Vibration modelling with optimized complex boundary in full-scale elastic theory for large end-winding Autor Wang, Ting, Qin, Qiyong, Zhao, Yang, Fan, Ye, Deng, Congying, Lu, Sheng

“… MW turbo-generator stator end winding, integrating composite materials theory and discrete element methods…”
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Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package Autor Donges, Jonathan F, Heitzig, Jobst, Beronov, Boyan, Wiedermann, Marc, Runge, Jakob, Feng, Qing Yi, Tupikina, Liubov, Stolbova, Veronika, Donner, Reik V, Marwan, Norbert, Dijkstra, Henk A, Kurths, Jürgen

“… in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks…”
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Evaluating the Structural Robustness of Large-Scale Emerging Industry with Blurring Boundaries Autor Li, Yang, Li, Huajiao, Guo, Sui, Liu, Yanxin

“… and complex network theory to depict the network skeleton and thus evaluate the structural robustness…”
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AIR-PolSAR-Seg: A Large-Scale Data Set for Terrain Segmentation in Complex-Scene PolSAR Images Autor Wang, Zhirui, Zeng, Xuan, Yan, Zhiyuan, Kang, Jian, Sun, Xian

“… These issues greatly restrict the development of algorithms. Therefore, there is a strong requirement for establishing a large-scale data set for terrain segmentation in complex-scene PolSAR images…”
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The imperative of physics-based modeling and inverse theory in computational science Autor Willcox, Karen E., Ghattas, Omar, Heimbach, Patrick

“…To best learn from data about large-scale complex systems, physics-based models representing the laws of nature must be integrated into the learning process…”
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Local structure can identify and quantify influential global spreaders in large scale social networks Autor Hu, Yanqing, Ji, Shenggong, Jin, Yuliang, Feng, Ling, Stanley, H Eugene, Havlin, Shlomo

“…Measuring and optimizing the influence of nodes in big-data online social networks are important for many practical applications, such as the viral marketing and the adoption of new products…”
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