Výsledky vyhledávání - Application of Complex Models with Large-scale Data

Optimizing Water Allocation and Industry Structure: A Multi-Scenario Comparison by Using Interval Fuzzy Multi-Level Programming Model Autor Ma, Chunxiao, Bai, Ruxin, Wang, Shifu, Yan, Zhiqiang, Shi, Haochen

“… from computational complexity and limited data sample selection. Integrating interval fuzzy satisfaction theory into a multi-level programming framework, the model is applied…”
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On the development of time period and mode choice models for use in large scale modelling forecasting systems Autor Hess, Stephane, Daly, Andrew, Rohr, Charlene, Hyman, Geoff

“… Many of these models tend to be far too complex and far too data intensive to be of use for application in large scale model forecasting systems, where socio-economic detail is limited and detailed…”
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Constructing large-scale complex aquifer systems with big well log data: Louisiana model Autor Vahdat-Aboueshagh, Hamid, Tsai, Frank T.-C.

“…This study introduces a lithofacies modeling method to construct a complex Louisiana stratigraphy model up to depth of 900…”
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Inversion of large-scale gravity data with application of VNet Autor Huang, R, Zhang, Y, Vatankhah, S, Liu, S, Qi, R

“…SUMMARY Inversion of large-scale gravity data set is generally a challenging problem due to memory requirements and computational costs…”
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Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data Autor Bonczak, Bartosz, Kontokosta, Constantine E.

“… In this study, we demonstrate the application of point-based voxelization techniques to extract design parameters in complex urban environments at unprecedented scale using New York City…”
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Neural parameter calibration for large-scale multiagent models Autor Gaskin, Thomas, Pavliotis, Grigorios A, Girolami, Mark

“…Computational models have become a powerful tool in the quantitative sciences to understand the behavior of complex systems that evolve in time…”
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Space–time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems Autor Choi, Youngsoo, Brown, Peter, Arrighi, William, Anderson, Robert, Huynh, Kevin

“…•A new type of reduced order model for Boltzmann transport equations.•Application of the space…”
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More Complex is Not Necessarily Better in Large-Scale Hydrological Modeling: A Model Complexity Experiment across the Contiguous United States Autor Merz, Ralf, Miniussi, Arianna, Basso, Stefano, Petersen, Karl-Jonas, Tarasova, Larisa

“… However, little is known on the optimal model complexity for large-scale applications. In a modeling experiment across 700 catchments in the contiguous United States, we analyze the performance of a conceptual (bucket style…”
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Machine learning in geo- and environmental sciences: From small to large scale Autor Tahmasebi, Pejman, Kamrava, Serveh, Bai, Tao, Sahimi, Muhammad

“… In recent years significant breakthroughs in exploring big data, recognition of complex patterns, and predicting intricate variables have been made…”
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Fluid–structure interaction simulation of floating structures interacting with complex, large-scale ocean waves and atmospheric turbulence with application to floating offshore wind turbines Autor Calderer, Antoni, Guo, Xin, Shen, Lian, Sotiropoulos, Fotis

“…We develop a numerical method for simulating coupled interactions of complex floating structures with large-scale ocean waves and atmospheric turbulence…”
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A Novel Large-Scale 3D Printing Apparatus for Complex Geological Models and Its Application Autor Mei, Shi-Ming, Li, Zheng-Wei, He, Ben-Guo, Song, Jia-Qi, Zhang, Ming-Yu, Zhang, Wei

“…This paper presents a novel large-scale 3D printing apparatus for fabricating complex geological models…”
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A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank Autor Qian, Junyang, Tanigawa, Yosuke, Du, Wenfei, Aguirre, Matthew, Chang, Chris, Tibshirani, Robert, Rivas, Manuel A., Hastie, Trevor

“… However, the large-scale and ultrahigh dimension seen in the UK Biobank pose new challenges for applying the lasso method, as many existing algorithms and their implementations…”
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Evaluation of Generalized Born Models for Large Scale Affinity Prediction of Cyclodextrin Host-Guest Complexes Autor Zhang, Haiyang, Yin, Chunhua, Yan, Hai, van der Spoel, David

“…) free energy calculations with four GB models (GB , GB , GB I, and GB II) and to experimental data…”
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A Mobile Robotic Measurement System for Large-scale Complex Components Based on Optical Scanning and Visual Tracking Autor Wang, Jinshan, Tao, Bo, Gong, Zeyu, Yu, Supu, Yin, Zhouping

“…•A mobile robotic measurement system for large-scale complex components is proposed…”
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Multi-fidelity classification using Gaussian processes: Accelerating the prediction of large-scale computational models Autor Sahli Costabal, Francisco, Perdikaris, Paris, Kuhl, Ellen, Hurtado, Daniel E.

“… However, there are situations when data is scarce and expensive to acquire. This is the case of studies that rely on state-of-the-art computational models which typically take days to run, thus hindering the potential of machine learning tools…”
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Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application Autor Tian, Shiqi, Zhong, Yanfei, Zheng, Zhuo, Ma, Ailong, Tan, Xicheng, Zhang, Liangpei

“… to data-driven deep learning methods. Deep learning methods have huge advantages in the application of remote sensing big data, by virtue of their huge feature extraction and expression capabilities…”
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Application of de Novo Sequencing to Large-Scale Complex Proteomics Data Sets Autor Devabhaktuni, Arun, Elias, Joshua E

“… Here, we present novel metrics for benchmarking de novo sequencing algorithm performance on large-scale proteomics data sets and present a method for accurately calibrating false discovery rates on de novo results…”
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Water and energy demand forecasting in large-scale water distribution networks for irrigation using open data and machine learning algorithms Autor Gonzalez Perea, Rafael, Ballesteros, Rocío, Ortega, José F., Moreno, Miguel Ángel

“…•The model automatically builds a water and energy forecasting.•WatergyForecaster combines AI, satellite, and climate data…”
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CGBack: Diffusion Model for Backmapping Large-Scale and Complex Coarse-Grained Molecular Systems Autor Ugarte La Torre, Diego, Sugita, Yuji

“…Molecular dynamics simulations based on coarse-grained (CG) models are used to accelerate conformational dynamics of biomolecules and other chemical systems with reduced computational costs…”
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Data‐Driven Prediction of Turbulent Flow Statistics Past Bridge Piers in Large‐Scale Rivers Using Convolutional Neural Networks Autor Zhang, Zexia, Flora, Kevin, Kang, Seokkoo, Limaye, Ajay B., Khosronejad, Ali

“… We train the CNNs using a data set obtained from LES of the flood flow in a large‐scale river with three bridge piers—a training testbed…”
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