Results 11 to 20 of about 1,555,240 (261)
Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods
IEEE Access, 2021 The convergence of legacy power system components with advanced networking and communication facilities have led towards the development of smart grids.
Ahlam Althobaiti +3 more
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Data‐driven execution of fast multipole methods [PDF]
Concurrency and Computation: Practice and Experience, 2013 SUMMARYFast multipole methods (FMMs) havecomplexity, are compute bound, and require very little synchronization, which makes them a favorable algorithm on next‐generation supercomputers. Their most common application is to accelerateN‐body problems, but they can also be used to solve boundary integral equations.
Hatem Ltaief, Rio Yokota
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Application of Data Driven Methods for Condition Monitoring Maintenance
Chemical Engineering Transactions, 2013 Nowadays, there is an increasing demand for Condition Based Maintenance (CBM) activities as time-directed maintenance are observed to be inefficient in many situations.
I. Marton +3 more
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International Journal of Prognostics and Health Management, 2016 In the 2015 PHM Data Challenge Competition, the goal of the competition problem was to diagnose failure of industrial plant systems using incomplete data. The available data consisted of sensor measurements, control reference signals, and fault logs.
Hyunjae Kim +7 more
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Predictive Equations for Estimation of the Slump of Concrete Using GEP and MARS Methods [PDF]
Journal of Soft Computing in Civil EngineeringThis paper developed two robust data-driven models, namely gene expression programming (GEP) and multivariate adaptive regression splines (MARS), for the estimation of the slump of concrete (SL). The main feature of the proposed data-driven methods is to
Ismail Husein +5 more
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Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Sensors, 2022 Diabetes mellitus is a chronic condition characterized by a disturbance in the metabolism of carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is hyperglycemia, i.e., elevated blood sugar levels.
Elias Dritsas, Maria Trigka
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Data-Driven State Fragility Index Measurement Through Classification Methods
Frontiers in Physics, 2022 As environmental changes cause a series of complex issues and unstable situation, exploring the impact of environmental changes is essential for national stability, which is helpful for early warning and provides guidance solutions for a country.
Xin Li +3 more
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Optimal Data-Generation Strategy for Machine Learning Yield Functions in Anisotropic Plasticity
Frontiers in Materials, 2022 Trained machine learning (ML) algorithms can serve as numerically efficient surrogate models of sophisticated but numerically expensive constitutive models of material behavior. In the field of plasticity, ML yield functions have been proposed that serve
Ronak Shoghi, Alexander Hartmaier
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Data-Driven Software Security: Models and Methods [PDF]
2016 IEEE 29th Computer Security Foundations Symposium (CSF), 2016 Proceedings of the 29th IEEE Computer Security Foundations Symposium (CSF'16), Lisboa, PORTUGAL, June ...
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Nonparametric Method for Data-driven Image Captioning [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014 We present a nonparametric density estimation technique for image caption generation. Data-driven matching methods have shown to be effective for a variety of complex problems in Computer Vision. These methods reduce an inference problem for an unknown image to finding an existing labeled image which is semantically similar. However, related approaches
Rebecca Mason, Eugene Charniak
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