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From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis [PDF]
, 2013 This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a data-processing system on the basis of information redundancy, in which
Dai, Xuewu, Gao, Zhiwei
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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 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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Data of paper: Multicolor X-rays from free electron-driven van der Waals heterostructures
, 2023 Data of paper: Multicolor X-rays from free electron-driven van der Waals ...
Duan, Ruihuan +6 more
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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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Modeling Water Quality Parameters Using Data-driven Methods
مجله آب و خاک, 2017 Introduction: Surface water bodies are the most easily available water resources. Increase use and waste water withdrawal of surface water causes drastic changes in surface water quality.
Shima Soleimani +2 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 Method to Quantify Correlated Uncertainties
IEEE Access, 2023 Polynomial chaos (PC) has been proven to be an efficient method for uncertainty quantification, but its applicability is limited by two strong assumptions: the mutual independence of random variables and the requirement of exact knowledge about the distribution of the random variables.
Jeahan Jung, Minseok Choi
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Advances in Trajectory Prediction for High-Speed UAVs: A Review
DronesHigh-speed Unmanned Aerial Vehicles (UAVs), characterized by high velocity and maneuverability, represent critical strategic threats within the aerospace security domain.
Wenqin Han +3 more
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