Results 181 to 190 of about 17,761 (290)
Abstract Failure of buried pipelines can result in serious impacts, such as explosions, environmental contamination, and economic losses. Early detection and location of unexpected events is crucial to prevent such events. However, conventional monitoring methods exhibit limited generalization performance under varying environmental and operational ...
Sun‐Ho Lee+2 more
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A General Local Reconstruction Approach Based on a Truncated Hilbert Transform [PDF]
Yangbo Ye+3 more
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Deep learning for computer vision in pulse‐like ground motion identification
Abstract Near‐fault pulse‐like ground motions can cause severe damage to long‐period engineering structures. A rapid and accurate identification method is essential for seismic design. Deep learning offers a solution by framing pulse‐like motion identification as an image classification task.
Lu Han, Zhengru Tao
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ABSTRACT Pulses provide myriad health benefits and are advantageous in an environmental context as a result of their leguminous nature. However, phytopathogenic fungi, oomycetes and bacteria pose a substantial threat to pulse production, at times leading to crop failure.
Stacy D. Singer+6 more
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ABSTRACT We explore the consequences of a natural and well‐motivated modeling assumption of Bayesian epistemology, according to which the objects of credence are sentences in the agent's language. We show that this assumption is inconsistent with two further natural Bayesian idealizations: those of Logical Perfection (the logical‐deductive consistency ...
John Hawthorne, Juhani Yli‐Vakkuri
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A sufficient condition for the boundedness of operator-weighted martingale transforms and Hilbert transform [PDF]
Sandra Pot
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ABSTRACT An investigation of allogenic forcings on shallow‐marine strata of the Miocene–Pliocene Kueichulin Formation, Taiwan Western Foreland Basin, reveals that shifts in palaeoenvironments were strongly controlled by: (1) orogenesis and basin subsidence, (2) precession‐driven hydroclimate and (3) obliquity‐driven atmospheric and ocean circulation ...
Amy I. Hsieh+7 more
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Entropy encoding, Hilbert space, and Karhunen-Loève transforms [PDF]
Palle E. T. Jørgensen, Myung-Sin Song
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Abstract Stein operators allow one to characterize probability distributions via differential operators. Based on these characterizations, we develop a new method of point estimation for marginal parameters of strictly stationary and ergodic processes, which we call Stein's Method of Moments (SMOM). These SMOM estimators satisfy the desirable classical
Bruno Ebner+4 more
wiley +1 more source