Results 21 to 30 of about 3,066,308 (139)
Frontiers in Physiology, 2013 Background: A sympathetic shift in heart rate variability (HRV) from high, beat-to-beat, to lower frequencies may be an early signal of deterioration in a monitored patient. Most chronic heart failure (CHF) patients receive ß-blockers. This tends to
Yanru eZhang +3 more
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Combining domain knowledge and statistical models in time series analysis
, 2006 This paper describes a new approach to time series modeling that combines subject-matter knowledge of the system dynamics with statistical techniques in time series analysis and regression.
Lai, Tze Leung, Wong, Samuel Po-Shing
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Fatigue life study of the door on the new-type 160 km/h railway box wagon
机车电传动, 2023 During train operation, influenced by track irregularity or random wind load, the vehicle body is continuously under the impact of random vibration loads, which will cause fatigue damage to the vehicle structure in severe cases. To ensure train operation
MA Chengcheng +3 more
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TIME Domain Analysis of Sound Signals for Bearing Damage Identification [PDF]
, 2014 Time domain analysis requires less computational time compared to the frequency domain. Analysis is performed directly on the signal without any conversion at all.
Aswin, M. (Muhammad) +3 more
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Polarization reversal and jump-like domain wall motion in stoichiometric LiTaO 3 produced by vapor transport equilibration [PDF]
, 2012 The polarization reversal and domain structure evolution has been studied in stoichiometric lithium tantalate prepared by vapor transport equilibration process.
Akhmatkhanov, A. R. +4 more
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, 2017 Domain decomposition based time integrators allow the usage of parallel and distributed hardware, making them well-suited for the temporal discretization of parabolic systems, in general, and degenerate parabolic problems, in particular.
Eisenmann, Monika, Hansen, Eskil
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Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 This article proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for identifying the five most important types of events of the Ubinas volcano, the most active volcano in Peru.
Pablo Eduardo Espinoza Lara +6 more
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Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis
, 2012 In this paper, we contribute to the literature on energy market co-movement by studying its dynamics in the time-frequency domain. The novelty of our approach lies in the application of wavelet tools to commodity market data.
Barunik, Jozef, Vacha, Lukas
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Efficient Groundness Analysis in Prolog [PDF]
, 2002 Boolean functions can be used to express the groundness of, and trace grounding dependencies between, program variables in (constraint) logic programs.
Howe, Jacob M., King, Andy
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Time domain analysis method for aerodynamic noises from wind turbine blades
Journal of Hebei University of Science and Technology, 2015 The issue of the aerodynamic noises from wind turbine blades affecting the surrounding residents life begins to attract researcher's attention. Most of the existing researches are based on CFD software or experimental data fitting method to analyze the ...
Hua ZHAO +3 more
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