Results 31 to 40 of about 4,799,990 (289)

Dense Sampling of Time Series for Forecasting

open access: yesIEEE Access, 2022
A time series contain a large amount of information suitable for forecasting. Classical statistical and recent deep learning models have been widely used in a variety of forecasting applications.
Il-Seok Oh, Jin-Seon Lee
doaj   +1 more source

Non-Uniform Time Sampling for Multiple-Frequency Harmonic Balance Computations [PDF]

open access: yes, 2013
A time-domain harmonic balance method for the analysis of almost-periodic (multi-harmonics) flows is presented. This method relies on Fourier analysis to derive an efficient alternative to classical time marching schemes for such flows.
Dufour, Guillaume   +5 more
core   +1 more source

A Novel Maximum Power Point Tracking Control Strategy for the Building Integrated Photovoltaic System

open access: yesEnergies, 2020
Thin-film photovoltaic technology has begun to be applied in building-integrated photovoltaics (BIPVs), and it is believed that thin-film photovoltaic technology has potential in building-integrated photovoltaic applications.
Yuhang Liu   +4 more
doaj   +1 more source

Impact of Inaccurate Documentation of Sampling and Infusion Time in Model-Informed Precision Dosing

open access: yesFrontiers in Pharmacology, 2020
BackgroundRoutine clinical TDM data is often used to develop population pharmacokinetic (PK) models, which are applied in turn for model-informed precision dosing.
Dzenefa Alihodzic   +7 more
doaj   +1 more source

Real-time 3D Face Recognition using Line Projection and Mesh Sampling [PDF]

open access: yes, 2011
The main contribution of this paper is to present a novel method for automatic 3D face recognition based on sampling a 3D mesh structure in the presence of noise.
Robinson, Alan, Rodrigues, Marcos
core   +1 more source

ON DISCRETE SAMPLING OF TIME-VARYING CONTINUOUS-TIME SYSTEMS [PDF]

open access: yesEconometric Theory, 2009
We consider a multivariate continuous-time process, generated by a system of linear stochastic differential equations, driven by white noise, and involving coefficients that possibly vary over time. The process is observable only at discrete, but not necessarily equally-spaced, time points (though equal spacing significantly simplifies matters).
openaire   +4 more sources

Research on model predictive control model in application of shearer height-adjusting system

open access: yesGong-kuang zidonghua, 2018
In view of the problems of lower stability and poor precision existed in present shearer height-adjustment system, which used electromagnetic switch valve to adjust height of drum, a model predictive control model of the shearer height-adjustment system ...
ZHANG Sihan, LIU Zhenjian, QIU Jinbo
doaj   +1 more source

Importance Sampling for Time-Variant Reliability Analysis

open access: yesIEEE Access, 2021
Importance sampling methods are extensively used in time-independent reliability analysis. However, the kind of methods is barely studied in the field of time-variant reliability analysis.
Jian Wang, Runan Cao, Zhili Sun
doaj   +1 more source

Space-Time Sampling for Network Observability

open access: yes, 2018
Designing sparse sampling strategies is one of the important components in having resilient estimation and control in networked systems as they make network design problems more cost-effective due to their reduced sampling requirements and less fragile ...
Motee, Nader   +2 more
core   +1 more source

Time interleaved optical sampling for ultra-high speed A/D conversion [PDF]

open access: yes, 1998
A scheme is proposed for increasing the sampling rate of analogue-to-digital conversion by more than an order of magnitude by combining state-of-the-art A/D converters with photonic technology.
Koumans, R. G. M. P., Yariv, A.
core   +1 more source

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