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About 10,000 papers for “Data processing”

Data Processing

Caitlin M. Fausey, Jennifer K. Mendoza · OSF Preprints (OSF Preprints) · 2019

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Data processing

Pazvakawambwa, L · UNAM Scholarly Repository (University of Namibia) · 2016

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Data processingThe central computer installations, one of the largest computer centres in the world.It is built around a CDC 7600 and handles a large pro portion of the data processing required in the analysis of the results of the CERN particle physics experiments.

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Data Processing

Cristobal Young, Erin Cumberworth · Cambridge University Press eBooks · 2025

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Data Processing

Kamwi, I.S · UNAM Scholarly Repository (University of Namibia) · 2023

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Processing Data

2023

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Data Processing

2025

The digital nature of the acquired data is discussed and quadrature detection is explained from the point of view of two detectors out of phase with each other by 90°. The 2D transform is discussed using the T1 inversion recovery experiment as an aid to visualising how it works. Window functions are explored and their effects on the spectrum are examined. Zero filling, digital filtering, oversampling and phase correction are each investigated. The enhancement of the resolution of the spectrum using linear prediction is shown with examples.

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Data Processing

K. N. Dodd · 1969

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Data Processing

M Saeed Sheikh · 1984

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Data Processing

Tim Akrill, Stephen Osmond · 1991

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Processing data

Pancholi, Vivek · Mendeley Data · 2018

There are two data in the “data availability” file. First one is displacement of the deformed tracer through the depth of the processed material. Second data is strain measurement through the depth of the processed material. The strain was calculated by measuring the thickness of the tracer before and after the process.

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Data processing

DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)

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Data processing

John M. Salzer · 1960

Looking into the future of data processing technology, it is possible to identify major trends in specific areas, viz., components and circuits, data systems and equipments, programming and language problems, human factors and overall system design, and learning and cerebral systems. The real advances and the real broadening of the field are directly tied to our ability to make data processing machines more truly the direct extensions of the human intellectual process.

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Data processing

Kasran, Sarah, De Houwer, Jan, Hughes, Sean · Open Science Framework · 2021

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Data Processing

Adam P. Tashman · 2024

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Data Processing

2024

Data Processing IntroductionIn any simulation project, input data are essential for both model development and simulation execution.This process involves the collection of input data which can be sourced from historical records or obtained through real-time measurements.Analyzing these data involves identifying the theoretical distribution that represents them.A common question raised by non-specialists when initiating a simulation project is why fitting data to a theoretical distribution is necessary if the data have already been collected.The basic reason is that only a sample of the actual data distribution is collected and some values are not observed; this does not mean that they do not actually exist in the system.Fitting the observed data to a theoretical distribution allows for the utilization of any value from that distribution in the simulation model.This approach is much more realistic situation than driving the simulation with only observed data values.Collecting input data is often considered the most difficult process in conducting a simulation modeling and analysis project.This is partly because the simulation analyst may be dependent on people and operations outside the project over which there is no control.In other situations, the required input data may not even exist.This situation is frequently encountered when the project involves the analysis of new capital equipment.

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