A study on the role of computers in adult education

Giannoukos, Georgios; Georgios, Besas; Hioctour, Vasilios; Göen, Thomas

doi:10.5897/err2016.2688

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…However, when the number of reference projections is large, the correction efficiency may be reduced. The current common approaches are to use image alignment methods (e.g., ECC [24], single-step DFT algorithm [25], SURF [26], and variants of SURF [27,28]) to accelerate the correction.…”

Section: Drift Artifacts Correction Methods Based On Reference Projec...mentioning

confidence: 99%

“…The proposed method is compared with the mainstream methods for nanoCT drift artifacts correction, which are reference-projections-based methods. ECC [24] and single-step DFT algorithm [25] use projection intensity to align projections. LPM [27] and RANSAC [28] are variants of SURF that eliminate outliers from the original features (extracted by SURF) to achieve accurate projection alignment.…”

Section: Experiments Settingmentioning

confidence: 99%

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Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips

Liu

Han

et al. 2022

Entropy

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The resolution of 3D structure reconstructed by laboratory nanoCT is often affected by changes in ambient temperature. Although correction methods based on projection alignment have been widely used, they are time-consuming and complex. Especially in piecewise samples (e.g., chips), the existing methods are semi-automatic because the projections lose attenuation information at some rotation angles. Herein, we propose a fast correction method that directly processes the reconstructed slices. Thus, the limitations of the existing methods are addressed. The method is named multiscale dense U-Net (MD-Unet), which is based on MIMO-Unet and achieves state-of-the-art artifacts correction performance in nanoCT. Experiments show that MD-Unet can significantly boost the correction performance (e.g., with three orders of magnitude improvement in correction speed compared with traditional methods), and MD-Unet+ improves 0.92 dB compared with MIMO-Unet in the chip dataset.

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Section: Drift Artifacts Correction Methods Based On Reference Projec...mentioning

confidence: 99%

Section: Experiments Settingmentioning

confidence: 99%

Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips

Liu

Han

et al. 2022

Entropy

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show abstract

“…If the number of data points in the ith dimension in the data space is N , the mean square deviation is S, the mean value is Xi , and the attribute accuracy is δ i , the attribute accuracy calculation method is as follows [5]:…”

Section: Extraction and Filtering Of Association Rulesmentioning

confidence: 99%

Big Data Mining Method of New Retail Economy Based on Association Rules

Liu¹

2022

Atlantis Highlights in Intelligent Systems

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There are many sparse items in the data of new retail industry, and the extracted association rules are redundant, which leads to the problems of low temporal and spatial efficiency and poor mining quality when applied to the data mining of new retail economy. In order to improve the quality of data mining, a new retail economy big data mining method based on association rules is proposed. The k-means algorithm is used to subdivide the customer groups under the new retail economic model and extract the corresponding data association rules. Introduce interest threshold to filter association rules. The weight of frequent set is introduced to establish frequent item tree, and FP-Growth algorithm is improved to realize big data mining of new retail economy. Simulation results show that when the proposed data mining method is applied to the big data processing of the new retail economy, the execution efficiency and execution quality are improved by at least 27.5%.

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“…10 Other reports also support our study outcomes. [11][12][13] In contrast to this statement, a Cochrane database in 2013 concluded that no amniotomy should be done routinely. The review included 15 studies on 5583 women.…”

Section: Effect On Neonatal Outcomementioning

confidence: 99%

Study of Women in Labor with Artificial Rupture of Membranes and its Effect on the Duration of Labor

Mahadik

Sharma

Patidar

2022

CIJMR

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In a venture to reduce maternal mortality especially by post-partumhemorrhage and prolonged and protracted labor many labor room procedures are in practice. The purpose of this study is to compare laborers with and without amniotomy concerning the duration of admission to delivery interval, mode of delivery (vaginal or cesarean), and fetal compromise in form of Apgar score.In the background of augmentation of labor by routine amniotomy in normally progressing labor, this study was carried out on 156 parous women in the Department of Obstetrics and Gynaecology at C. R. Gardi Hospital, Ujjain, Central India from January 2017 to January 2018. Doing artificial rupture of membranes at 3-4 cm dilatation was the main procedure. Results showed a definite reduction in admission to a delivery interval in primigravida and multipara (p=0.00). There was no effect on mode of delivery, the requirement of addition of oxytocin, and poor Apgar score (< 7); p-value being more than 0.05. Concluding our result findings, amniotomy as a routine procedure in the labor room helps reduce the length of labor.

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A study on the role of computers in adult education

Cited by 4 publications

References 11 publications

Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips

Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips

Big Data Mining Method of New Retail Economy Based on Association Rules

Study of Women in Labor with Artificial Rupture of Membranes and its Effect on the Duration of Labor

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