Machine learning on small size samples: A synthetic knowledge synthesis

Kokol, Peter; Kokol, Marko; Zagoranski, Sašo

doi:10.1177/00368504211029777

Cited by 138 publications

(81 citation statements)

References 87 publications

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“…Herein, the optimal time-step works similarly to a threshold value that can provide the best depth prediction based on the information of the 1 mm delamination. This optimal time-step of defectfree reference aims to make the depth error of 1mm delamination reference point equals to zero based on its Small Size Sample (SSS) that may improve the evaluation [42][43][44]. In this research, SSS is used to check the improvement of the depth estimation once limited knowledge about the delamination is provided.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Delamination Under Insulation Using Ridge Waveguide

et al. 2022

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Insulation has been widely used to protect metal substrates in various industries such as turbine blades and oil and gas pipelines. Due to aging and cyclic processes, delamination between the metal component and insulation could grow. Such defects represent a critical problem that may result in catastrophic failure of the asset. Therefore, detecting and evaluating delaminated areas is mandatory for providing urgent maintenance solutions before the failure occurrence. In this paper, microwave nondestructive technique (NDT) is proposed for delamination detection and thickness estimation under dielectric insulation. In microwave NDT, the electromagnetic waves are induced into the dielectric material's surface using a ridge waveguide. The complex reflection coefficients are acquired using a vector network analyzer for further analysis in the time domain. Next, a time-domain reflectometry (TDR) technique-based inverse discrete Fourier transform is used to evaluate the complex reflection coefficients in terms of delamination's size and thickness estimation. The delamination evaluation is performed by measuring the maximum peak's time-step variations instead of the magnitude reduction in conventional TDR techniques in terms of the defect and defect-free reflections. Next, a comparison is made between implementing the proposed technique using a ridge waveguide and a regular rectangular waveguide. The results prove the superiority of using the ridge waveguide for delamination evaluation in terms of sizing and thickness with a minimum error rate of 5% and 7.87%, respectively. These novel results of ridge waveguide due to its small aperture and relatively wide bandwidth. The microwave NDT technique reported here could provide a predictive maintenance tool for many industries to minimize the maintenance effort and cost.

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Section: Resultsmentioning

confidence: 99%

Assessment of Delamination Under Insulation Using Ridge Waveguide

et al. 2022

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“…Bibliometrics can be also used as a part of synthetic knowledge synthesis—a combination of bibliometric mapping and content analysis ( 11 ). Unlike traditional and more formal knowledge synthesis methods (such as meta-analysis, systematic or literature reviews, to name a few), which are usually performed manually, are labor intensive and are usually limited to a relatively small number of publications (typically <100 publications).…”

Section: Methodsmentioning

confidence: 99%

Lipoprotein(a) in Cardiovascular Diseases: Insight From a Bibliometric Study

Suran

Vošner²,

Završnik³

et al. 2022

Front. Public Health

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Lipoprotein(a) [Lp(a)] is a complex polymorphic lipoprotein comprised of a low-density lipoprotein particle with one molecule of apolipoprotein B100 and an additional apolipoprotein(a) connected through a disulfide bond. The serum concentration is mostly genetically determined and only modestly influenced by diet and other lifestyle modifications. In recent years it has garnered increasing attention due to its causal role in pre-mature atherosclerotic cardiovascular disease and calcific aortic valve stenosis, while novel effective therapeutic options are emerging [apolipoprotein(a) antisense oligonucleotides and ribonucleic acid interference therapy]. Bibliometric descriptive analysis and mapping of the research literature were made using Scopus built-in services. We focused on the distribution of documents, literature production dynamics, most prolific source titles, institutions, and countries. Additionally, we identified historical and influential papers using Reference Publication Year Spectrography (RPYS) and the CRExplorer software. An analysis of author keywords showed that Lp(a) was most intensively studied regarding inflammation, atherosclerosis, cardiovascular risk assessment, treatment options, and hormonal changes in post-menopausal women. The results provide a comprehensive view of the current Lp(a)-related literature with a specific interest in its role in calcific aortic valve stenosis and potential emerging pharmacological interventions. It will help the reader understand broader aspects of Lp(a) research and its translation into clinical practice.

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“…Although healthcare organisations can be considered as complex adaptive systems ( 16 ) and agile software development (ASD) is increasingly becoming used in developing safety-critical or regulated software ( 17 ), there is limited evidence about the use of ASD in DHSW development. Using a synthetic knowledge synthesis approach ( 18 ), we reviewed all 248 publications concerning ASD use in DHSW development.…”

Section: Limited Adoption Of Asd In the Digital Health Transformationmentioning

confidence: 99%

“…As in the DHSW, we used a synthetic knowledge synthesis approach ( 18 ) to analyse 210 publications about agile management in digital health found in the PubMed bibliographic database to determine the volume and content of research in this area. We used the search string agile AND management AND (health OR medicine) .…”

Section: Agile Beyond Dhsw Developmentmentioning

confidence: 99%

Role of Agile in Digital Public Health Transformation

Kokol

Vošner

Kokol

et al. 2022

Front. Public Health

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The digitalisation of healthcare, fueled by advances in technology and the COVID-19 pandemic can not only empower equitable access to global expert-level healthcare but also make healthcare more patient-centric. Every digital health solution has one common fundamental component: they all run on computing platforms and are powered by complex software. Traditional software development life cycles have often failed in designing complex software; consequently, the agile approach was introduced. To assess the role of agile in digital public health transformation, we used the synthetic knowledge synthesis, a triangulation of bibliometric mapping, and thematic analysis to analyse the available literature harvested from PubMed. The analysis showed that the use of the agile approach is underutilised in developing digital health software. Moreover, the study revealed that health organisations did not yet embrace the agile culture and should adapt using innovative agile solutions to deliver clinical value to patients and public health systems. Following the software industry, where agile software development is becoming the mainstream approach also for sensitive and regulated software, it is becoming even more essential that the digital health software development process should be modernised. Furthermore, a shift to agile collaboration, agile decision-making, trial tolerance, active engagement, purposeful technology adoption, knowledge sharing, and an open agile innovation ecosystem must be achieved.

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Machine learning on small size samples: A synthetic knowledge synthesis

Cited by 138 publications

References 87 publications

Assessment of Delamination Under Insulation Using Ridge Waveguide

Assessment of Delamination Under Insulation Using Ridge Waveguide

Lipoprotein(a) in Cardiovascular Diseases: Insight From a Bibliometric Study

Role of Agile in Digital Public Health Transformation

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