Fusing KANs with U-Net for Robust Skin Lesion Segmentation Under Complex Interferences.
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| Title: | Fusing KANs with U-Net for Robust Skin Lesion Segmentation Under Complex Interferences. |
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| Authors: | Hui, Qinglei1 ratih.an@ftmm.unair.ac.id, Zhao, Rong2 indah.fahmiyah@ftmm.unair.ac.id, Salsabila, Shiba3 shiba.salsabilla-2022@ftmm.unair.ac.id, Prijantika, Cindashany4 diana.nurlaily@lecturer.itk.ac.id, Nurlaily, Diana |
| Source: | IAENG International Journal of Applied Mathematics. Jul2026, Vol. 56 Issue 7, p2928-2936. 28p. |
| Subjects: | Human fertility statistics |
| Abstract: | This paper studies the birth data from the Indonesia Demographic and Health Survey. The focus is on the women's birth intervals between the first and second births, and on explanatory variables including the age of women at first birth, total children ever born, number of dead children, Education level of women, household wealth, residence type, and geographical location. The survival analysis methods Kaplan-Meier, Cox Proportional Hazards, and Stratified Cox are used to analyze birth interval data subject to right censoring. The cohort of women was divided into three groups based on the women's birth years, i.e., 1960s, 1970s, and 1980s. These studies were used to examine whether women's intergenerational relationships exhibit a distinct characteristic. Due to truncation, the results for women are contrary to common sense. We found that the younger cohort of women gives birth more frequently than the older cohort. Compared to the Cox PH, the Stratified Cox based on a Geographic pattern performs better. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195026922 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fusing KANs with U-Net for Robust Skin Lesion Segmentation Under Complex Interferences. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hui%2C+Qinglei%22">Hui, Qinglei</searchLink><relatesTo>1</relatesTo><i> ratih.an@ftmm.unair.ac.id</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Rong%22">Zhao, Rong</searchLink><relatesTo>2</relatesTo><i> indah.fahmiyah@ftmm.unair.ac.id</i><br /><searchLink fieldCode="AR" term="%22Salsabila%2C+Shiba%22">Salsabila, Shiba</searchLink><relatesTo>3</relatesTo><i> shiba.salsabilla-2022@ftmm.unair.ac.id</i><br /><searchLink fieldCode="AR" term="%22Prijantika%2C+Cindashany%22">Prijantika, Cindashany</searchLink><relatesTo>4</relatesTo><i> diana.nurlaily@lecturer.itk.ac.id</i><br /><searchLink fieldCode="AR" term="%22Nurlaily%2C+Diana%22">Nurlaily, Diana</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Jul2026, Vol. 56 Issue 7, p2928-2936. 28p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Human+fertility+statistics%22">Human fertility statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper studies the birth data from the Indonesia Demographic and Health Survey. The focus is on the women's birth intervals between the first and second births, and on explanatory variables including the age of women at first birth, total children ever born, number of dead children, Education level of women, household wealth, residence type, and geographical location. The survival analysis methods Kaplan-Meier, Cox Proportional Hazards, and Stratified Cox are used to analyze birth interval data subject to right censoring. The cohort of women was divided into three groups based on the women's birth years, i.e., 1960s, 1970s, and 1980s. These studies were used to examine whether women's intergenerational relationships exhibit a distinct characteristic. Due to truncation, the results for women are contrary to common sense. We found that the younger cohort of women gives birth more frequently than the older cohort. Compared to the Cox PH, the Stratified Cox based on a Geographic pattern performs better. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 2928 Subjects: – SubjectFull: Human fertility statistics Type: general Titles: – TitleFull: Fusing KANs with U-Net for Robust Skin Lesion Segmentation Under Complex Interferences. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hui, Qinglei – PersonEntity: Name: NameFull: Zhao, Rong – PersonEntity: Name: NameFull: Salsabila, Shiba – PersonEntity: Name: NameFull: Prijantika, Cindashany – PersonEntity: Name: NameFull: Nurlaily, Diana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 7 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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