Enhancing Breast Cancer Classification based on BPSO Feature Selection and Machine Learning Techniques.
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| Title: | Enhancing Breast Cancer Classification based on BPSO Feature Selection and Machine Learning Techniques. |
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| Authors: | Ramadan, Osama I.1, o_bayyoumi@asu.edu.jo, Ali, Lashin S.2,3, lashin.saad@yahoo.com, Ramadan, Yasser4, yasserfrb@gmail.com, Abobaker, Randa M.5, randaabobakre@gmail.com, Flifel, Hoda M.6, hoda85378@gmail.com, Elkholy, Mohamed A.2, m.alkholi@ammanu.edu.jo, Abobaker, Hadaiea I.7, hadaiea.abobaker@alexu.edu.eg, Gabr, Eman M. M.7, dr_emangabr@yahoo.com, Hemdan, Ibrahim I.8, ihemdan@horus.edu.eg, Hassan, Samah A. Z.9, s.hassan@suezuni.edu.eg |
| Source: | Engineering, Technology & Applied Science Research; Jun2025, Vol. 15 Issue 3, p23907-23916, 10p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186566050 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Breast Cancer Classification based on BPSO Feature Selection and Machine Learning Techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ramadan%2C+Osama+I%2E%22">Ramadan, Osama I.</searchLink><relatesTo>1</relatesTo>, <i>o_bayyoumi@asu.edu.jo</i><br /><searchLink fieldCode="AU" term="%22Ali%2C+Lashin+S%2E%22">Ali, Lashin S.</searchLink><relatesTo>2,3</relatesTo>, <i>lashin.saad@yahoo.com</i><br /><searchLink fieldCode="AU" term="%22Ramadan%2C+Yasser%22">Ramadan, Yasser</searchLink><relatesTo>4</relatesTo>, <i>yasserfrb@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Abobaker%2C+Randa+M%2E%22">Abobaker, Randa M.</searchLink><relatesTo>5</relatesTo>, <i>randaabobakre@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Flifel%2C+Hoda+M%2E%22">Flifel, Hoda M.</searchLink><relatesTo>6</relatesTo>, <i>hoda85378@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Elkholy%2C+Mohamed+A%2E%22">Elkholy, Mohamed A.</searchLink><relatesTo>2</relatesTo>, <i>m.alkholi@ammanu.edu.jo</i><br /><searchLink fieldCode="AU" term="%22Abobaker%2C+Hadaiea+I%2E%22">Abobaker, Hadaiea I.</searchLink><relatesTo>7</relatesTo>, <i>hadaiea.abobaker@alexu.edu.eg</i><br /><searchLink fieldCode="AU" term="%22Gabr%2C+Eman+M%2E+M%2E%22">Gabr, Eman M. M.</searchLink><relatesTo>7</relatesTo>, <i>dr_emangabr@yahoo.com</i><br /><searchLink fieldCode="AU" term="%22Hemdan%2C+Ibrahim+I%2E%22">Hemdan, Ibrahim I.</searchLink><relatesTo>8</relatesTo>, <i>ihemdan@horus.edu.eg</i><br /><searchLink fieldCode="AU" term="%22Hassan%2C+Samah+A%2E+Z%2E%22">Hassan, Samah A. Z.</searchLink><relatesTo>9</relatesTo>, <i>s.hassan@suezuni.edu.eg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Jun2025, Vol. 15 Issue 3, p23907-23916, 10p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186566050 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.10900 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 23907 Titles: – TitleFull: Enhancing Breast Cancer Classification based on BPSO Feature Selection and Machine Learning Techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ramadan, Osama I. – PersonEntity: Name: NameFull: Ali, Lashin S. – PersonEntity: Name: NameFull: Ramadan, Yasser – PersonEntity: Name: NameFull: Abobaker, Randa M. – PersonEntity: Name: NameFull: Flifel, Hoda M. – PersonEntity: Name: NameFull: Elkholy, Mohamed A. – PersonEntity: Name: NameFull: Abobaker, Hadaiea I. – PersonEntity: Name: NameFull: Gabr, Eman M. M. – PersonEntity: Name: NameFull: Hemdan, Ibrahim I. – PersonEntity: Name: NameFull: Hassan, Samah A. Z. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 15 – Type: issue Value: 3 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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