Correction: Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID‑19 Diseases from CT Scans Images
Saved in:
| Published in | New generation computing Vol. 42; no. 5; pp. 1237 - 1238 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Tokyo
Springer Japan
2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Author | Uma Maheswari, V. Stephe, S. Thirumalraj, Arunadevi Aluvalu, Rajanikanth Mohanty, Sachi Nandan |
|---|---|
| Author_xml | – sequence: 1 givenname: V. surname: Uma Maheswari fullname: Uma Maheswari, V. organization: Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology – sequence: 2 givenname: S. surname: Stephe fullname: Stephe, S. organization: Department of Electronics and Communication Engineering, K. Ramakrishnan College of Engineering – sequence: 3 givenname: Rajanikanth surname: Aluvalu fullname: Aluvalu, Rajanikanth organization: Symbiosis Institute of Technology, Hyderabad Campus, Hyderabad, Symbiosis International University – sequence: 4 givenname: Arunadevi surname: Thirumalraj fullname: Thirumalraj, Arunadevi organization: Department of Computer Science Engineering, K. Ramakrishnan College of Technology – sequence: 5 givenname: Sachi Nandan orcidid: 0000-0002-4939-0797 surname: Mohanty fullname: Mohanty, Sachi Nandan email: sachinandan09@gmail.com organization: School of Computer Science and Engineering (SCOPE), VIT-AP University |
| BookMark | eNp9kE1OwzAQhS1UJNrCBVhZYh3wT5Im7GjKTySkLihsLdcZU1fULnYKoisWXIArchJcgsSOxWhGo--9Gb0B6llnAaFjSk4pIaOzQAjP0oSwWIQVabLdQ31aFCwZkSzroX5cFgnPeXaABiEsI57zlPXRR-W8B9UaZ89xtZCuNQrfydZYPHav4OfGN3i6bs3KbMHjsQzQ4IvmRVq1G2o8A7Ww5nkDAWvn8QTazg07javpQz35ev-kJZ6YAFEbIe9WuJrhOyVtwPVKPkI4RPtaPgU4-u1DdH91OatuktvpdV1d3CaKpWmbNEwVjSaSk5ypOckKVWacgMplDnncUyipyrTSXOuUFuVcKZmzAoCXhABIPkQnne_au93HrVi6jbfxpOCUpaQs81EaKdZRyrsQPGix9mYl_ZugROzSFl3aIqYtftIW2yjinShE2D6C_7P-R_UN4QeGMg |
| ContentType | Journal Article |
| Copyright | The Author(s), under exclusive licence to The Japanese Society for Artificial Intelligence and Springer Nature Japan KK, part of Springer Nature 2024 The Author(s), under exclusive licence to The Japanese Society for Artificial Intelligence and Springer Nature Japan KK, part of Springer Nature 2024. |
| Copyright_xml | – notice: The Author(s), under exclusive licence to The Japanese Society for Artificial Intelligence and Springer Nature Japan KK, part of Springer Nature 2024 – notice: The Author(s), under exclusive licence to The Japanese Society for Artificial Intelligence and Springer Nature Japan KK, part of Springer Nature 2024. |
| DBID | AAYXX CITATION |
| DOI | 10.1007/s00354-024-00284-z |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1882-7055 |
| EndPage | 1238 |
| ExternalDocumentID | 10_1007_s00354_024_00284_z |
| Genre | Correction/Retraction |
| GroupedDBID | -4Z -59 -5G -BR -EM -Y2 -~C -~X .4S .86 .DC .VR 06D 0R~ 0VY 123 1N0 2.D 203 29N 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 30V 4.4 406 408 409 40D 40E 5VS 67Z 6NX 78A 8TC 95- 95. 95~ 96X AAAVM AABHQ AACDK AAEOY AAGNY AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDBF ABDPE ABDZT ABECU ABEFU ABFTD ABFTV ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFFNX AFGCZ AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARCSS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. B0M BA0 BBWZM BDATZ BGNMA CAG COF CS3 CSCUP DDRTE DNIVK DPUIP DU5 EAD EAP EBLON EBS EDO EIOEI EJD EMK EPL ESBYG ESX FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I-F IKXTQ ITM IWAJR IZIGR I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KOV LLZTM M4Y MA- MK~ ML~ N2Q N9A NDZJH NF0 NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P9O PF0 PT4 PT5 QOK QOS R89 R9I RHV RIG RNI ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TSG TSK TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WH7 WK8 XJT YLTOR Z45 Z7X Z83 Z88 Z8R Z8W Z92 ZMTXR ~8M ~A9 AAYXX CITATION |
| ID | FETCH-LOGICAL-c244t-d2c8df0a3062cb058c9530ec6a6e6f0a1e91c5fcf3ff4189bcca628ee3900eea3 |
| IEDL.DBID | AGYKE |
| ISSN | 0288-3635 |
| IngestDate | Wed Nov 06 04:38:51 EST 2024 Wed Nov 06 13:23:19 EST 2024 Tue Nov 05 01:38:28 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c244t-d2c8df0a3062cb058c9530ec6a6e6f0a1e91c5fcf3ff4189bcca628ee3900eea3 |
| Notes | correction |
| ORCID | 0000-0002-4939-0797 |
| OpenAccessLink | https://link.springer.com/content/pdf/10.1007/s00354-024-00284-z.pdf |
| PQID | 3124099674 |
| PQPubID | 2043744 |
| PageCount | 2 |
| ParticipantIDs | proquest_journals_3124099674 crossref_primary_10_1007_s00354_024_00284_z springer_journals_10_1007_s00354_024_00284_z |
| PublicationCentury | 2000 |
| PublicationDate | 12-2024 |
| PublicationDateYYYYMMDD | 2024-01-01 |
| PublicationDate_xml | – year: 2024 text: 12-2024 |
| PublicationDecade | 2020 |
| PublicationPlace | Tokyo |
| PublicationPlace_xml | – name: Tokyo – name: Heidelberg |
| PublicationTitle | New generation computing |
| PublicationTitleAbbrev | New Gener. Comput |
| PublicationYear | 2024 |
| Publisher | Springer Japan Springer Nature B.V |
| Publisher_xml | – name: Springer Japan – name: Springer Nature B.V |
| SSID | ssj0036342 |
| Score | 2.3437588 |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Publisher |
| StartPage | 1237 |
| SubjectTerms | Artificial Intelligence Computed tomography Computer Hardware Computer Science Computer Systems Organization and Communication Networks Correction Software Engineering/Programming and Operating Systems |
| Title | Correction: Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID‑19 Diseases from CT Scans Images |
| URI | https://link.springer.com/article/10.1007/s00354-024-00284-z https://www.proquest.com/docview/3124099674 |
| Volume | 42 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT9wwEB7xuPRSChR1KaA5cCtGedhO3FvI8lhQ4dDdCk5R4tgqqnYX7YbLnjjwB_oX-SVMXqx4HTgmmViJx5757PE3A7BbZnEiN6iZK23IuAgsC71AMN8E2stzT6SiZCP_OpcnA356KS7nPO7qsHsbkawM9RPXrYx5cUYuhZXrBM5mi7DcEE-Xo-Ors8PWAPvSr2rmkFTI6EI0XJm3W3nuj-Yg80VctHI3RyvQb0k79SmTf_u3RbavZ69zOH7kT77A5wZ-YlSPl1VYMKM1WGlLO2Az09fhPi6rdlSch58Y_03HJI-_SYsjPCjrqmXXkxwvyNwMr2f03gH5whyj5jwBRj3st7lhp0iwGLumqFvDscX44k-v-3D331XYreNDJDQZDzHu0xeQ78TekMzc9CsMjg778QlrCjYwTSihYLmnw9w6KS1DPJ05ItRK-I7RMpVG0n3XKFcLq61vLXdDldHwkV5ojK8cx5jU34Cl0XhkvgG6gWO5crgbZC63tCZSjky10kFuQiWN6cCPVm3JTZ2XI3nKwFx1cEIdnFQdnMw6sNVqNmnm6DTxCdoQPpYB78Beq6n54_db2_yY-Hf45FXKLvdttmCpmNyabUIyRbbTjNwdWBx40SOoCOse |
| link.rule.ids | 315,783,787,27936,27937,41093,41535,42162,42604,52123,52246 |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELZ4DLDwRpTnDWxgKQ_bidlKCmqhhYEWsUWJY4sObVBblk4M_AH-Ir-Ec5qAQDAwJrmcIn_2fWdf7o6QY1vFCWlQUVeYkDIeGBp6Aae-DpSXZR5PuM1G7tyIZo9dPfCHMilsXP3tXoUkC0v9mexmg16MIqdQu1FgdDpPFm19dVsxv-fVK_vrC79omYMyIcULXqbK_K7jOx19-Zg_wqIF21yukZXSTYT6DNd1MqeHG2S1asEA5YrcJK-R7a5R5CacQfSY5CgPdzjaQzi3_c_S_iiDWzQLg_4U3ztHzsqgXsb9od6CblXDdQzovkJDT2baIDcQ3d63Gu8vb66ExiyOg0KjfABRF78AOQ5aAzRH4y3Su7zoRk1aNlagCtl8QjNPhZlxEtwueCp1eKgk9x2tRCK0wPuulq7iRhnfGOaGMkWYhRdq7UvH0Trxt8nCMB_qHQJu4BgmHeYGqcsM7l2kIxIlVZDpUAqta-SkGt_4aVY_I_6slFygESMacYFGPK2R_QqCuFxL49hHFwT9WBGwGjmtYPl6_Le23f-JH5GlZrfTjtutm-s9suwVs8SeteyThcnoWR-g9zFJD4vJ9gGBc9DX |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7BVkJcKE-xbYE5cAO3edhO3Ns226XbQlupW1ROUeLYokKbrXbTy5564A_wF_kljPNooYJDxTHJxHI8zsxnj-cbgLeOxYncoGa-tDHjIrIsDiLBQhPpoCgCkQmXjfzpUO6d8v0zcfZbFn992r0LSTY5DY6lqay2Lgq7dZ345gJgnJF_YW7RwNnyPqxwx4zUg5XBhy8Hu501DmVYF9AhqZjRhWgTZ_7eyp_O6QZx3gqS1r5ntApZ1-vmyMm3zcsq39TLW4SO__NZj-FRC0xx0MykJ3DPlE9htSv6gK0NeAbfE1fPo86G2MbkazYjeTwh_Za44yqu5efzAo_IEE3Pl_TeDnnJAgftSQMcjHHSscYukAAzDk3VtIYzi8nR5_Hw59UPX-GwiRyR0Hw2xWRCPSCviuMpGcDFczgd7U6SPdaWcmCa8EPFikDHhfUyWqAEOvdErJUIPaNlJo2k-75RvhZW29Ba7scqp4klg9iYUHmeMVn4AnrlrDQvAf3Is1x53I9yn1taLSlPZlrpqDCxksb04V2nw_SiYexIr7mZ6wFOaYDTeoDTZR82OjWn7d-7SEMCPYScZcT78L7T2s3jf7e2djfxN_DgeDhKP44PD9bhYVDr3W3ubECvml-aVwR3qvx1O6N_AYJt9u0 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Correction%3A+Chaotic+Satin+Bowerbird+Optimizer+Based+Advanced+AI+Techniques+for+Detection+of+COVID%E2%80%9119+Diseases+from+CT+Scans+Images&rft.jtitle=New+generation+computing&rft.au=Uma+Maheswari%2C+V.&rft.au=Stephe%2C+S.&rft.au=Aluvalu%2C+Rajanikanth&rft.au=Thirumalraj%2C+Arunadevi&rft.date=2024-01-01&rft.issn=0288-3635&rft.eissn=1882-7055&rft.volume=42&rft.issue=5&rft.spage=1237&rft.epage=1238&rft_id=info:doi/10.1007%2Fs00354-024-00284-z&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s00354_024_00284_z |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0288-3635&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0288-3635&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0288-3635&client=summon |