Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ezeife, C. A."'
Publikováno v:
Drug & Chemical Toxicology. Sep2022, Vol. 45 Issue 5, p1978-1985. 8p.
Autor:
Nasir, Mahreen, Ezeife, C. I.
Publikováno v:
International Journal of Data Science & Analytics; Jan2023, Vol. 15 Issue 1, p67-91, 25p
Akademický článek
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Publikováno v:
Social Network Analysis & Mining; 11/20/2021, Vol. 11 Issue 1, p1-25, 25p
Autor:
Nasir, Mahreen, Ezeife, C. I.
Publikováno v:
International Journal of Data Science and Analytics; 20220101, Issue: Preprints p1-25, 25p
Autor:
Mabroukeh, Nizar R.1 mabrouk@uwindsor.ca, Ezeife, C. I.1 cezeife@uwindsor.ca
Publikováno v:
ACM Computing Surveys. Nov2010, Vol. 43 Issue 1, p3-3:41. 41p. 10 Diagrams, 12 Charts, 1 Graph.
Autor:
Nasir, Mahreen, Ezeife, C. I.
Publikováno v:
SN Computer Science; November 2023, Vol. 4 Issue: 6
Autor:
Akosile, C. O., Babatunde Adegoke, Ezeife, C. A., Maruf, F. A., Ibikunle, P. O., Johnson, O. E., Ihudiebube-Splendor, C., Dada, O. O.
Publikováno v:
African Journal of Neurological Sciences; Vol 32, No 1 (2013); 19-25
Scopus-Elsevier
Scopus-Elsevier
BackgroundQuality of Life (QOL) studies in stroke among Africans are rather few and mainly from South-Western Nigeria. Hardly is there any from the other regions of this vast nation. Reports on gender influences on stroke survivors’ QOL have also b
Publikováno v:
Computer Science Publications
National statistics confirm that nowadays about 20% of school children have some type of mental health issue, about 70% of adult mental health disorders originated in adolescence, while about 40% have unidentified learning differences that affect the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2870::2e417b6569e0380701d7e685fedb99c2
https://scholar.uwindsor.ca/computersciencepub/45
https://scholar.uwindsor.ca/computersciencepub/45
Autor:
Annoni, E., Ezeife, C. I.
Publikováno v:
Computer Science Publications
Traditionally, mining web page contents involves modeling their contents to discover the underlying knowledge. Data extraction proposals represent web data in a formal structure such as database structures specific to application domains. Those model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2870::190868ec119a109fdb8de5a8721c8b7f
https://scholar.uwindsor.ca/computersciencepub/32
https://scholar.uwindsor.ca/computersciencepub/32