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pro vyhledávání: '"I. J. UDOH"'
Autor:
O. I. ALABI, O. J. FATABO, S. C. OKENU, T. A. ONIMISI, G. O. OYERINDE, I. J. UDOH, A. I. OZOEZE, A. C. EGBA
Publikováno v:
Journal of Information Sciences, Vol 23, Iss 1 (2024)
Advancements of feature extraction enable the collection of prognostic data values which can be used to distinguish between benign and malignant tumours. While single learning models are capable of making predictions, combining weak learners to form
Externí odkaz:
https://doaj.org/article/433c8610d8a54fcba53dc736f162aac5
Publikováno v:
Current Journal of Applied Science and Technology. :45-67
A terrorist group’s (TG) ability to withstand attacks and recovered from sudden high strength depreciation after a major counterterrorism operation, as well as the Security Agencies’ (SA) ability to execute successful credible counter-terrorism o
Publikováno v:
Journal of Obstetrics and Gynaecology. 22:441-442
Vulval carcinoma has a relatively low incidence worldwide compared to other genital tract tumours. In Nigeria between 1960 and 1966 it constituted 5.85 per cent of the total gynaecological cancers recorded at the Ibadan Registry (Babarinsa et al. 199