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ORCIDTinuke Omolewa Oladele
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2020 – today
- 2023
[j2]Oluwafisayo Babatope Ayoade
, Tinuke Omolewa Oladele, Agbotiname Lucky Imoize, Jerome Adetoye Adeloye, Joseph Bamidele Awotunde, Segun Omotayo Olorunyomi, Olusola Theophilus Faboya, Ayorinde Oladele Idowu:
An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears. EAI Endorsed Trans. Pervasive Health Technol. 9(1) (2023)- 2020
- [j1]Anthonia Aderonke Kayode, Noah Oluwatobi Akande, Saheed O. Jabaru, Tinuke Omolewa Oladele:
An Empirical Investigation of the Prevalence of Osteoarthritis in South West Nigeria: A Population-Based Study. Int. J. Online Biomed. Eng. 16(1): 100-114 (2020) - [c4]Jide Kehinde Adeniyi, Tinuke Omolewa Oladele, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Tunde Taiwo Adeniyi:
A Multiple Algorithm Approach to Textural Features Extraction in Offline Signature Recognition. EMCIS 2020: 541-552 - [c3]Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde, Marion Olubunmi Adebiyi, Jide Kehinde Adeniyi:
Diagmal: A Malaria Coactive Neuro-Fuzzy Expert System. ICCSA (6) 2020: 428-441
2010 – 2019
- 2019
- [c2]Adegun Adekanmi Adeyinka, Marion Olubunmi Adebiyi, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Tinuke Omolewa Oladele:
A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation. ICCSA (5) 2019: 180-189 - [c1]Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Adekanmi Adeyinka Adegun, Marion Oluwabunmi Adebiyi:
Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy. ICCSA (5) 2019: 716-730
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