David Opeoluwa Oyewola
Orcid: 0000-0001-9638-8764
According to our database1,
David Opeoluwa Oyewola
authored at least 8 papers
between 2021 and 2024.
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Bibliography
2024
Deep Learning for Predicting Attrition Rate in Open and Distance Learning (ODL) Institutions.
Comput., September, 2024
Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction.
Knowl. Based Syst., 2024
Diagnosis of Cardiovascular Diseases by Ensemble Optimization Deep Learning Techniques.
Int. J. Heal. Inf. Syst. Informatics, 2024
2023
Consumer complaints of consumer financial protection bureau via two-stage residual one-dimensional convolutional neural network (TSR1DCNN).
Data Inf. Manag., December, 2023
Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10).
Appl. Comput. Intell. Soft Comput., 2023
2022
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images.
Appl. Artif. Intell., 2022
2021
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing.
PeerJ Comput. Sci., 2021
Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques.
Inf., 2021