David Opeoluwa Oyewola

According to our database, David Opeoluwa Oyewola authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction.

David Opeoluwa Oyewola, Sulaiman Awwal Akinwunmi, Temidayo Oluwatosin Omotehinwa

Knowl. Based Syst., 2024

Diagnosis of Cardiovascular Diseases by Ensemble Optimization Deep Learning Techniques.

David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra

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).

David Opeoluwa Oyewola, Temidayo Oluwatosin Omotehinwa, Emmanuel Gbenga Dada

Data Inf. Manag., December, 2023

Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10).

Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

Appl. Comput. Intell. Soft Comput., 2023

2022

A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images.

David Opeoluwa Oyewola, Dada Emmanuel Gbenga, Sanjay Misra, Robertas Damasevicius

Appl. Artif. Intell., 2022

2021

Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing.

David Opeoluwa Oyewola, Dada Emmanuel Gbenga, Sanjay Misra, Robertas Damasevicius

PeerJ Comput. Sci., 2021

Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques.

David Opeoluwa Oyewola, Dada Emmanuel Gbenga, Sanjay Misra, Robertas Damasevicius

Inf., 2021