Olaide Nathaniel Oyelade

According to our database, Olaide Nathaniel Oyelade authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Biomed. Signal Process. Control., July, 2023

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review.

Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Abiodun M. Ikotun, Jeffrey O. Agushaka, Yuh-Shan Ho

CoRR, 2023

2022

Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model.

Olutosin Taiwo, Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Mubarak Saad Al-Mutairi

Wirel. Commun. Mob. Comput., 2022

Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Sunday A. Adewuyi

Neural Comput. Appl., 2022

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects.

Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu

Eng. Appl. Artif. Intell., 2022

A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Concurr. Comput. Pract. Exp., 2022

Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Concurr. Comput. Pract. Exp., 2022

Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Hein S. Venter, Seyedali Mirjalili, Amir H. Gandomi

Comput. Biol. Medicine, 2022

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm.

Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Mohammad Abualigah

IEEE Access, 2022

Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique.

Xolani Lombo, Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021

Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature.

Absalom E. Ezugwu, Amit K. Shukla, Moyinoluwa B. Agbaje, Olaide Nathaniel Oyelade, Adán José García, Jeffrey O. Agushaka

Neural Comput. Appl., 2021

Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

CoRR, 2021

A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Biomed. Signal Process. Control., 2021

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Haruna Chiroma

IEEE Access, 2021

2020

A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography.

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

IEEE Access, 2020