Olaide Nathaniel Oyelade

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Top Venues

Biomed. Signal Process. Control.

Concurr. Comput. Pract. Exp.

Publications

Olaide Nathaniel Oyelade, Hui Wang, Sunday A. Adewuyi
SaltGAN: A feature-infused and loss-controlled generative adversarial network with preserved checkpoints for evolving histopathology images. Biomed. Signal Process. Control. 95 (2024)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Apu Kumar Saha
SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems. MIC (1) (2024)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm. Biomed. Signal Process. Control. 84 (2023)
Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Abiodun M. Ikotun, Jeffrey O. Agushaka, Yuh-Shan Ho
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. CoRR (2023)
Olutosin Taiwo, Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Mubarak Saad Al-Mutairi
Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model. Wirel. Commun. Mob. Comput. 2022 (2022)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. Concurr. Comput. Pract. Exp. 34 (4) (2022)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Hein S. Venter, Seyedali Mirjalili, Amir H. Gandomi
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images. Comput. Biol. Medicine 149 (2022)
Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Mohammad Abualigah
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. IEEE Access 10 (2022)
Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher I. Eke, Andronicus Ayobami Akinyelu
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. 110 (2022)
Xolani Lombo, Olaide Nathaniel Oyelade, Absalom E. Ezugwu
Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique. ICCSA (Workshops 5) (2022)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images. Concurr. Comput. Pract. Exp. 34 (13) (2022)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Sunday A. Adewuyi
Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. Neural Comput. Appl. 34 (4) (2022)
Absalom E. Ezugwu, Amit K. Shukla, Moyinoluwa B. Agbaje, Olaide Nathaniel Oyelade, Adán José García, Jeffrey O. Agushaka
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. Neural Comput. Appl. 33 (11) (2021)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Haruna Chiroma
CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. IEEE Access 9 (2021)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images. Biomed. Signal Process. Control. 65 (2021)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. CoRR (2021)
Olaide Nathaniel Oyelade, Absalom E. Ezugwu
A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography. IEEE Access 8 (2020)