Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Olaide N. Oyelade"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract There is a wide application of deep learning technique to unimodal medical image analysis with significant classification accuracy performance observed. However, real-world diagnosis of some chronic diseases such as breast cancer often requi
Externí odkaz:
https://doaj.org/article/374a82a73b5f4ac094d0f52d7f44fcbc
Autor:
Olaide N. Oyelade, Absalom E. Ezugwu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-33 (2022)
Abstract Feature classification in digital medical images like mammography presents an optimization problem which researchers often neglect. The use of a convolutional neural network (CNN) in feature extraction and classification has been widely repo
Externí odkaz:
https://doaj.org/article/b97587516027489b9b56a4c5be3db1fe
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-22 (2022)
Abstract The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable balance of the exploration and exploitation phases as a metaheuristic approach. Stil
Externí odkaz:
https://doaj.org/article/8a5e5f6b983449cca33682132edf73ae
Publikováno v:
Results in Control and Optimization, Vol 11, Iss , Pp 100225- (2023)
There is a surge in the application of population-based metaheuristic algorithms to find the optimal feature subset from high dimensional datasets. Many of these approaches cannot properly scale especially as they are expected to maintain two opposin
Externí odkaz:
https://doaj.org/article/ed759c792a274f418f7a6fedaed26f48
Autor:
Olaide N. Oyelade, Absalom E. Ezugwu, Mubarak S. Almutairi, Apu Kumar Saha, Laith Abualigah, Haruna Chiroma
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-30 (2022)
Abstract Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous
Externí odkaz:
https://doaj.org/article/c872a180f2aa43e9ae1b4a063275b134
Autor:
Olaide N. Oyelade, Absalom E. Ezugwu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-22 (2022)
Abstract Research in deep learning (DL) has continued to provide significant solutions to the challenges of detecting breast cancer in digital images. Image preprocessing methods and architecture enhancement techniques have been proposed to improve t
Externí odkaz:
https://doaj.org/article/2b5da79686c74bbd8a3436c8cd7de8b2
Autor:
Olaide N. Oyelade, Absalom E. Ezugwu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-28 (2021)
Abstract The design of neural architecture to address the challenge of detecting abnormalities in histopathology images can leverage the gains made in the field of neural architecture search (NAS). The NAS model consists of a search space, search str
Externí odkaz:
https://doaj.org/article/c0583e92148541dda89439446fe8a088
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11787 (2022)
In the past decade, the extraction of valuable information from online biomedical datasets has exponentially increased due to the evolution of data processing devices and the utilization of machine learning capabilities to find useful information in
Externí odkaz:
https://doaj.org/article/7c6e685968df4c11905e85d3bc8b55b0
Autor:
Olaide N. Oyelade, Absalom E. Ezugwu
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100395- (2020)
Coronavirus, also known as COVID-19, has been declared a pandemic by the World Health Organization (WHO). At the time of conducting this study, it had recorded over 11,301,850 confirmed cases while more than 531,806 have died due to it, with these fi
Externí odkaz:
https://doaj.org/article/8139bd3574d84f1a8068c5dc7630ee19
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every field, such as natural language processing, pattern recognition, object detection, image recognition, earth observation and many other r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2261703ca6b70b0e3df7dcd2b24b17a
http://arxiv.org/abs/2304.07542
http://arxiv.org/abs/2304.07542
