Ibrahim Hussein Musa

Ibrahim Hussein Musa
Southeast University (China) | SEU · School of Computer Science and Software Engineering

PhD. School of Computer Science and Software Engineering

About

11
Publications
1,070
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44
Citations
Additional affiliations
August 2015 - August 2019
Southeast University (China)
Position
  • PhD Student

Publications

Publications (11)
Article
Full-text available
Introduction Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificial Intelligence (AI) and Machine Learning (ML) techniques and their applications in various fields hav...
Article
Background Mycetoma is a neglected tropical disease that attracts little attention in regard to research and publications and hence this study was undertaken to determine the trends and global scientific research output in mycetoma-related fields. Methods Mycetoma data were retrieved from the Web of Science (WoS) and Scopus databases. The MeSH Bro...
Article
Full-text available
Objectives: Artificial Intelligence (AI) and Machine Learning (ML) are innovations contributing to the diagnosis and treatment of cancer. The aim is to present an overview of AI and ML application in oncology research. Methods: Data was retrieved from the web of science. Bibliometrics and R packages and VOSviwer software was used for mapping and ne...
Article
Full-text available
To date, SARS-CoV-2 (the virus that causes COVID-19) has spread to almost every region of the world, infecting millions and resulting in the deaths of hundreds of thousands of people. Although it was predicted that Africa would suffer a massive loss of life, the number of COVID-19 cases has been relatively low across the continent. Researchers have...
Article
Sentiment analysis in various languages has been a hot research topic with several applications. Most of the existing models have been reported to work well with widely used language. Were the lass directly applying these models to poor-quality corpora often leads to low results. Thus, to deal with these shortcoming we propose a cross-lingual senti...
Article
Full-text available
Reasoning with inconsistent ontologies plays an important role in Semantic Web applications. An important feature of argument theory is that it is able to naturally handle inconsistencies in ontologies and allows a user to represent information in the form of an argument. In argumentation, given an inconsistent knowledge base, arguments compete to...
Article
Full-text available
The splitting approach is developed for the numerical simulation of genetic regulatory networks with a stable steady-state structure. The numerical results of the simulation of a one-gene network, a two-gene network, and a p53-mdm2 network show that the new splitting methods constructed in this paper are remarkably more effective and more suitable...
Conference Paper
In this paper, a family of exponential integrators of Runge-Kutta type are formulated for initial value problems of systems of ordinary differential equations with asymptotically stable equilibria. A convenient approach to constructing new exponential RK methods on the base of traditional Runge-Kutta methods is presented. The exponential RK methods...

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