All Outputs (3)

A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges (2024)
Journal Article
Mienye, I. D., Obaido, G., Jere, N., Mienye, E., Aruleba, K., Emmanuel, I. D., & Ogbuokiri, B. (2024). A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges. Informatics in Medicine Unlocked, 51, Article 101587. https://doi.org/10.1016/j.imu.2024.101587

Explainable AI (XAI) has the potential to transform healthcare by making AI-driven medical decisions more transparent, reliable, and ethically compliant. Despite its promise, the healthcare sector faces several challenges, including the need to balan... Read More about A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges.

Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects (2024)
Journal Article

Drug discovery and development is a time-consuming process that involves identifying, designing, and testing new drugs to address critical medical needs. In recent years, machine learning (ML) has played a vital role in technological advancements and... Read More about Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects.

Comparative study of EIGRP and OSPF protocols based on network convergence (2020)
Journal Article
Okonkwo, I., & Emmanuel, I. Comparative study of EIGRP and OSPF protocols based on network convergence. International Journal of Advanced Computer Science and Applications, 11(6), 39-45. https://doi.org/10.14569/IJACSA.2020.0110605

Dynamic routing protocols are one of the fastest growing routing protocols in networking technologies because of their characteristics such as high throughput, flexibility, low overhead, scalability, easy configuration, bandwidth, and CPU utilization... Read More about Comparative study of EIGRP and OSPF protocols based on network convergence.