Gabriel Akibi Inyang & Solomon, Fidelis Uma* Department of Computer Science, University of Cross River State, Nigeria DOI: 10.5281/zenodo.20314706 This study focuses on the development of a machine learning–based approach for classifying the severity of malaria, with particular attention to Read More …
Tag: Machine Learning
Intrusion Detection System (IDS) on Amazon Web Services (AWS) Using Machine Learning
Mohammed Ahmed Abdullah Al-Anzi* Prince Sattam bin Abdulaziz University DOI: 10.5281/zenodo.18267556 Intrusion Detection Systems (IDS) are critical for maintaining security in cloud computing environments, where dynamic infrastructure and multi-tenancy present unique challenges. This research implements and evaluates a machine learning-based Read More …
Effect of Data-Driven Perspective on Stock Market Dynamics Using Machine Learning: A Case Study of Nigeria Cement Industries
Zingdul Kenneth Ponnan 1*, Bitrus Emmanuel 2 & Aaron Thomas Dalok 3 *Department of Computer Science, Federal Polytechnic N’yak, Shendam, Plateau State DOI: 10.5281/zenodo.17661802 The Nigerian stock market, despite its vast potential, remains underutilized, hindering the country’s economic growth. This Read More …
