2 publications

• Published Subscription 14 Aug 2023

  Big Data Dimensionality Reduction Technique with Deep Autoencoder

  By O.P. Nweke, D. Matthias, E.O. Bennett

  Abstract: Dimensionality reduction refers to the act of narrowing the focus from an abundance of potential variables to a more manageable set. Google created the open-source Flutter framework for creating mobile apps. The issue of high-dimensional data hindered the system's effectiveness in terms of providing correct findings (the quantity of false-positive, negative, true-positive, and negative outcomes). The process of solving a classification problem, carrying out a precise visualization, and transmitting vast …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article →

• Published Subscription 12 Jun 2023

  A Model for Intrusion Detection and Prevention in a Database System Using Deep Learning

  By Oplekwu Sussan, D. Matthias, V.I.E. Anireh

  Abstract: With emerging and improved technologies, attacks on database systems and network have also increased. Among the top 10 security weaknesses mentioned, SQL injection and cross-site scripting attacks are the two most significant that cause anomalies in Database Systems. Although these datasets in the database may contain outliers which are typically abnormalities, and therefore accurate classification is necessary in order to prevent false alarms and identify these anomalies. This research created …

  Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article →