Browsing UTSA Faculty and Staff Works by Subject "machine learning"

Now showing items 1-4 of 4

    • Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing 

      Osanaiye, Opeyemi; Cai, Haibin; Choo, Kim-Kwang Raymond; Dehghantanha, Ali; Xu, Zheng; Dlodlo, Mqhele (EURASIP Journal on Wireless Communications and Networking;130, 2016-05-10)
      Widespread adoption of cloud computing has increased the attractiveness of such services to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud’s bandwidth, services and resources to render the ...

    • Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia 

      Bitew, Fikrewold H.; Sparks, Corey S.; Nyarko, Samuel H. (Public Health Nutrition;Volume 25, Issue 2, 2021-10-08)
      Objective: Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of childhood stunting by using various machine learning ...

    • Quantum Computation, Quantum Algorithms and Implications on Data Science 

      Kim, Nathan; Garcia, Jeremy; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
      Quantum computing is a new revolutionary computing paradigm, first theorized in 1981. It is based on quantum physics and quantum mechanics, which are fundamentally stochastic in nature with inherent randomness and uncertainty. ...

    • Statistical Perspectives in Teaching Deep Learning from Fundamentals to Applications 

      Kim, Nathan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;, 2020-12)
      The use of Artificial Intelligence, machine learning and deep learning have gained a lot of attention and become increasingly popular in many areas of application. Historically machine learning and theory had strong ...