Browsing by Subject "Machine learning"

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  • BOTNET DETECTION USING INDEPENDENT COMPONENT ANALYSIS 
    Ibrahim, W.N.H.; Anuar, M.S.; Selamat, Ali Bin; Krejcar, Ondřej (International Islamic University Malaysia-IIUM, 2022)
    Botnet is a significant cyber threat that continues to evolve. Botmasters continue to improve the security framework strategy for botnets to go undetected. Newer botnet source code runs attack detection every second, and ...
  • A hybrid lightweight system for early attack detection in the IoMT fog 
    Hameed, S.S.; Selamat, Ali Bin; Latiff, L.A.; Razak, S.A.; Krejcar, Ondřej; Fujita, H.; Sharif, M.N.A.; Omatu, S. (MDPI-Molecular diversity preservation international, 2021)
    Cyber-attack detection via on-gadget embedded models and cloud systems are widely used for the Internet of Medical Things (IoMT). The former has a limited computation ability, whereas the latter has a long detection time. ...
  • Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review 
    Bujang, Siti Dianah Abdul; Selamat, Ali Bin; Krejcar, Ondřej; Mohamed, Farhan; Cheng, Lim Kok; Chiu, Po Chan; Fujita, Hamido (IEEE, 2023)
    Student success is essential for improving the higher education system student outcome. One way to measure student success is by predicting students' performance based on their prior academic grades. Concerning the ...
  • Multiclass Prediction Model for Student Grade Prediction Using Machine Learning 
    Bujang, Siti Dianah Abdul; Selamat, Ali; Ibrahim, Roliana; Krejcar, Ondřej; Herrera-Viedma, Enrique; Fujita, Hamido; Ghani, Nor Azura Md (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021)
    Today, predictive analytics applications became an urgent desire in higher educational institutions. Predictive analytics used advanced analytics that encompasses machine learning implementation to derive high-quality ...
  • Online Learning to Cache and Recommend in the Next Generation Cellular Networks 
    Tharakan, Krishnendu S.; Bharath, B. N.; Bhatia, Vimal (IEEE, 2024)
    An efficient caching can be achieved by predicting the popularity of the files accurately. It is well known that the popularity of a file can be nudged by using recommendation, and hence it can be estimated accurately ...
  • A state-of-the-art appraisal of bankruptcy prediction models focussing on the field’s core authors: 2010–2022 
    Soukal, Ivan; Mačí, Jan; Trnková, Gabriela; Svobodová, Libuše; Hedvičáková, Martina; Freibauer Hamplová, Eva; Marešová, Petra; Lefley, Frank (EMERALD GROUP PUBLISHING LTD, 2024)
    Purpose: The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of ...
  • VIOLA jones algorithm with capsule graph network for deepfake detection 
    Kandasamy, Venkatachalam; Trojovský, Pavel; Hubálovský, Štěpán (PeerJ Inc, 2023)
    DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces. Moreover, the capability of current ...

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