Search results for: META-LEARNER

• Day-ahead Solar Power Forecasting Using LightGBM and Self-Attention Based Encoder-Decoder Networks

  Publication

  • H. N. Hokmabad
  • O. Husev
  • J. Belikov

  - IEEE Transactions on Sustainable Energy - Year 2024

  The burgeoning trend of integrating renewable energy harvesters into the grid introduces critical issues for its reliability and stability. These issues arise from the stochastic and intermittent nature of renewable energy sources. Data-driven forecasting tools are indispensable in mitigating these challenges with their rugged performance. However, tools relying solely on data-driven methods often underperform when an adequate...

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• Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection

  Publication

  • A. G. Akintola
  • A. O. Balogun
  • L. F. Capretz
  • H. A. Mojeed
  • S. Basri
  • S. A. Salihu
  • F. E. Usman-Hamza
  • P. O. Sadiku
  • G. B. Balogun
  • Z. O. Alanamu

  - Applied Sciences-Basel - Year 2022

  As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware. The most extensively used method for identifying Android malware is signature-based detection. The drawback of this method, however, is that it is unable to detect unknown malware. As a consequence of this problem,...

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