The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Abstract: Deep neural networks are widely used in classification and prediction tasks. These problems are typically solved using multilayer neural networks. However, one of the most challenging tasks ...
Barely three months to the end of the 2025 fiscal year, the 2025 budget’s N54.99 trillion with capital component of N23.96 trillion, is yet to be implemented. President Bola Tinubu signed the 2025 ...
Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
They have raised some concerns about several aspects of the government's 11 additional measures to strengthen safety and discipline in schools, including the decision to install CCTV cameras only in ...
Abstract: In this paper, we discuss the problem of learning state observers for Recurrent Neural Network (RNN) black-box models of dynamical systems. State observers are indeed key to designing ...