With the advent of fast data streams, real-time machine learning has become a challenging task, demanding many processing resources. In addition, they can be affected by concept drift effect, which methods have to detect changes in distribution and adapt these evolving conditions. Several emerging paradigms such as so-called Smart Dust, Utility Fog, or Swarm Robotics are need for efficient scal...

Quantum dot cellular automata (QCA) introduces a pioneer technology in nano scale computer architectures. Employing this technology is one of the solutions to decrease the size of circuits and reducing power dissipation. In this paper, two new optimized FlipFlops with reset input are proposed in quantum dot cellular automata technology. In addition, comparison with related works is performed.Th...

17 A solution to channel assignment problem in cellular networks is self-organizing channel assignment algorithm with distributed control. In this paper, we propose three cellu-19 lar learning automata based dynamic channel assignment algorithms. In the first two algorithms, no information about the status of of channels in the whole network will 21 be used by cells for channel assignment where...