latency

The article proposes an innovative approach to optimize the routing process in distributed networks using machine learning techniques, specifically reinforcement learning. This method enables the adaptive determination of optimal data transmission paths based on current network conditions, enhancing overall performance and resilience to dynamic traffic fluctuations. The proposed approach dynamically adjusts to variations in network topology, traffic load, and node availability, ensuring efficient data flow management even in highly dynamic environments.

The article highlights the idea that carries a scientific society about the notion of latent
crimes, definition of latency. Besides, the examination of concealing factors of such crimes is
upheld based on the sample of crimes on sex rimes. And finally, the author affirms the
necessity to apply victimological preventive measures against violent crimes considering a high
level of their latency

The article highlights the idea that carries a scientific society about the notion of latent crimes, definition of latency. Besides, the examination of concealing factors of such crimes is upheld based on the sample of crimes on sex rimes. And finally, the author affirms the necessity to apply victimological preventive measures against violent crimes considering a high level of their latency.