Abstract: Predicting stochastic spreading processes across large-scale multi-layered networks remains a significant computational challenge due to the intricate interplay between network structure and ...

Bitcoin (BTC) started the first week of February near 16-month lows, with traders expecting further downside. Bitcoin nears 2021 high as trader eyes $50,000 Bitcoin price action left most traders ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...

If you see multiple processes of the same program running on your Windows 11 PC, there is no need to panic, as this is a normal behavior of all Windows computers. However, if you experience ...

ABSTRACT: In this paper, we present some properties of m-convex stochastic processes. The most important results are: a generalization of the sandwich theorem and a result on Hyers-Ulam stability, ...

Abstract: Stability conditions for discrete-time stochastic systems characterized by general stochastic processes have been discussed in earlier articles, under the assumption that the systems are ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

Abstract: Deterministic Turing machines and their associated complexity measures, by construction, cannot capture the complexity of the output of stochastic processes - like those in the real world.

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...

Understanding the physical dynamics of probe diffusion is critical for uncovering subtle interactions between particles and their environments, offering insights into evolving transport mechanisms at ...