Heat transfer is often seen as a straightforward flow from hot to cold, but at the microscopic level, it’s driven by probability. Particle motion and collisions occur randomly, making energy exchange ...

Abstract: With the rapid development of intelligent distribution network, the uncertainty of the load and the randomness of distributed generation have brought new challenges to distribution network ...

Li, M. , & Li, X. . (2004). On the probabilistic distribution of wind speeds: theoretical development and comparison with data. International Journal of Exergy, 1(2 ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

In this paper, we propose two controlled probabilistic quantum key distribution protocols with AKLT states. An AKLT state is a gapped ground state with minimum energy, and owing to the properties of ...

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...