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Boolean network optimization by stochastic rewiring
(2024) Cherevko, Christina
In today’s rapidly evolving technological world, the demand for smaller yet more powerful computers is escalating at an unprecedented pace, driving a significant need for research in circuit optimizations. This surge in demand underscores the critical role of logic synthesis, which lies at the heart of digital circuit design. Logic synthesis serves as a pivotal stage in converting a high-level functionality description into an efficient hardware implementation. It is key to meeting the ever-increasing demands for miniaturization and performance enhancement in modern electronics.
Hybrid random fields
(2024) Zhydok, Fedir; Chornei, Ruslan
Hybrid Random Fields is a class of graphical probabilistic models and it combines Bayesian Networks and Markov Random Fields models. Due to certain assumptions and properties of Hybrid Random Fields, it can simplify the calculation of joint distribution for a certain set of random variables and conditional probability densities for each of the random variables.