Results 131 to 140 of about 133,438 (232)
Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming. [PDF]
NPJ Syst Biol ApplChevalier S +12 more
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Fully automated processor chip design: motivation, challenges and future directions. [PDF]
Natl Sci RevZhang R, Guo J, Cheng S, Chen Y.
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Logic programming with pseudo-Boolean constraints
, 1991 Boolean constraints play an important role in various constraint logic programming languages. In this paper we consider pseudo-Boolean constraints, that is equations and inequalities between pseudo-Boolean functions. A pseudo-Boolean function is an integer-valued function of Boolean variables and thus a generalization of a Boolean function.
openaire +1 more source
Factorization norms and an inverse theorem for MaxCut. [PDF]
Math AnnBalla I, Hambardzumyan L, Tomon I.
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A Scalable Approach to IoT Interoperability: The Share Pattern. [PDF]
Sensors (Basel)Petracci R, Culmone R.
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Evolutionary Learning of Boolean Queries by Genetic Programming. [PDF]
, 2005 Suhail S. J. Owais +2 more
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Color Boolean Logical Operations Program (Updated 2025-12-19)
Fedorchenko Mikhail
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Deep Reinforcement Learning for Intervention of Partially Observable Regulatory Networks. [PDF]
Proc Am Control ConfHosseini SH, Imani M.
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GRiNS: a python library for simulating gene regulatory network dynamics. [PDF]
BMC BioinformaticsHarlapur P, Bv H, Jolly MK.
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