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Probabilistic Logic Models for the Lightning Network [PDF]
Cryptography, 2022 The Lightning Network (LN) has emerged as one of the prominent solutions to overcome the biggest limit of blockchain based on PoW: scalability. LN allows for creating a layer on top of an existing blockchain where users can send payments and micro ...
Damiano Azzolini, Fabrizio Riguzzi
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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks [PDF]
BMC Bioinformatics, 2020 Background Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the data ...
Seyed Amir Malekpour +2 more
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Diagnosis of Poisoning Using Probabilistic Logic Networks [PDF]
Proceedings of the Annual Hawaii International Conference on System Sciences, 2021 Medical toxicology is the clinical specialty that treats the toxic effects of substances, be it an overdose, a medication error, or a scorpion sting. The volume of toxicological knowledge has, as with other medical specialties, outstripped the ability of
Michael Chary +2 more
semanticscholar +5 more sources
Efficient Fuzzy Logic Based Probabilistic Broadcasting for Mobile Ad hoc Network [PDF]
International Journal of Computational Intelligence Systems, 2016 In Mobile Ad hoc networks broadcasting is the one of the most important and crucial phenomenon. Broadcasting can be taken up in many ways and the simplest method of broadcasting is simple flooding which can significantly increase the overheads and can ...
Sumit Kumar, Shabana Mehfuz
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Optimizing radio frequency identification network planning through ring probabilistic logic neurons [PDF]
Advances in Mechanical Engineering, 2016 Radio frequency identification is a developing technology that has recently been adopted in industrial applications for identification and tracking operations.
Aydin Azizi +2 more
doaj +3 more sources
Approximate Probabilistic Neural Networks with Gated Threshold Logic [PDF]
2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 2018 Probabilistic Neural Network (PNN) is a feedforward artificial neural network developed for solving classification problems. This paper proposes a hardware implementation of an approximated PNN (APNN) algorithm in which the conventional exponential ...
Olga Krestinskaya, Alex Pappachen James
semanticscholar +9 more sources
Probabilistic logic modeling of network reliability for hybrid network architectures [PDF]
Proceedings of LCN - 21st Annual Conference on Local Computer Networks, 2002 Sandia National Laboratories has found that the reliability and failure modes of current-generation network technologies can be effectively modeled using fault tree-based probabilistic logic modeling (PLM) techniques. We have developed fault tree models that include various hierarchical networking technologies and classes of components interconnected ...
Gregory Dane Wyss +2 more
semanticscholar +5 more sources
Quantum Logic Network for Probabilistic Teleportation of Two-Particle State of General Form [PDF]
Chinese Physics Letters, 2003 A simplification scheme of probabilistic teleportation of two-particle state of general form is given. By means of the primitive operations consisting of single-qubit gates, two-qubit controlled-not gates, Von Neumann measurement and classically ...
Barenco A +11 more
core +6 more sources
Quantum Logic Network for Probabilistic Cloning Quantum States
Communications in Theoretical Physics, 2005 We construct efficient quantum logic network for probabilistic cloning the quantum states used in implemented tasks for which cloning provides some enhancement in performance.
Ting Gao, Yan Feng-Li, Zhi‐Xi Wang
semanticscholar +6 more sources
Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference [PDF]
Information, 2021 In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for knowledge-based inference due to its ability to combine first-order logic inference and probabilistic reasoning.
Ping Zhong +4 more
doaj +2 more sources