Results 11 to 20 of about 52,526 (306)
Petroleum Research, 2023 Various uncertainty quantification methodologies are presented using a combination of several deterministic decline curve analysis models and two bootstrapping algorithms. These probabilistic models are applied to 126 sample wells from the Permian basin.
Chukwuemeka O. Okoli +2 more
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QUATERNARY STRUCTURE SYNTHESIS IN ALGEBRAIC BAYESIAN NETWORKS: INCREMENTAL AND DECREMENTAL ALGORITHMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 Subject of Research. Algebraic Bayesian networks are referred to a class of probabilistic graphical models that are a representation of knowledge bases with uncertainty. The distinguishing feature of ABN is the availability of global structures.
A. V. Romanov +2 more
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Mathematics, 2023 In the realm of data protection strategies, differential privacy ensures that unauthorized entities cannot reconstruct original data from system outputs. This study explores discrete event systems, specifically through probabilistic automata.
Tareq Ahmad Al-Sarayrah +4 more
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Journal of Electrical and Computer Engineering, 2022 With the increasing improvement of people’s living standards, more and more tourists choose to travel independently, which puts forward higher requirements for the existing tourist guide system of scenic spots. Augmented reality (AR) is a technology that
Xueqiu Zhuang, Huihua Jiao, Kai Lu
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Uncertainty Quantification of Steady-State Seepage Through Earth-fill Dams by Random Finite Element Method and Multivariate Adaptive Regression Splines [PDF]
Journal of Hydraulic Structures, 2023 This paper aims to investigate the effects of uncertainty in soil characteristics and dam geometry on seepage flow using the hybrid Multivariate Adaptive Regression Splines (MARS) and Monte Carlo Method (MCM).
Milad Kheiry, Farhoud Kalateh
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RDA: A Coq Library to Reason about Randomised Distributed Algorithms in the Message Passing Model [PDF]
Scientific Annals of Computer Science, 2016 Distributed algorithms have received considerable attention and were studied intensively in the past few decades. Under some hypotheses on the distributed system, there is no deterministic solution to certain classical problems.
A. Fontaine, A. Zemmari
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Probabilistic analysis of some distributed algorithms [PDF]
Random Structures & Algorithms, 1990 AbstractIn this paper we analyze: (i) a storage allocation algorithm (D.E. Knuth, The Art of Computer Programming‐Vol. I, Addison‐Wesley, Reading, MA, 1969, Ex. 2.2.2.13) which permits one to maintain two stacks inside a shared (continuous) memory area of a fixed size, and (ii) the well‐known banker algorithm which plays a fundamental role in parallel ...
Louchard, Guy, Schott, René
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Probabilistic algorithm for mining frequent sequences
Lietuvos Matematikos Rinkinys, 2010 Frequent sequence mining in large volume databases is important in many areas, e.g., biological, climate, financial databases. Exact frequent sequence mining algorithms usually read the whole database many times, and if the database is large enough, then
Julija Pragarauskaitė +1 more
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An assessment tool for computer-assisted semen analysis (CASA) algorithms
Scientific Reports, 2022 Computer-Assisted Semen Analysis (CASA) enables reliable analysis of semen images, and is designed to process large number of images with high consistency, accuracy, and repeatability.
Ji-won Choi +5 more
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应用气象学报, 2022 To address the practical needs of objectively describing the uncertainty of rainfall-based landslides and the existing problems of single warning indicators and subjective forecasting methods in the meteorological disaster early warning business ...
Liu Haizhi +6 more
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