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28 results for “Discrete to Continuous”

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Research ArticleOpen accessIn the abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Secure Key Authentication Scheme Based on the Hardness of Solving Elliptic Curve Discrete Logarithm ProblemIzzmier Izzuddin Zulkepli, Eddie Shahril IsmailA key authentication scheme is a scheme that protects a user’s public key from modification and counterfeiting by an adversary. The new development and improvement of key authentication schemes should be made continuously so that the systems are safe and practical to be used. To the best of our knowledge, there is no key authentication using the elliptic curve so … …Journal of Computer Science, Vol. 16, Issue 5 · 15 May 2020 · 7,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Based Bayesian Network Construction Algorithm for Medical Data Fusion to Enhance Services and DiagnosisAhmed SamehTraditional Bayesian networks' algorithms are treating the network construction process as an isolated and autonomous data-driven trial-and-error process and completely ignoring the domain knowledge. In this work we are proposing a new 'Semantically Aware Ontology-Based Bayesian Network construction algorithm' that is knowledge centered instead of data centered. The objective of the new algorithm is to empower patients through improving their … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 8,035 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach to Process Planning: The Urban Traffic Controller ExampleJimoh Falilat Olaitan, Simon Parkinson, Thomas Leo McCluskeyAutomated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many pertinent examples to the engineering community; however, a case study is provided through the urban traffic controller domain. This paper introduce a novel hybrid approach to state-space … …Journal of Computer Science, Vol. 13, Issue 8 · 23 Aug 2017 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeobody Architecture and Petroleum Potential of the Yowi Field, Offshore Eastern Niger Delta, NigeriaPrince Suka Momta, Minapuye Isaac OdigiA study on geobody architecture and petroleum potential of the Yowi Field has been carried out by integrating well logs and 3D seismic data. The objectives of this study include: The determination of the lateral continuity of key horizons; identification of gross geobody distribution and architecture; and the petroleum potential of the field. Well log correlation shows that key horizons … …Current Research in Geoscience, Vol. 6, Issue 1 · 16 Dec 2015 · 7,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractPREDICTING GROUNDWATER LEVEL USING FOURIER SERIES INTEGRATED WITH LEAST SQUARE ESTIMATION METHODManoj K. JhaGroundwater level data is an important indicator of the availability and distribution of groundwater resources of the region. However, it is difficult to understand the continuous and discrete fluctuations of the groundwater level which is controlled by various factors. This study demonstrated the use of Fourier series integrated with the least square estimation method to predict the groundwater level especially … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 26 Mar 2014 · 7,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractAPPROXIMATION OF ESTIMATES IN THE SUSCEPTIBLE-INFECTIOUS-REMOVED EPIDEMIC MODELChanghyuck OhIn this note, a simple approximation for the maximum likelihood estimates of infection and removal parameters used in the Susceptible-Infectious-Removed (SIR) epidemic model is presented. This approximation can be applied when the numbers of susceptible and infected individuals are observable only at discrete points in time. Since, in such cases, a closed form of the likelihood function is generally too … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 21 Mar 2013 · 6,760 accessesView PDFCite
Research ArticleOpen accessIn the abstractMembrane Computing as a Modeling Tool for Discrete SystemsRavie Chandren Muniyandi, Abdullah Mohd. ZinProblem statement: Discrete systems have been modeled by using Ordinary Differential Equation (ODE) in which the variation of concentration of an object was modeled as continuous and deterministic manner, contrary to the real behaviors of such systems. Although, this approaches able to generate the general behavior of the system, the specific discrete processes and stochastic behaviors in the system have … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoundary Distributions with Respect to Chebyshev's InequalityPeter Bias, Shawn Hedman, David RoseVariables whose distributions achieve the boundary value of Chebyshev’s inequality are characterized and it is found that non-constant variables with this property are symmetric discrete with at most three values. Nevertheless, the bound of Chebyshev’s inequality remains optimal for the class of continuous variables. …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 8,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferential Diagnosis Knowledge Building by Using CUC-C4.5 FrameworkKusrini, Sri Hartati, Retantyo Wardoyo, Agus HarjokoProblem statement: The Case Based Reasoning (CBR) method can be implemented in differential diagnosis analysis. C4.5 algorithm has been commonly used to help the method's knowledge building process. This process is completed by constructing decision tree from previously handled cases data. The C4.5 algorithm itself can be used with an assumption that all the cases has an exact and equal … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 8,411 accessesView PDFCite