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91 results for “Expected Value”

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Research ArticleOpen accessIn the keywordsPersian Curve Versus Monte Carlo MethodAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranThe Monte Carlo Simulation method is a powerfultool for solving problems including random variables. The basic idea toimplement a Monte Carlo simulation is to first generate samples of randominputs from their assumed distributionfunctions and then perform a deterministic calculation on the generated randominputs, based on mathematical modeling of the system, to obtain output results.An early version of Monte Carlo simulation … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 6 Jul 2021 · 8,300 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDividend Maximization in the Cramer-Lundberg Model using Homotopy Analysis MethodJuma Kasozi, Fred Mayambala, Charles Wilson MaheraProblem statement: We used the Homotopy Analysis Method (HAM) to numerically compute the value function of the dividend payment in the basic insurance process. Approach: The process is a constant income stream from premiums which is subtracted a claim process of the Poisson type. Further, an allowance for payment of dividends to share holders was incorporated. Results: The case when … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermal Inactivation and Kinetic Characterisation of Peroxidase from Leaves of Brassica chinensis L.Youru Huang, Keyu Rong, Shiman Zhao et al.As one of the perennial vegetable varieties grown in the south of Yangtze River in China, Brassica chinensis L. can be produced and supplied to the market all year round and has high economic value. However, there is little direct literature on postharvest heat treatment of Brassica chinensis L. In this study, Peroxidase (POD) was extracted from Brassica chinensis L. … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 12 Jul 2024 · 4,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Model of Crowdwork System Based on Blockchain Technology in the Creative IndustrySugiarto Hartono, Harjanto Prabowo et al.With the increasing number of internet users, the opportunity for the crowdwork system will be wide open for freelancers looking for work and for job providers looking for freelancers for their projects, especially in the creative industry. Trust is an issue in the existing crowdwork system. The users still do not know each other, so malicious actions can arise between … …Journal of Computer Science, Vol. 19, Issue 8 · 17 Jul 2023 · 5,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Fractured Reservoir Characterization by using Geological and Petrophysical LogsZohreh Movahed, Farzaneh AghajariDue to structural complexities in some wells, higher than the expected thickness of the Asmari formation is found. Fracture intensity and deep-rooted fractures broadly increase the risk of unpredictable water production. The well-test analysis is not sufficient in describing fracture properties. Unfortunately, the core condition is poor in the fractured zones and cannot be used to provide reliable information. So, … …Current Research in Geoscience, Vol. 12, Issue 1 · 3 Dec 2022 · 9,927 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractBackground Gamma Radiation in Nigerian Market EnvironmentChinyere Ononugbo, Uzochukwu AnekweHuman exposure to ionizing radiation from natural sources is an unending and unpreventable phenomenon on earth. Radiation profile and exposure risks for some major markets in Port Harcourt metropolis have been ascertained using radiation exposure rate meter (Radalert-100). The exposure rate measured at mile 3 market and its environs ranged from 0.001±0.0001 to 0.022±0.003 mRh-1 with mean value of 0.014±0.002 … …American Journal of Environmental Sciences, Vol. 16, Issue 3 · 22 Jul 2020 · 7,119 accessesView PDFCite