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91 results for “Expected Value”
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Research ArticleOpen accessIn the abstractLeptospirosis in the Tropics: When Prevention Doesn't Easily Sell as a Ton of CureRoger Lee MendozaProblem statement: Human leptospirosis -- the most widespread zoonotic disease -- thrives in tropical and subtropical climates. It is seldom addressed ex ante or prior to an outbreak or expected outbreak by governments of high-risk countries. Whether common, post-exposure treatment with antimicrobial drugs is more cost-efficient than reducing animal reservoir populations was the overarching question that guided this study. A … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 8,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign Based on Intra-Class Correlation CoefficientsRobert Lew, Gheorghe DorosProblem statement: Reliability studies are concerned with the study of "consistency" or "repeatability" of measurements. Often times (but not always) the reliability coefficients are Intra-class Correlation Coefficients (ICC). Depending on the design or the conceptual intent of the study there are three types of intra-class correlation coefficients, termed intra-class correlation coefficients Case 1, 2 and 3, for measuring the reliability … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 18,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into AccountAzmi Saleh, Takao Tsuji, Tsutomu OyamaProblem statement: In a competitive electricity market with limited number of producers, Generation Companies (Gencos) is facing an oligopoly market rather than a perfect competition. Under oligopoly market environment, each Genco may increase its own profit through a favorable bidding strategy. The objective of a Genco is to maximize its profit and minimize the associated risk. In order to achieve … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,233 accessesView PDFCite
Research ArticleOpen accessIn the abstractA framework to Deal with Missing Data in Data SetsLuai A. Shalabi, Mohannad Najjar, Ahmad A. KayedMost information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also affecting the quantity of classification rules achieved by the data mining system. Missing values could influence the coverage percentage and number of reducts generated. Missing values lead to the difficulty of … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 7,134 accessesView PDFCite
Research ArticleOpen accessIn the abstractPeriodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraints and Varying Order CostHala A. FerganyThis study treats the probabilistic safety stock n-items inventory system having varying order cost and zero lead-time subject to two linear constraints. The expected total cost is composed of three components: the average purchase cost; the expected order cost and the expected holding cost. The policy variables in this model are the number of periods Nr* and the optimal maximum … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Benefits and Barriers as a Critical Success Factor in IT Governance Implementation by Using Interpretive Structural ModelUky Yudatama, Achmad Nizar Hidayanto, Bobby A.A NaziefThis study aims to identify and analyze the key sub-factors of benefits and barriers as critical success factors for the implementation of IT Governance. The hope of the research is that the results of this identification and analysis can provide a high value of benefits in order to stakeholders in implementing IT Governance. In addition, it is expected to also … …Journal of Computer Science, Vol. 15, Issue 7 · 25 Jul 2019 · 7,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Adipose Stem Cells in Collagen on Angiogenesis Process of Burn Healing in Rat Model: Its Number of Blood VesselsLuluk Yunaini, Puji Sari, Dwi Pratami Septiara et al.Angiogenesis in the burn wound healing process is important. The application stem cell therapy in burn wound problem is expected to increase formation of new blood vessel so that the distribution of oxygen and nutrients working well. The purpose of this study was to known effect of human Adipose Derived Stem Cell (hADSC) in collagen gel on the average number … …OnLine Journal of Biological Sciences, Vol. 19, Issue 1 · 7 Jan 2019 · 7,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractPeriodic Service Behavior Strain Analysis-Based Intrusion Detection in CloudS. Priya, R. S. PonmagalThe problem of intrusion detection in cloud environments has been well studied. The presence of adversaries would challenge data security in the cloud by generating intrusion attacks towards the cloud data and should be mitigated for the development of the cloud environment. In mitigating intrusion attacks, there exist several techniques in the literature. The method uses different features like frequency … …Journal of Computer Science, Vol. 20, Issue 2 · 28 Dec 2023 · 5,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,277 accessesView PDFCite